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math_titles.txt
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Wednesday, September 07, 2016 [START]
1 <--> Nonlinear Functional Analysis
Nonlinear Functional Analysis by Klaus Deimling
Publisher: Springer | 1985 | ISBN: 3540139281 | 450 pages | DJVU | 17,9 MB
14 <--> Fractional Calculus for Scientists and Engineers (Repost)
http://nitroflare.com/view/528E1061747640D/Fractional_Calculus_for_Scientists_and_Engineers.pdf
Manuel Duarte Ortigueira, "Fractional Calculus for Scientists and Engineers"
2011 | pages: 159 | ISBN: 9400707460 | PDF | 1,5 mb
This book gives a practical overview of Fractional Calculus as it relates to Signal Processing
67 <--> Hands-On Start to Wolfram Mathematica
http://nitroflare.com/view/ECF6F1A67E053DB/1579550770.pdf
Cliff Hastings, Kelvin Mischo, Michael Morrison, "Hands-On Start to Wolfram Mathematica"
2015 | ISBN-10: 1579550770 | 469 pages | PDF | 19 MB
For more than 25 years, Mathematica has been the principal computation environment for millions of innovators, educators, students, and others around the world. This book is an introduction to Mathematica. The goal is to provide a hands-on experience introducing the breadth of Mathematica, with a focus on ease of use. Readers get detailed instruction with examples for interactive learning and end-of-chapter exercises. Each chapter also contains authors tips from their combined 50+ years of Mathematica use.
68 <--> Regression Analysis and Linear Models: Concepts, Applications, and Implementation
http://www.afhayes.com/
http://nitroflare.com/view/D2E42218DB569B7/1462521134.pdf
Richard B. Darlington, Andrew F. Hayes, "Regression Analysis and Linear Models: Concepts, Applications, and Implementation"
2016 | ISBN-10: 1462521134 | 661 pages | PDF | 8 MB
Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The author's website (www.afhayes.com) provides datasets for the book's examples as well as the RLM macro for SPSS and SAS.
Pedagogical Features:
*Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification.
*An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses.
*Students are guided to practice what they learn in each chapter using datasets provided online.
82 <--> Mathematical Morphology and Its Applications to Image and Signal Processing
http://nitroflare.com/view/2004B5592C8E706/Mathematical_Morphology_and_Its_Applications_to_Image_and_Signal_Processing.djvu
Petros Maragos, Ronald W. Schafer, Muhammad Akmal Butt, "Mathematical Morphology and Its Applications to Image and Signal Processing"
1996 | pages: 479 | ISBN: 1461380634 | DJVU | 9,3 mb
Mathematical morphology (MM) is a powerful methodology for the quantitative analysis of geometrical structures. It consists of a broad and coherent collection of theoretical concepts, nonlinear signal operators, and algorithms aiming at extracting, from images or other geometrical objects, information related to their shape and size. Its mathematical origins stem from set theory, lattice algebra, and integral and stochastic geometry.
MM was initiated in the late 1960s by G. Matheron and J. Serra at the Fontainebleau School of Mines in France. Originally it was applied to analyzing images from geological or biological specimens. However, its rich theoretical framework, algorithmic efficiency, easy implementability on special hardware, and suitability for many shape- oriented problems have propelled its widespread diffusion and adoption by many academic and industry groups in many countries as one among the dominant image analysis methodologies.
The purpose of Mathematical Morphology and its Applications to Image and Signal Processing is to provide the image analysis community with a sampling from the current developments in the theoretical (deterministic and stochastic) and computational aspects of MM and its applications to image and signal processing. The book consists of the papers presented at the ISMM'96 grouped into the following themes:
Theory
Connectivity
Filtering
Nonlinear System Related to Morphology
Algorithms/Architectures
Granulometries, Texture
Segmentation
Image Sequence Analysis
Learning
Document Analysis
Applications
99 <--> Introduction to Statistics and Data Analysis, 5th edition
http://nitroflare.com/view/2B57A712FF92E27/1305115341.pdf
Roxy Peck, "Introduction to Statistics and Data Analysis, 5th edition"
English | ISBN: 1305115341 | 2015 | 844 pages | PDF | 72 MB
INTRODUCTION TO STATISTICS AND DATA ANALYSIS introduces you to the study of statistics and data analysis by using real data and attention-grabbing examples. The authors guide you through an intuition-based learning process that stresses interpretation and communication of statistical information. Simple notation–including frequent substitution of words for symbols–helps you grasp concepts and cement your comprehension. You'll also find coverage of most major technologies as a problem-solving tool, plus hands-on activities in each chapter that allow you to practice statistics firsthand.
101 <--> Hungarian Problem Book 1
http://nitroflare.com/view/5C4F900CD8B6C59/0883856115.pdf
E. Rapaport, "Hungarian Problem Book 1"
1975 | ISBN-10: 0883856115 | 118 pages | PDF | 8 MB
102 <--> Hungarian Problem Book II: Based on the Eotvos Competitions 1906-1928
http://nitroflare.com/view/26789B4923A7A8C/0883856123.pdf
Jozsef Kurschak, "Hungarian Problem Book II: Based on the Eotvos Competitions 1906-1928"
1963 | ISBN-10: 0883856123 | 120 pages | PDF | 7 MB
The Eötvös Contests in elementary mathematics have been open to Hungarian students in their last year of high school ever since 1894. They are famous for the simplicity of the concepts employed, the mathematical depth reached, and the diversity of elementary mathematical fields touched. But perhaps their most remarkable feature is the influence that they, together with a mathematics journal for students, seem to have had on the young people of that small country. Among the winners of the first eleven contests (i.e., those contained in volume 11) many turned into scientists of international fame; e.g., L. Fejér, T. von Kármán, D. Kónig, M. Riesz. Among the winners of the next twenty contests (i.e., those contained in this volume) are G. Szegö, T. Radó, E. Teller; all three are well known in the United States, where they now reside. This translation of the Eötvös Contests Problems from 1894-1928 is based on the revised Hungarian edition of J. Kürschák's original compilation. Kürschák combined his excellence in mathematics with his interest in education when he supplied the elegant solutions and illuminating explanations.
103 <--> Hungarian Problem Book III
http://nitroflare.com/view/DB0F6B9DBB81051/0883856441.pdf
Andy Liu (Translator), "Hungarian Problem Book III"
2001 | ISBN-10: 0883856441 | 160 pages | PDF | 2 MB
This book contains the problems and solutions of a famous Hungarian mathematics competition for high school students, from 1929 to 1943. The competition is the oldest in the world, and started in 1894. Two earlier volumes in this series contain the papers up to 1928, and further volumes are planned. The current edition adds a lot of background material which is helpful for solving the problems therein and beyond. Multiple solutions to each problem are exhibited, often with discussions of necessary background material or further remarks. This feature will increase the appeal of the book to experienced mathematicians as well as the beginners for whom it is primarily intended.
104 <--> Hungarian Problem Book IV
http://nitroflare.com/view/C37CB7D44838002/0883858312.pdf
Robert Barrington Leigh, "Hungarian Problem Book IV"
2012 | ISBN-10: 0883858312 | 130 pages | PDF | 2 MB
The Kürschák Mathematics Competition is the oldest high school mathematics competition in the world, dating back to 1894. This book is a continuation of Hungarian Problem Book III and takes the contest through 1963. Forty-eight problems in all are presented in this volume. Problems are classified under combinatorics, graph theory, number theory, divisibility, sums and differences, algebra, geometry, tangent lines and circles, geometric inequalities, combinatorial geometry, trigonometry and solid geometry. Multiple solutions to the problems are presented along with background material. There is a substantial section entitled 'Looking Back', which provides additional insights into the problems. Hungarian Problem Book IV is intended for beginners, although the experienced student will find much here. Beginners are encouraged to work the problems in each section and then to compare their results against the solutions presented in the book. They will find ample material in each section to help them improve their problem-solving techniques.
105 <--> Exploring Advanced Euclidean Geometry with GeoGebra
http://nitroflare.com/view/75C395229B2AB52/0883857847.pdf
Gerard A. Venema, "Exploring Advanced Euclidean Geometry with GeoGebra"
2013 | ISBN-10: 0883857847 | 186 pages | PDF | 4 MB
This book provides an enquiry-based introduction to advanced Euclidean geometry. It utilises the dynamic geometry program GeoGebra to explore many of the most interesting theorems in the subject. Topics covered include triangle centres, inscribed, circumscribed and escribed circles, medial and orthic triangles, the nine-point circle, the theorems of Ceva and Menelaus, and many applications. The final chapter explores constructions in the Poincaré disk model for hyperbolic geometry. The book can be used either as a computer laboratory manual to supplement an undergraduate course or as a stand-alone introduction to advanced topics in Euclidean geometry. The exposition consists almost entirely of exercises (with hints) that guide students as they discover the geometric relationships for themselves. The ideas are first explored at the computer and then assembled into a proof of the result under investigation, allowing readers to experience the joy of discovery and develop a deeper appreciation for the subject.
109 <--> A Survey of Matrix Theory and Matrix Inequalities
http://nitroflare.com/view/D57C06472E092D3/048667102X.epub
http://nitroflare.com/view/947704DDBD60AE8/048667102X.pdf
A Survey of Matrix Theory and Matrix Inequalities (Dover Books on Mathematics) by Marvin Marcus, Henryk Minc
2010 | ISBN: 048667102X | English | 192 pages | EPUB/PDF (conv) | 11 MB/4 MB
Written for advanced undergraduate students, this highly regarded book presents an enormous amount of information in a concise and accessible format. Beginning with the assumption that the reader has never seen a matrix before, the authors go on to provide a survey of a substantial part of the field, including many areas of modern research interest.
Part One of the book covers not only the standard ideas of matrix theory, but ones, as the authors state, "that reflect our own prejudices," among them Kronecker products, compound and induced matrices, quadratic relations, permanents, incidence matrices and generalizations of commutativity.
Part Two begins with a survey of elementary properties of convex sets and polyhedra and presents a proof of the Birkhoff theorem on doubly stochastic matrices. This is followed by a discussion of the properties of convex functions and a list of classical inequalities. This material is then combined to yield many of the interesting matrix inequalities of Weyl, Fan, Kantorovich and others. The treatment is along the lines developed by these authors and their successors and many of their proofs are included. This chapter contains an account of the classical Perron Frobenius-Wielandt theory of indecomposable nonnegative matrices and ends with some important results on stochastic matrices.
Part Three is concerned with a variety of results on the localization of the characteristic roots of a matrix in terms of simple functions of its entries or of entries of a related matrix. The presentation is essentially in historical order, and out of the vast number of results in this field the authors have culled those that seemed most interesting or useful. Readers will find many of the proofs of classical theorems and a substantial number of proofs of results in contemporary research literature.
113 <--> "Numerical Simulation: From Brain Imaging to Turbulent Flows" ed. by Ricardo Lopez-Ruiz
http://nitroflare.com/view/2198FC2DAAAB3FF/NumericalSimulation16ITAe.pdf
http://nitroflare.com/view/0BDFAED112665B8/
http://nitroflare.com/view/363904FD1E3E42C/AdvancesDiscreteTimeSystemsITO12.pdf
http://nitroflare.com/view/589083E8E1FFB44/AdvancesModelingFluidDynamicsITO12.pdf
http://nitroflare.com/view/BD39B04B00F2FC8/NumericalSimulationFromTheory2IndustryITO12.pdf
http://nitroflare.com/view/6999B6C14283232/Mathematical_Methods_for_Physicists_and_Engineers%2C_2_ed_2011.epub
http://nitroflare.com/view/BECBAF59F6197AE/
http://nitroflare.com/view/59B5F118DAF81BB/Mathematical_Models%2C_Methods_and_Applications_2016.pdf
http://nitroflare.com/view/EC3EE423C77B53C/Mathematics_for_the_Physical_Sciences_2015.epub
http://nitroflare.com/view/B123C3DA0C0FEED/MathematicsComplexityDynamicalSystems12.pdf
http://nitroflare.com/view/3D27EAB048CFEB4/ModelingControlAspectsWindPowerSystemsITO13.pdf
http://nitroflare.com/view/90103C8BF407A9B/ModelingMeasurementMethods4Acoustic_ITO13.pdf
http://nitroflare.com/view/C8CED3382CBA761/ModelingSimulationEngineeringITO.pdf
http://nitroflare.com/view/19BD5B6D169239D/Numerical_Simulations_of_Incompressible_Flows_2003.pdf
http://www.nitroflare.com/view/A077436A4C93A47
http://nitroflare.com/view/FC3FAB5A3A36651/
http://depositfiles.com/files/pr5pgatpe
http://www.filedwon.info/qzt04wcb3o9y/NumericalSimulation16ITAe.pdf.html
http://turbobit.net/bfr4mzqul9mz.html
http://www.hitfile.net/QOG7sKW
"Numerical Simulation: From Brain Imaging to Turbulent Flows" ed. by Ricardo Lopez-Ruiz
ITexLi | 2016 | ISBN: 9535125648 9535125656 9789535125655 9789535125648 | 429 pages | PDF | 83 MB
This book presents an overview of some models, methods, and numerical computations that are useful for the applied research scientists and mathematicians, fluid tech engineers, and postgraduate students.
Nowadays mathematical modeling and numerical simulations play an important role in life and natural science. Numerous researchers are working in developing different methods and techniques to help understand the behavior of very complex systems, from the brain activity with real importance in medicine to the turbulent flows with important applications in physics and engineering.
Contents
Preface
1 BOLD fMRI Simulation
2 Basics of Multibody Systems: Presented by Practical Simulation Examples of Spine Models
3 Simulation of Neural Behavior
4 Numerical Simulations of Dynamics Behaviour of the Action Potential of the Human Heart's Conduction System
5 Numerical Simulation Using Artificial Neural Network on Fractional Differential Equations
6 Numerical Simulations of Some Real-Life Problems Governed by ODEs
7 A Multi-Domain Spectral Collocation Approach for Solving Lane-Emden Type Equations
8 Numerical Solution of System of Fractional Differential Equations in Imprecise Environment
9 Analysis of Heat Transfer in an Experimental Heat Exchanger Using Numerical Simulation
10 Solving Inverse Heat Transfer Problems When Using CFD Modeling
11 A Numerical Procedure for 2D Fluid Flow Simulation in Unstructured Meshes
12 On a New Numerical Approach on Micropolar Fluid, Heat and Mass Transfer Over an Unsteady Stretching Sheet Through Porous Media in the Presence of a Heat Source/Sink and Chemical Reaction
13 Computational Fluid Dynamics in Turbulent Flow Applications
14 Two-Fluid RANS-RSTM-PDF Model for Turbulent Particulate Flows
15 Free Surface Flow Simulation Using VOF Method
16 Transport and Mixing in Liquid Phase Using Large Eddy Simulation: A Review
1st true PDF with TOC BookMarkLinks
123 <--> Algebra and Trigonometry with Analytic Geometry, 12 edition (repost)
http://nitroflare.com/view/B03E7632701F51B/049510826X.pdf
Earl W. Swokowski, Jeffery A. Cole, "Algebra and Trigonometry with Analytic Geometry, 12 edition"
2007 | ISBN: 049510826X | 1024 pages | PDF | 55 MB
Clear explanations, an uncluttered and appealing layout, and examples and exercises featuring a variety of real-life applications have made this text popular among students year after year. This latest edition of Swokowski and Cole's ALGEBRA AND TRIGONOMETRY WITH ANALYTIC GEOMETRY retains these features. The problems have been consistently praised for being at just the right level for precalculus students like you. The book also provides calculator examples, including specific keystrokes that show you how to use various graphing calculators to solve problems more quickly. Perhaps most important-this book effectively prepares you for further courses in mathematics.
0 <--> Modular Theory in Operator Algebras
http://nitroflare.com/view/4E494C3D7C3876C/0856261904.pdf
http://depositfiles.com/files/e73dkw2bh
Modular Theory in Operator Algebras
Publisher: Routledge | 1981 | ISBN: 0856261904 | 492 pages | PDF (scan) | 19,1 MB
The discovery of the modular operator and the modular automorphism group associated a normal semifinite weight has led to a powerful theory - the modular theory - which is nowadays essential to the consideration of many problems concerning operator algebras.
Wednesday, September 07, 2016 [END]
2016/08/23 [START]
0 <--> Manifolds, Sheaves, and Cohomology (Springer Studium Mathematik - Master)
18 <--> From Erdös to Kiev: Problems of Olympiad Caliber
http://nitroflare.com/view/C6F64250F78DD14/0883853248.pdf
http://depositfiles.com/files/31ecqchei
From Erdös to Kiev: Problems of Olympiad Caliber by Ross Honsberger
Publisher: The Mathematical Association of America | 1996 | ISBN: 0883853248 | 267 pages | PDF | 12,2 MB
This is an intriguing collection of challenging problems with solutions that use straightforward arguments from elementary mathematics with only the occasional foray into sophisticated or advanced ideas. The problems included in this collection are taken from geometry, number theory, probability, and combinatorics. Solutions to the problems are included.
31 <--> Contests in Higher Mathematics: Miklos Schweitzer Competitions, 1962-1991
http://nitroflare.com/view/C243F835BFA341F/Contests_in_Higher_Mathematics.djvu
Gabor J Szekely, "Contests in Higher Mathematics: Miklos Schweitzer Competitions, 1962-1991"
1995 | pages: 582 | ISBN: 0387945881 | DJVU | 3,8 mb
One of the most effective ways to stimulate students to enjoy intellectual efforts is the scientific competition. In 1894 the Hungarian Mathematical and Physical Society introduced a mathematical competition for high school students. The success of high school competitions led the Mathematical Society to found a college level contest, named after Miklós Schweitzer. The problems of the Schweitzer Contests are proposed and selected by the most prominent Hungarian mathematicians. This book collects the problems posed in the contests between 1962 and 1991 which range from algebra, combinatorics, theory of functions, geometry, measure theory, number theory, operator theory, probability theory, topology, to set theory. The second part contains the solutions. The Schweitzer competition is one of the most unique in the world. The experience shows that this competition helps to identify research talents. This collection of problems and solutions in several fields in mathematics can serve as a guide for many undergraduates and young mathematicians. The large variety of research level problems might be of interest for more mature mathematicians and historians of mathematics as well.
34 <--> High School Geometry Unlocked
http://nitroflare.com/view/A9075EB07FC6892/1101882212.epub
Princeton Review, "High School Geometry Unlocked"
English | ISBN: 1101882212 | 2016 | EPUB | 400 pages | 39,3 MB
UNLOCK THE SECRETS OF GEOMETRY with THE PRINCETON REVIEW.
Geometry can be a daunting subject. That’s why our new High School Unlocked series focuses on giving you a wide range of key techniques to help you tackle subjects like Geometry. If one method doesn't "click" for you, you can use an alternative approach to understand the concept or problem, instead of painfully trying the same thing over and over without success. Trust us—unlocking geometric secrets doesn't have to hurt!
With this book, you’ll discover the link between abstract concepts and their real-world applications and build confidence as your skills improve. Along the way, you’ll get plenty of practice, from fully guided examples to independent end-of-chapter drills and test-like samples.
Everything You Need to Know About Geometry.
• Complex concepts explained in clear, straightforward ways
• Walk-throughs of sample problems for all topics
• Clear goals and self-assessments to help you pinpoint areas for further review
• Step-by-step examples of different ways to approach problems
Practice Your Way to Excellence.
• Drills and practice questions in every chapter
• Complete answer explanations to boost understanding
• ACT- and SAT-like questions for hands-on experience with how Geometry may appear on major exams
High School Geometry Unlocked covers:
• translation, reflection, and rotation
• congruence and theorems
• the relationship between 2-D and 3-D figures
• trigonometry
• circles, angles, and arcs
• probability
• the algebra-geometry connection
… and more!
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35 <--> High School Algebra II Unlocked
http://nitroflare.com/view/5B29002B3BF7843/1101920076.epub
Princeton Review, "High School Algebra II Unlocked"
English | ISBN: 1101920076 | 2016 | EPUB | 384 pages | 33 MB
UNLOCK THE SECRETS OF ALGEBRA II with THE PRINCETON REVIEW.
Algebra can be a daunting subject. That’s why our new High School Unlocked series focuses on giving you a wide range of key techniques to help you tackle subjects like Algebra II. If one method doesn't "click" for you, you can use an alternative approach to understand the concept or problem, instead of painfully trying the same thing over and over without success. Trust us—unlocking the secrets of algebra doesn't have to hurt!
With this book, you’ll discover the link between abstract concepts and their real-world applications and build confidence as your skills improve. Along the way, you’ll get plenty of practice, from fully guided examples to independent end-of-chapter drills and test-like samples.
Everything You Need to Know About Algebra II.
• Complex concepts explained in clear, straightforward ways
• Walk-throughs of sample problems for all topics
• Clear goals and self-assessments to help you pinpoint areas for further review
• Step-by-step examples of different ways to approach problems
Practice Your Way to Excellence.
• Drills and practice questions in every chapter
• Complete answer explanations to boost understanding
• ACT- and SAT-like questions for hands-on experience with how Algebra II may appear on major exams
High School Algebra II Unlocked covers:
• complex numbers and polynomials
• graphing and solving systems of equations
• radical and rational expressions and inequalities
• trigonometric equations
• logarithmic functions and operations
• statistical modeling
… and more!
>>Come Visit My Blog<<
36 <--> High School Algebra I Unlocked
http://nitroflare.com/view/D20297ED2F20C21/1101882190.epub
Princeton Review, "High School Algebra I Unlocked"
English | ISBN: 1101882190 | 2016 | EPUB | 400 pages | 27 MB
UNLOCK THE SECRETS OF ALGEBRA I with THE PRINCETON REVIEW.
Algebra can be a daunting subject. That’s why our new High School Unlocked series focuses on giving you a wide range of key techniques to help you tackle subjects like Algebra I. If one method doesn't "click" for you, you can use an alternative approach to understand the concept or problem, instead of painfully trying the same thing over and over without success. Trust us—unlocking the secrets of Algebra doesn't have to hurt!
With this book, you’ll discover the link between abstract concepts and their real-world applications and build confidence as your skills improve. Along the way, you’ll get plenty of practice, from fully guided examples to independent end-of-chapter drills and test-like samples.
Everything You Need to Know About Algebra I.
• Complex concepts explained in clear, straightforward ways
• Walk-throughs of sample problems for all topics
• Clear goals and self-assessments to help you pinpoint areas for further review
• Step-by-step examples of different ways to approach problems
Practice Your Way to Excellence.
• Drills and practice questions in every chapter
• Complete answer explanations to boost understanding
• ACT- and SAT-like questions for hands-on experience with how Algebra I may appear on major exams
High School Algebra I Unlocked covers:
• exponents and sequences
• polynomial expressions
• quadratic equations and inequalities
• systems of equations
• functions
• units, conversions, and displaying data
… and more!
2016-08-17
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0 <--> Advanced Statistical Methods for the Analysis of Large Data-Sets (Repost)
3 <--> Mathematical Modeling and Computational Intelligence in Engineering Applications
http://avxhome.in/blogs/AlenMiler
http://nitroflare.com/view/773942B1C83FB00/3319388681.epub
Mathematical Modeling and Computational Intelligence in Engineering Applications by Antônio José da Silva Neto
English | 20 Aug. 2016 | ISBN: 3319388681 | 208 Pages | EPUB (True) | 3.01 MB
This book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical, civil, electrical, electronic, geophysical and mechanical engineering, on a multidisciplinary approach. Authors from five countries and 16 different research centers contribute with their expertise in both the fundamentals and real problems applications based upon their strong background on modeling and computational intelligence. The reader will find a wide variety of applications, mathematical and computational tools and original results, all presented with rigorous mathematical procedures.
This work is intended for use in graduate courses of engineering, applied mathematics and applied computation where tools as mathematical and computational modeling, numerical methods and computational intelligence are applied to the solution of real problems.
48 <--> Solve Math Problems With A Computer Using Maple (2016)
http://avxhome.in/blogs/naag
http://nitroflare.com/view/7D649A250FCA186/Solve_Math_Problems_With_A_Computer_Using_Maple.part1.rar
http://nitroflare.com/view/D0A4236866749F4/Solve_Math_Problems_With_A_Computer_Using_Maple.part2.rar
http://nitroflare.com/view/EE14BADD3C0E33F/Solve_Math_Problems_With_A_Computer_Using_Maple.part3.rar
http://nitroflare.com/view/36BC825123C1E6E/Solve_Math_Problems_With_A_Computer_Using_Maple.part4.rar
http://nitroflare.com/view/81DD11FCDB6F55B/Solve_Math_Problems_With_A_Computer_Using_Maple.part5.rar
Solve Math Problems With A Computer Using Maple
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4 Hours | Lec: 26 | 683 MB
Genre: eLearning | Language: English
Get Better Grades! Complete HW and Projects Faster! Use Modern Technology To Solve Advanced Problems!
Tired of doing super long calculations in mathematics and engineering and not even knowing if your final answer is correct? Want to increase your knowledge of mathematics and programming? Want to learn how to solve the majority of undergraduate math problems in a few lines of code?
Then this course is for you!
In this course you will learn to use the software and programming language Maple. No programming experience is required. Maple is super easy to learn!
You will quickly learn the basics and then learn how to solve any math problem from algebra, calculus, linear algebra, differential equations, and more!
51 <--> The USSR Olympiad Problem Book: Selected Problems and Theorems of Elementary Mathematics (repost)
http://nitroflare.com/view/7991D97AD07FE84/0486277097.rar
I. M. Yaglom, D. O. Shklarsky, N. N. Chentzov, "The USSR Olympiad Problem Book: Selected Problems and Theorems of Elementary Mathematics"
ISBN: 0486277097 | 1993 | EPUB, PDF | 480 pages | 27 MB
Over 300 challenging problems in algebra, arithmetic, elementary number theory and trigonometry, selected from the archives of the Mathematical Olympiads held at Moscow University. Most presuppose only high school mathematics but some are of uncommon difficulty and will challenge any mathematician. Complete solutions to all problems. 27 black-and-white illustrations. 1962 edition.
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52 <--> Pearls in Graph Theory: A Comprehensive Introduction (repost)
http://nitroflare.com/view/319A1FF2BD2CE34/0486432327.epub
Nora Hartsfield, Gerhard Ringel, "Pearls in Graph Theory: A Comprehensive Introduction"
ISBN: 0486432327 | 2003 | EPUB | 272 pages | 7 MB
Based on 20 years of teaching by the leading researcher in graph theory, this text offers a solid foundation on the subject. Topics include basic graph theory, colorings of graphs, circuits and cycles, labeling graphs, drawings of graphs, measurements of closeness to planarity, graphs on surfaces, and applications and algorithms. 1994 edition.
2016/08/09
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0 <--> Analysis of Large and Complex Data
1 <--> Understanding Multivariable Calculus: Problems, Solutions, and Tips [repost]
http://avxhome.in/blogs/ParRus
http://nitroflare.com/folder/7860/L36Byb2JsZW1zLXNvbHV0aW9ucy1hbmQtdGlwcw
Understanding Multivariable Calculus: Problems, Solutions, and Tips
36xWEBRip | English | WMV + PDF Guidebook | 640 x 360 | WMV3 ~2000 kbps | 29.970 fps
WMA | 128 kbps | 44.1 KHz | 2 channels | 18:23:41 | 13 GB
Genre: eLearning Video / Calculus, Math
Calculus offers some of the most astounding advances in all of mathematics—reaching far beyond the two-dimensional applications learned in first-year calculus. We do not live on a sheet of paper, and in order to understand and solve rich, real-world problems of more than one variable, we need multivariable calculus, where the full depth and power of calculus is revealed.
Whether calculating the volume of odd-shaped objects, predicting the outcome of a large number of trials in statistics, or even predicting the weather, we depend in myriad ways on calculus in three dimensions. Once we grasp the fundamentals of multivariable calculus, we see how these concepts unfold into new laws, entire new fields of physics, and new ways of approaching once-impossible problems.
With multivariable calculus, we get
partial derivatives, which are the building blocks of partial differential equations;
new tools for optimization, taking into account as many variables as needed;
vector fields that give us a peek into the workings of fluids, from hydraulic pistons to ocean currents and the weather;
line integrals that determine the work done on a path through these vector fields;
new coordinate systems that enable us to solve integrals whose solutions in Cartesian coordinates may be difficult to work with;
force fields, including those of gravitation and electricity; and
mathematical definitions of planes and surfaces in space, from which entire fields of mathematics such as topology and differential geometry arise.
Understanding Multivariable Calculus: Problems, Solutions, and Tips, taught by award-winning Professor Bruce H. Edwards of the University of Florida, brings the concepts of calculus together in a much deeper and more powerful way. Building from an understanding of basic concepts in Calculus I, it is a full-scope course that encompasses all the key topics of multivariable calculus, together with brief reviews of needed concepts as you go along. This course is the next step for students and professionals to expand their knowledge for work or study in mathematics, statistics, science, or engineering and to learn new methods to apply to their field of choice. It’s also an eye-opening intellectual exercise for teachers, retired professionals, and anyone else who wants to understand the amazing applications of 3-D calculus.
Designed for anyone familiar with basic calculus, Understanding Multivariable Calculus follows, but does not essentially require knowledge of, Calculus II. The few topics introduced in Calculus II that do carry over, such as vector calculus, are here briefly reintroduced, but with a new emphasis on three dimensions.
Your main focus throughout, in a series of 36 comprehensive lectures that extend beyond what is typically taught in university classrooms, is on deepening and generalizing fundamental tools of integration and differentiation to functions of more than one variable. Under the expert guidance of Professor Edwards, you’ll embark on an exhilarating journey through the concepts of multivariable calculus, enlivened with real-world examples and beautiful animated graphics that lift calculus out of the textbook and into our three-dimensional world.
Unlock the Full Power of Calculus
Too frequently, students end their education in higher-level math after a year of fundamental calculus–thereby missing out on this capstone course that makes possible consideration of problems that have the dimensions and complexity of real life. With the tools and techniques of multivariable calculus, students will be able to understand and solve complex problems arising in a wide array of fields in an elegant manner.
Use the gradient vector to optimize a function subject to a constraint using Lagrange multipliers.
Determine work done on a path with line integrals, and find the flow through a surface with surface integrals.
See how Isaac Newton used multivariable calculus to prove Johannes Kepler’s laws of orbits.
Explore the properties of fluids and the relationship of vector fields with path integrals using Stokes’s theorem, Green’s theorem, and the Divergence theorem.
Understand why Maxwell was able to discover underlying unities between electricity and magnetism that no one had been able to identify before.
In Understanding Multivariable Calculus, you will begin your journey in familiar territory as you jump into three dimensions with standard Cartesian coordinates. You’ll see the fundamentals you learned in Calculus I extrapolated to three dimensions, as derivatives and the Extreme Value theorem are applied with more variables. Then observe how an extra dimension enables partial derivatives to provide new information, including how they can be combined into a total differential that enables changes in a multivariable function to be approximated with its partial derivatives.
By adding this extra dimension to vectors, you will be given surprising new insight into surfaces and volumes from perspectives you never considered. You’ll view how vectors can be combined with recognizable techniques from geometry and algebra to yield parametric equations that are both powerful and simple in defining lines and planes in space.
Next, you’ll see old integrals in a new light, as two definite integrals with two different variables are computed as an iterated integral. By tweaking this method, you’ll learn to compute double integrals for area, as well as triple integrals for volume—as well as some helpful techniques involving basic algebra and new coordinate systems for setting up your integrals for success.
Finally, witness a truly wonderful thing happen when these new double and triple integrals are combined with what you’ve learned in previous lectures about vectors and derivatives: Entire new fields of physics explode into existence. Watch as line integrals, surface integrals, curl, divergence, and flux are derived and illuminate fluid mechanics. Then you’ll see how the famous theorems of Green and Stokes and the Divergence theorem unite these integrals, and be granted insight into how Maxwell derived his equations that gave birth to the unified study of electromagnetism.
A New Look at Old Problems
How do you integrate over a region of the xy plane that can’t be defined by just one standard y = f(x) function? Multivariable calculus is full of hidden surprises, containing the answers to many such questions. In Understanding Multivariable Calculus, Professor Edwards unveils powerful new tools in every lecture to solve old problems in a few steps, turn impossible integrals into simple ones, and yield exact answers where even calculators can only approximate.
And with techniques using new coordinate systems, new integrals, and new theorems uniting them all, you will be able to integrate volumes and surface areas directly with double and triple integrals;
define easily differentiable parametric equations for a function using vectors; and
utilize polar, cylindrical, and spherical coordinates to evaluate double and triple integrals whose solutions are difficult in standard Cartesian coordinates.
These tools are essential in fields such as statistics, engineering, and physics where equations arise that cannot be worked with easily using the conventional Cartesian coordinate system.
Professor Edwards leads you through these new techniques with a clarity and enthusiasm for the subject that make even the most challenging material accessible and enjoyable. From the very first lecture, you’ll see why Professor Edwards has won teaching awards at the University of Florida.
Discover at Your Own Pace
With 36 lectures featuring graphics animated with state-of-the-art software that brings three-dimensional surfaces and volumes to life, this course will provide you with a view of multivariable calculus beyond what’s available in textbooks and lecture halls. Using the accompanying illustrated workbook, you are free to move at your own pace to grasp the powerful tools of multivariable calculus to your own satisfaction.
This course offers a uniquely self-contained approach, appealing to a wide array of backgrounds and experience levels. Understanding Multivariable Calculus offers students and professionals in virtually every quantitative field as well as anyone who is intrigued about math a chance to better understand the full potential of one of the crowning mathematical achievements of humankind: calculus.
Lectures:
01 A Visual Introduction to 3-D Calculus
02 Functions of Several Variables
03 Limits, Continuity, and Partial Derivatives
04 Partial Derivatives—One Variable at a Time
05 Total Differentials and Chain Rules
06 Extrema of Functions of Two Variables
07 Applications to Optimization Problems
08 Linear Models and Least Squares Regression
09 Vectors and the Dot Product in Space
10 The Cross Product of Two Vectors in Space
11 Lines and Planes in Space
12 Curved Surfaces in Space
13 Vector-Valued Functions in Space
14 Kepler’s Laws—The Calculus of Orbits
15 Directional Derivatives and Gradients
16 Tangent Planes and Normal Vectors to a Surface
17 Lagrange Multipliers—Constrained Optimization
18 Applications of Lagrange Multipliers
19 Iterated integrals and Area in the Plane
20 Double Integrals and Volume
21 Double Integrals in Polar Coordinates
22 Centers of Mass for Variable Density
23 Surface Area of a Solid
24 Triple Integrals and Applications
25 Triple Integrals in Cylindrical Coordinates
26 Triple Integrals in Spherical Coordinates
27 Vector Fields—Velocity, Gravity, Electricity
28 Curl, Divergence, Line Integrals
29 More Line Integrals and Work by a Force Field
30 Fundamental Theorem of Line Integrals
31 Green’s Theorem—Boundaries and Regions
32 Applications of Green’s Theorem
33 Parametric Surfaces in Space
34 Surface Integrals and Flux Integrals
35 Divergence Theorem—Boundaries and Solids
36 Stokes’s Theorem and Maxwell's Equations
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13 <--> Transformational Plane Geometry (Repost)
http://nitroflare.com/view/B5BC7A5C44E7062/1482234718_Transformationalsp1.pdf
Transformational Plane Geometry By Ronald N. Umble
2014 | 234 Pages | ISBN: 1482234718 | PDF | 3 MB
Designed for a one-semester course at the junior undergraduate level, Transformational Plane Geometry takes a hands-on, interactive approach to teaching plane geometry. The book is self-contained, defining basic concepts from linear and abstract algebra gradually as needed. The text adheres to the National Council of Teachers of Mathematics Principles and Standards for School Mathematics and the Common Core State Standards Initiative Standards for Mathematical Practice. Future teachers will acquire the skills needed to effectively apply these standards in their classrooms. Following Felix Klein’s Erlangen Program, the book provides students in pure mathematics and students in teacher training programs with a concrete visual alternative to Euclid’s purely axiomatic approach to plane geometry. After reviewing the essential principles of classical Euclidean geometry, the book covers general transformations of the plane with particular attention to translations, rotations, reflections, stretches, and their compositions. The authors apply these transformations to study congruence, similarity, and symmetry of plane figures and to classify the isometries and similarities of the plane.
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21 <--> Common Errors in Statistics (and How to Avoid Them), 4th Edition
http://nitroflare.com/view/4843D406DBE2926/1118294394.epub
Common Errors in Statistics (and How to Avoid Them) by Phillip I. Good, James W. Hardin
2012 | ISBN: 1118294394 | English | 352 pages | EPUB | 4 MB
Praise for Common Errors in Statistics (and How to Avoid Them)
"A very engaging and valuable book for all who use statistics in any setting."
—CHOICE
"Addresses popular mistakes often made in data collection and provides an indispensable guide to accurate statistical analysis and reporting. The authors' emphasis on careful practice, combined with a focus on the development of solutions, reveals the true value of statistics when applied correctly in any area of research."
—MAA Reviews
Common Errors in Statistics (and How to Avoid Them), Fourth Edition provides a mathematically rigorous, yet readily accessible foundation in statistics for experienced readers as well as students learning to design and complete experiments, surveys, and clinical trials.
Providing a consistent level of coherency throughout, the highly readable Fourth Edition focuses on debunking popular myths, analyzing common mistakes, and instructing readers on how to choose the appropriate statistical technique to address their specific task. The authors begin with an introduction to the main sources of error and provide techniques for avoiding them. Subsequent chapters outline key methods and practices for accurate analysis, reporting, and model building. The Fourth Edition features newly added topics, including:
Baseline data
Detecting fraud
Linear regression versus linear behavior
Case control studies
Minimum reporting requirements
Non-random samples
The book concludes with a glossary that outlines key terms, and an extensive bibliography with several hundred citations directing readers to resources for further study.
Presented in an easy-to-follow style, Common Errors in Statistics, Fourth Edition is an excellent book for students and professionals in industry, government, medicine, and the social sciences.
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2016-0803
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0 <--> SPSS Survival Manual
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19 <--> Trends in Software Testing
https://www.nitroflare.com/payment?webmaster=10405
http://www.avaxhm.com/blogs/Underaglassmoon
http://nitroflare.com/view/86DB7F75032DCA8/10.1007%40978-981-10-1415-4.pdf
Trends in Software Testing
Springer | Engineering | August 27, 2016 | ISBN-10: 9811014140 | 176 pages | pdf | 5.11 mb
Editors: Mohanty, Hrushikesha, Mohanty, J. R., Balakrishnan, Arunkumar (Eds.)
Includes a special chapter on Flash and how to protect Flash sites from hackersBrings together views from both academia and the industryIncludes examples and case studies to enhance understanding and reinforce usability
This book is focused on the advancements in the field of software testing and the innovative practices that the industry is adopting. Considering the widely varied nature of software testing, the book addresses contemporary aspects that are important for both academia and industry. There are dedicated chapters on seamless high-efficiency frameworks, automation on regression testing, software by search, and system evolution management. There are a host of mathematical models that are promising for software quality improvement by model-based testing. There are three chapters addressing this concern. Students and researchers in particular will find these chapters useful for their mathematical strength and rigor. Other topics covered include uncertainty in testing, software security testing, testing as a service, test technical debt (or test debt), disruption caused by digital advancement (social media, cloud computing, mobile application and data analytics), and challenges and benefits of outsourcing.
The book will be of interest to students, researchers as well as professionals in the software industry.
Number of Illustrations and Tables
5 b/w illustrations, 60 illustrations in colour
Topics
Computational Intelligence
Software Engineering
Software Management
20 <--> Prior Processes and Their Applications: Nonparametric Bayesian Estimation, Second Edition
https://www.nitroflare.com/payment?webmaster=10405
http://www.avaxhm.com/blogs/Underaglassmoon
http://nitroflare.com/view/470FD06FD5F5A37/10.1007%40978-3-319-32789-1.pdf
Prior Processes and Their Applications: Nonparametric Bayesian Estimation, Second Edition
Springer | Statistics | August 28, 2016 | ISBN-10: 3319327887 | 327 pages | pdf | 3.14 mb
Authors: Phadia, Eswar G.
Presents a systematic and comprehensive treatment of various prior processes
Provides valuable resource for nonparametric Bayesian analysis of big data
Includes a section on machine learning
Shows practical examples
This book presents a systematic and comprehensive treatment of various prior processes that have been developed over the past four decades for dealing with Bayesian approach to solving selected nonparametric inference problems. This revised edition has been substantially expanded to reflect the current interest in this area. After an overview of different prior processes, it examines the now pre-eminent Dirichlet process and its variants including hierarchical processes, then addresses new processes such as dependent Dirichlet, local Dirichlet, time-varying and spatial processes, all of which exploit the countable mixture representation of the Dirichlet process. It subsequently discusses various neutral to right type processes, including gamma and extended gamma, beta and beta-Stacy processes, and then describes the Chinese Restaurant, Indian Buffet and infinite gamma-Poisson processes, which prove to be very useful in areas such as machine learning, information retrieval and featural modeling. Tailfree and Polya tree and their extensions form a separate chapter, while the last two chapters present the Bayesian solutions to certain estimation problems pertaining to the distribution function and its functional based on complete data as well as right censored data. Because of the conjugacy property of some of these processes, most solutions are presented in closed form.
However, the current interest in modeling and treating large-scale and complex data also poses a problem – the posterior distribution, which is essential to Bayesian analysis, is invariably not in a closed form, making it necessary to resort to simulation. Accordingly, the book also introduces several computational procedures, such as the Gibbs sampler, Blocked Gibbs sampler and slice sampling, highlighting essential steps of algorithms while discussing specific models. In addition, it features crucial steps of proofs and derivations, explains the relationships between different processes and provides further clarifications to promote a deeper understanding. Lastly, it includes a comprehensive list of references, equipping readers to explore further on their own.
Number of Illustrations and Tables
1 illustrations in colour
Topics
Statistical Theory and Methods
Statistics for Life Sciences, Medicine, Health Sciences
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
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33 <--> "Face Recognition: Semisupervised Classification, Subspace Projection and Evaluation Methods" ed. by S. Ramakrishnan
"Face Recognition: Semisupervised Classification, Subspace Projection and Evaluation Methods" ed. by S. Ramakrishnan
ITexLi | 2016 | ISBN: 9535124218 9535124226 9789535124221 9789535124214 | 100 pages | PDF | 11 MB
This book is composed of chapters covering introduction, overview, semi-supervised classification, subspace projection, and evaluation techniques.
Pattern recognition has gained significant attention due to the rapid explosion of internet- and mobile-based applications. Among the various pattern recognition applications, face recognition is always being the center of attraction. With so much of unlabeled face images being captured and made available on internet (particularly on social media), conventional supervised means of classifying face images become challenging. This clearly warrants for semi-supervised classification and subspace projection. Another important concern in face recognition system is the proper and stringent evaluation of its capability.
This book is edited keeping all these factors in mind.
Contents
Preface
1 Introductory Chapter: Face Recognition - Overview, Dimensionality Reduction, and Evaluation Methods
2 Face Recognition: Issues, Methods and Alternative Applications
3 A Generally Semisupervised Dimensionality Reduction Method with Local and Global Regression Regularizations for Recognition
4 Advances of Robust Subspace Face Recognition
5 Face Recognition: Demystification of Multifarious Aspect in Evaluation Metrics
1st true PDF with TOC BookMarkLinks
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34 <--> "Empirical Modeling and Its Applications" ed. by Mamun Habib
"Empirical Modeling and Its Applications" ed. by Mamun Habib
ITexLi | 2016 | ISBN: 9535124943 9535124935 9789535124948 9789535124931 | 146 pages | PDF | 17 MB
This volume is dedicated to the type of modeling that is particularly helpful when parametric models, due to various reasons, cannot be constructed. Based on different methodologies and approaches, empirical modeling allows the analyst to obtain an initial understanding of the relationships that exist among the different variables that belong to a particular system or process.
Empirical modeling has been a useful approach for the analysis of different problems across numerous areas/fields of knowledge.
In some cases, the results from empirical models can be used in order to make decisions about those variables, with the intent of resolving a given problem in the real-life applications.
Contents
Preface
1 Empirical Modeling of the Total Electron Content of the Ionosphere
2 The Empirical Models to Correct Water Column Effects for Optically Shallow Water
3 Least Squares Method and Empirical Modeling: A Case Study in a Mexican Manufacturing Firm
4 Applied Hydrological Modeling with the Use of Geoinformatics: Theory and Practice
5 Critical Loss Analyses in Korean Liquor Mergers
6 A Comparison between the Presence and Absence of Regulation in the Spanish Electricity Market
1st true PDF with TOC BookMarkLinks
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35 <--> "Applied Linear Algebra in Action" ed. by Vasilios N. Katsikis
"Applied Linear Algebra in Action" ed. by Vasilios N. Katsikis
ITexLi | 2016 | ISBN: 9535124196 953512420X 9789535124191 953512420X 9789535124207 | 172 pages | PDF | 12 MB
This text book contains a collection of six high-quality articles. In particular, this book is devoted to Linear Mathematics by presenting problems in Applied Linear Algebra of general or special interest.
Contents
Preface
1 Matrices, Moments and Quadrature: Applications to Time- Dependent Partial Differential Equations
2 Structured Approaches to General Inverse Eigenvalue Problems
3 Eigenvalue Problems
4 Nonnegative Inverse Elementary Divisors Problem
5 Some Recent Advances in Nonlinear Inverse Scattering in 2D: Theory and Numerics
6 Likelihood Ratio Tests in Multivariate Linear Model
1st true PDF with TOC BookMarkLinks
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36 <--> Linear Algebra, Geometry and Transformation (Repost)
http://nitroflare.com/view/97556E4B37C8831/1482299283_Linearsp1.pdf
https://filejoker.net/1y2na6yqvjzd
Linear Algebra, Geometry and Transformation By Bruce Solomon
2015 | 474 Pages | ISBN: 1482299283 | PDF | 6 MB
The Essentials of a First Linear Algebra Course and More Linear Algebra, Geometry and Transformation provides students with a solid geometric grasp of linear transformations. It stresses the linear case of the inverse function and rank theorems and gives a careful geometric treatment of the spectral theorem. An Engaging Treatment of the Interplay among Algebra, Geometry, and Mappings The text starts with basic questions about images and pre-images of mappings, injectivity, surjectivity, and distortion. In the process of answering these questions in the linear setting, the book covers all the standard topics for a first course on linear algebra, including linear systems, vector geometry, matrix algebra, subspaces, independence, dimension, orthogonality, eigenvectors, and diagonalization. A Smooth Transition to the Conceptual Realm of Higher Mathematics This book guides students on a journey from computational mathematics to conceptual reasoning. It takes them from simple "identity verification" proofs to constructive and contrapositive arguments. It will prepare them for future studies in algebra, multivariable calculus, and the fields that use them.
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37 <--> Robust Cluster Analysis and Variable Selection (Repost)
http://nitroflare.com/view/3B4DC56FEB72DD8/1439857962_Robustsp1.pdf
https://filejoker.net/tfpy95cn4psw
Robust Cluster Analysis and Variable Selection By Gunter Ritter
2014 | 392 Pages | ISBN: 1439857962 | PDF | 3 MB
Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there are relatively few that are well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory and applications of probabilistic clustering and variable selection, synthesizing the key research results of the last 50 years. The author focuses on the robust clustering methods he found to be the most useful on simulated data and real-time applications. The book provides clear guidance for the varying needs of both applications, describing scenarios in which accuracy and speed are the primary goals. Robust Cluster Analysis and Variable Selection includes all of the important theoretical details, and covers the key probabilistic models, robustness issues, optimization algorithms, validation techniques, and variable selection methods. The book illustrates the different methods with simulated data and applies them to real-world data sets that can be easily downloaded from the web. This provides you with guidance in how to use clustering methods as well as applicable procedures and algorithms without having to understand their probabilistic fundamentals.
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42 <--> Parallel Processing and Applied Mathematics, Part II
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Roman Wyrzykowski, "Parallel Processing and Applied Mathematics, Part II"
English | ISBN: 331932151X | 2016 | 648 pages | PDF | 32 MB
This two-volume-set (LNCS 9573 and 9574) constitutes the refereed proceedings of the 11th International Conference of Parallel Processing and Applied Mathematics, PPAM 2015, held in Krakow, Poland, in September 2015. The 111 revised full papers presented in both volumes were carefully reviewed and selected from 196 submissions.
The focus of PPAM 2015 was on models, algorithms, and software tools
which facilitate efficient and convenient utilization of modern parallel and distributed computing architectures, as well as on large-scale applications, including big data problems.
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43 <--> Parallel Processing and Applied Mathematics, Part I
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Roman Wyrzykowski, "Parallel Processing and Applied Mathematics, Part I "
English | ISBN: 331932148X | 2016 | 648 pages | PDF | 29 MB
This two-volume set LNCS 9573 and LNCS 9574 constitutes the refereed proceedings of the 11th International Conference of Parallel Processing and Applied Mathematics, PPAM 2015, held in Krakow, Poland, in September 2015.
The 111 revised full papers presented in both volumes were carefully reviewed and selected from 196 submissions. The focus of PPAM 2015 was on models, algorithms, and software tools which facilitate efficient and convenient utilization of modern parallel and distributed computing architectures, as well as on large-scale applications, including big data problems.
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10 <--> Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing
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Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing
CRC Press | Computer Science | May 27 2016 | ISBN-10: 1498724620 | 511 pages | pdf | 17.08 mb
by Thierry Bouwmans (Editor), Necdet Serhat Aybat (Editor), El-hadi Zahzah (Editor)
Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing shows you how robust subspace learning and tracking by decomposition into low-rank and sparse matrices provide a suitable framework for computer vision applications. Incorporating both existing and new ideas, the book conveniently gives you one-stop access to a number of different decompositions, algorithms, implementations, and benchmarking techniques.
Divided into five parts, the book begins with an overall introduction to robust principal component analysis (PCA) via decomposition into low-rank and sparse matrices. The second part addresses robust matrix factorization/completion problems while the third part focuses on robust online subspace estimation, learning, and tracking. Covering applications in image and video processing, the fourth part discusses image analysis, image denoising, motion saliency detection, video coding, key frame extraction, and hyperspectral video processing. The final part presents resources and applications in background/foreground separation for video surveillance.
With contributions from leading teams around the world, this handbook provides a complete overview of the concepts, theories, algorithms, and applications related to robust low-rank and sparse matrix decompositions. It is designed for researchers, developers, and graduate students in computer vision, image and video processing, real-time architecture, machine learning, and data mining.
About the Author
Thierry Bouwmans is an associate professor at the University of La Rochelle. He is the author of more than 30 papers on background modeling and foreground detection and is the creator and administrator of the Background Subtraction website and DLAM website. He has also served as a reviewer for numerous international conferences and journals. His research interests focus on the detection of moving objects in challenging environments.
Necdet Serhat Aybat is an assistant professor in the Department of Industrial and Manufacturing Engineering at Pennsylvania State University. He received his PhD in operations research from Columbia University. His research focuses on developing fast first-order algorithms for large-scale convex optimization problems from diverse application areas, such as compressed sensing, matrix completion, convex regression, and distributed optimization.
El-hadi Zahzah is an associate professor at the University of La Rochelle. He is the author of more than 60 papers on fuzzy logic, expert systems, image analysis, spatio-temporal modeling, and background modeling and foreground detection. His research interests focus on the spatio-temporal relations and detection of moving objects in challenging environments.
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11 <--> Parallel Processing and Applied Mathematics
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Parallel Processing and Applied Mathematics (Lecture Notes in Computer Science) by Roman Wyrzykowski
English | 8 May 2014 | ISBN: 3642551947 | 785 Pages | PDF | 24 MB
The papers cover important fields of parallel/distributed/cloud computing and applied mathematics, such as numerical algorithms and parallel scientific computing; parallel non-numerical algorithms; tools and environments for parallel/distributed/cloud computing; applications of parallel computing; applied mathematics, evolutionary computing and metaheuristics.
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26 <--> Discorsi e dimostrazioni matematiche intorno a due nuove scienze - Galileo Galilei
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Discorsi e dimostrazioni matematiche intorno a due nuove scienze attinenti alla meccanica e ai movimenti locali - Galileo Galilei
Italian | 2011 | 664 Pages | ISBN: 8895351045 | EPUB | 647.51 KB
È l'opera più prestigiosa di Galileo, che espone le sue scoperte originali. Fu scritta nella maturità, dopo il processo del 1633. Le due nuove scienze alle quali allude il titolo sono la dinamica dei movimenti e la scienza delle costruzioni.
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27 <--> The Troika of Adult Learners, Lifelong Learning, and Mathematics: Learning from Research, Current Paradoxes, Tensions and Promo
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The Troika of Adult Learners, Lifelong Learning, and Mathematics: Learning from Research, Current Paradoxes, Tensions and Promotional Strategies By Katherine Safford-Ramus, Pradeep Kumar Misra
2016 | 52 Pages | ISBN: 3319328077 | PDF | 1 MB
This book presents a synopsis of six emerging themes in adult mathematics/numeracy and a critical discussion of recent developments in terms of policies, provisions, and the emerging challenges, paradoxes and tensions. It also offers an extensive review of the literature adult mathematics education. Why do adults want to learn mathematics? Did they enjoy mathematics at school so much that they want to continue? NO! Most of these adults have to learn mathematics because it is part of a formal qualification they need, because their job demands the ability to apply mathematics, or because they need basic numeracy in their daily lives. Lastly, the authors discuss five potential strategies to promote lifelong learning of mathematics among adult learners.
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39 <--> A Companion to Interdisciplinary Stem Project-Based Learning, Second Edition
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A Companion to Interdisciplinary Stem Project-Based Learning, Second Edition
Sense Publishers | Mathematics | Feb. 19 2016 | ISBN-10: 946300484X | 224 pages | pdf | 20.03 mb
by Mary Margaret Capraro (Editor), Jennifer G Whitfield (Editor), Matthew J Etchells (Editor)
This text contains 25 Project-Based Learning (PBL) lessons written by a combination of undergraduate preservice teachers, inservice teachers, and graduate students. Everyone who wrote a chapter strives to improve STEM education to help others implement standards-based STEM instruction that takes learning in isolation to greater accountability through integrated and meaningful tasks that answer the question every teacher dreads: When am I going to use this? The PBLs were written to implement in middle and high-school classrooms. All of them are interdisciplinary in nature. We have divided them into six themes: construction and design, water, environment, mixtures, technology, nutrition and genetics. Each lesson contains a "schedule at a glance" and the "well-defined outcome" so you can quickly see how a particular PBL fits into your curriculum. Objectives are listed along with STEM connections written as objectives. We have included all materials needed and then each day of activities including an imbedded engagement, exploration, explanation, evaluation (including rubrics), and extension. We have tried to include everything necessary for successful implementation. This practical book is the perfect companion to the handbook for learning about implementing PBLs: Project-Based Learning: An Integrated Science, Technology, Engineering, and Mathematics (STEM) Approach - second edition
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49 <--> Proper Generalized Decompositions: An Introduction to Computer Implementation with Matlab
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Proper Generalized Decompositions: An Introduction to Computer Implementation with Matlab By Elías Cueto, David González, Icíar Alfaro
2016 | 108 Pages | ISBN: 331929993X | PDF | 3 MB
This book is intended to help researchers overcome the entrance barrier to Proper Generalized Decomposition (PGD), by providing a valuable tool to begin the programming task. Detailed Matlab Codes are included for every chapter in the book, in which the theory previously described is translated into practice. Examples include parametric problems, non-linear model order reduction and real-time simulation, among others. Proper Generalized Decomposition (PGD) is a method for numerical simulation in many fields of applied science and engineering. As a generalization of Proper Orthogonal Decomposition or Principal Component Analysis to an arbitrary number of dimensions, PGD is able to provide the analyst with very accurate solutions for problems defined in high dimensional spaces, parametric problems and even real-time simulation.
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2016-0721
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0 <--> Ink Sandwiches, Electric Worms, and 37 Other Experiments for Saturday Science
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6 <--> Linear Functional Analysis for Scientists and Engineers
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Linear Functional Analysis for Scientists and Engineers by Balmohan V. Limaye
English | 7 July 2016 | ISBN: 9811009708 | 270 Pages | PDF (True) | 3.07 MB
This book provides a concise and meticulous introduction to functional analysis. Since the topic draws heavily on the interplay between the algebraic structure of a linear space and the distance structure of a metric space, functional analysis is increasingly gaining the attention of not only mathematicians but also scientists and engineers. The purpose of the text is to present the basic aspects of functional analysis to this varied audience, keeping in mind the considerations of applicability. A novelty of this book is the inclusion of a result by Zabreiko, which states that every countably subadditive seminorm on a Banach space is continuous. Several major theorems in functional analysis are easy consequences of this result.
The entire book can be used as a textbook for an introductory course in functional analysis without having to make any specific selection from the topics presented here. Basic notions in the setting of a metric space are defined in terms of sequences. These include total boundedness, compactness, continuity and uniform continuity. Offering concise and to-the-point treatment of each topic in the framework of a normed space and of an inner product space, the book represents a valuable resource for advanced undergraduate students in mathematics, and will also appeal to graduate students and faculty in the natural sciences and engineering. The book is accessible to anyone who is familiar with linear algebra and real analysis.
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10 <--> Stochastic Analysis for Finance with Simulations
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Stochastic Analysis for Finance with Simulations
Springer | Mathematics | August 14, 2016 | ISBN-10: 3319255878 | 657 pages | pdf | 11.96 mb
Authors: Choe, Geon Ho
Presents the mathematical methods required for pricing financial derivatives
Encourages hands-on experience and builds intuition by explaining theoretical concepts with computer simulations
Covers mathematical prerequisites, including measure theory, ordinary differential equations, and partial differential equations
This book is an introduction to stochastic analysis and quantitative finance; it includes both theoretical and computational methods. Topics covered are stochastic calculus, option pricing, optimal portfolio investment, and interest rate models. Also included are simulations of stochastic phenomena, numerical solutions of the Black–Scholes–Merton equation, Monte Carlo methods, and time series. Basic measure theory is used as a tool to describe probabilistic phenomena.
The level of familiarity with computer programming is kept to a minimum. To make the book accessible to a wider audience, some background mathematical facts are included in the first part of the book and also in the appendices. This work attempts to bridge the gap between mathematics and finance by using diagrams, graphs and simulations in addition to rigorous theoretical exposition. Simulations are not only used as the computational method in quantitative finance, but they can also facilitate an intuitive and deeper understanding of theoretical concepts.
Stochastic Analysis for Finance with Simulations is designed for readers who want to have a deeper understanding of the delicate theory of quantitative finance by doing computer simulations in addition to theoretical study. It will particularly appeal to advanced undergraduate and graduate students in mathematics and business, but not excluding practitioners in finance industry.
Number of Illustrations and Tables
82 b/w illustrations, 107 illustrations in colour
Topics
Mathematics (general)
Quantitative Finance
Recommended Titles :
Approximation Methods in Probability Theory (2016)
Mathematical Analysis I, Second Edition (2015)
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11 <--> Scientific Computing in Electrical Engineering
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Scientific Computing in Electrical Engineering: SCEE 2014, Wuppertal, Germany, July 2014
Springer | Mathematics | Jun 10 2016 | ISBN-10: 3319303988 | 256 pages | pdf | 8.44 mb
Editors: Bartel, A., Clemens, M., Günther, M., ter Maten, E.J.W. (Eds.)
Covers topics in scientific computing in electrical engineering from both academia and industry, as well as mathematics and electrical engineering perspective
Shows state of the art in SCEE
Includes advanced topics of MOR and UQ in methodology
This book is a collection of selected papers presented at the 10th International Conference on Scientific Computing in Electrical Engineering (SCEE), held in Wuppertal, Germany in 2014. The book is divided into five parts, reflecting the main directions of SCEE 2014: 1. Device Modeling, Electric Circuits and Simulation, 2. Computational Electromagnetics, 3. Coupled Problems, 4. Model Order Reduction, and 5. Uncertainty Quantification. Each part starts with a general introduction followed by the actual papers.
The aim of the SCEE 2014 conference was to bring together scientists from academia and industry, mathematicians, electrical engineers, computer scientists, and physicists, with the goal of fostering intensive discussions on industrially relevant mathematical problems, with an emphasis on the modeling and numerical simulation of electronic circuits and devices, electromagnetic fields, and coupled problems. The methodological focus was on model order reduction and uncertainty quantification.
Number of Illustrations and Tables
58 b/w illustrations, 67 illustrations in colour
Topics
Mathematical Modeling and Industrial Mathematics
Computational Science and Engineering
Appl. Mathematics / Computational Methods of Engineering
Computer-Aided Engineering (CAD, CAE) and Design
Simulation and Modeling
Numerical and Computational Physics
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13 <--> Divergent Series, Summability and Resurgence III
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Divergent Series, Summability and Resurgence III: Resurgent Methods and the First Painlevé Equation
Springer | Analysis | Jun 29 2016 | ISBN-10: 3319289993 | 230 pages | pdf | 2.39 mb
Authors: Delabaere, Eric
Features a thorough resurgent analysis of the celebrated non-linear differential equation Painlevé I
Includes new specialized results in the theory of resurgence
For the first time, higher order Stokes phenomena of Painlevé I are made explicit by means of the so-called bridge equation
The aim of this volume is two-fold. First, to show how the resurgent methods introduced in volume 1 can be applied efficiently in a non-linear setting; to this end further properties of the resurgence theory must be developed. Second, to analyze the fundamental example of the First Painlevé equation. The resurgent analysis of singularities is pushed all the way up to the so-called “bridge equation”, which concentrates all information about the non-linear Stokes phenomenon at infinity of the First Painlevé equation.
The third in a series of three, entitled Divergent Series, Summability and Resurgence, this volume is aimed at graduate students, mathematicians and theoretical physicists who are interested in divergent power series and related problems, such as the Stokes phenomenon. The prerequisites are a working knowledge of complex analysis at the first-year graduate level and of the theory of resurgence, as presented in volume 1.
Number of Illustrations and Tables
21 b/w illustrations, 14 illustrations in colour
Topics
Sequences, Series, Summability
Ordinary Differential Equations
Functions of a Complex Variable
Special Functions
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14 <--> Divergent Series, Summability and Resurgence II
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Divergent Series, Summability and Resurgence II: Simple and Multiple Summability
Springer | Analysis | Jun 29 2016 | ISBN-10: 3319290746 | 272 pages | pdf | 3.45 mb
Authors: Loday-Richaud, Michèle
Provides a thorough discussion and comparison of the theories of k-summability and multisummability
Can be treated both as a reference book and as a tutorial on the theories of summability and their links to the formal and local analytic aspects of linear ordinary differential equations
Includes a discussion of the linear Stokes phenomenon
The theories are illustrated with many examples and over 70 color figures
Addressing the question how to “sum” a power series in one variable when it diverges, that is, how to attach to it analytic functions, the volume gives answers by presenting and comparing the various theories of k-summability and multisummability. These theories apply in particular to all solutions of ordinary differential equations.
The volume includes applications, examples and revisits, from a cohomological point of view, the group of tangent-to-identity germs of diffeomorphisms of C studied in volume 1. With a view to applying the theories to solutions of differential equations, a detailed survey of linear ordinary differential equations is provided, which includes Gevrey asymptotic expansions, Newton polygons, index theorems and Sibuya’s proof of the meromorphic classification theorem that characterizes the Stokes phenomenon for linear differential equations.
This volume is the second in a series of three, entitled Divergent Series, Summability and Resurgence. It is aimed at graduate students and researchers in mathematics and theoretical physics who are interested in divergent series, Although closely related to the other two volumes, it can be read independently.
Number of Illustrations and Tables
64 illustrations in colour
Topics
Sequences, Series, Summability
Ordinary Differential Equations
Difference and Functional Equations
Dynamical Systems and Ergodic Theory