Faster Matrix Algebra for Symmetric Matrices

In this project, a standalone C++ class was built which can work with Symmetric Matrices on top of the Eigen Library. Working only with the upper/lower triangular part of a symmetric matrix reduces the storage space as well as the complexity for different matrix operations considerably. The following operations were implemented-

1. SymMat +&- SymMat
2. SymMat +&- Eigen::Matrix
3. SymMat * SymMat
4. SymMat * Eigen::Matrix

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

1. Install the latest Eigen library (http://eigen.tuxfamily.org/index.php?title=Main_Page). Make sure that the Eigen folder is in your include path (/usr/local/include).

2. Latest g++ compiler.

Running the tests

The Test.cpp file shows a few examples of addition and multiplication cases. Follow the following points to get the Test file up and running-

1. Clone the repository.

git clone https://github.com/adarsh1001/Atlas_Eigen.git

2. Compile the Test.cpp with g++.

g++ Test.cpp -o Test

3. Execute the run file

./Test