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rnd.c
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rnd.c
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/* @(#)rnd.c 2.1.8.2
*
*
* RANDOM.C -- Implements Park & Miller's "Minimum Standard" RNG
*
* (Reference: CACM, Oct 1988, pp 1192-1201)
*
* NextRand: Computes next random integer
* UnifInt: Yields an long uniformly distributed between given bounds
* UnifReal: ields a real uniformly distributed between given bounds
* Exponential: Yields a real exponentially distributed with given mean
*
*/
#include "config.h"
#include <stdio.h>
#include <math.h>
#include "dss.h"
#include "rnd.h"
char *env_config PROTO((char *tag, char *dflt));
void NthElement(long, long *);
void
dss_random(long *tgt, long lower, long upper, long stream)
{
*tgt = UnifInt((long)lower, (long)upper, (long)stream);
Seed[stream].usage += 1;
return;
}
void
row_start(int t) \
{
int i;
for (i=0; i <= MAX_STREAM; i++)
Seed[i].usage = 0 ;
return;
}
void
row_stop(int t) \
{
int i;
/* need to allow for handling the master and detail together */
if (t == ORDER_LINE)
t = ORDER;
if (t == PART_PSUPP)
t = PART;
for (i=0; i <= MAX_STREAM; i++)
if ((Seed[i].table == t) || (Seed[i].table == tdefs[t].child))
{
if (set_seeds && (Seed[i].usage > Seed[i].boundary))
{
fprintf(stderr, "\nSEED CHANGE: seed[%d].usage = %d\n",
i, Seed[i].usage);
Seed[i].boundary = Seed[i].usage;
}
else
{
NthElement((Seed[i].boundary - Seed[i].usage), &Seed[i].value);
}
}
return;
}
void
dump_seeds(int tbl)
{
int i;
for (i=0; i <= MAX_STREAM; i++)
if (Seed[i].table == tbl)
printf("%d:\t%ld\n", i, Seed[i].value);
return;
}
/******************************************************************
NextRand: Computes next random integer
*******************************************************************/
/*
* long NextRand( long nSeed )
*/
long
NextRand(long nSeed)
/*
* nSeed is the previous random number; the returned value is the
* next random number. The routine generates all numbers in the
* range 1 .. nM-1.
*/
{
/*
* The routine returns (nSeed * nA) mod nM, where nA (the
* multiplier) is 16807, and nM (the modulus) is
* 2147483647 = 2^31 - 1.
*
* nM is prime and nA is a primitive element of the range 1..nM-1.
* This * means that the map nSeed = (nSeed*nA) mod nM, starting
* from any nSeed in 1..nM-1, runs through all elements of 1..nM-1
* before repeating. It never hits 0 or nM.
*
* To compute (nSeed * nA) mod nM without overflow, use the
* following trick. Write nM as nQ * nA + nR, where nQ = nM / nA
* and nR = nM % nA. (For nM = 2147483647 and nA = 16807,
* get nQ = 127773 and nR = 2836.) Write nSeed as nU * nQ + nV,
* where nU = nSeed / nQ and nV = nSeed % nQ. Then we have:
*
* nM = nA * nQ + nR nQ = nM / nA nR < nA < nQ
*
* nSeed = nU * nQ + nV nU = nSeed / nQ nV < nU
*
* Since nA < nQ, we have nA*nQ < nM < nA*nQ + nA < nA*nQ + nQ,
* i.e., nM/nQ = nA. This gives bounds on nU and nV as well:
* nM > nSeed => nM/nQ * >= nSeed/nQ => nA >= nU ( > nV ).
*
* Using ~ to mean "congruent mod nM" this gives:
*
* nA * nSeed ~ nA * (nU*nQ + nV)
*
* ~ nA*nU*nQ + nA*nV
*
* ~ nU * (-nR) + nA*nV (as nA*nQ ~ -nR)
*
* Both products in the last sum can be computed without overflow
* (i.e., both have absolute value < nM) since nU*nR < nA*nQ < nM,
* and nA*nV < nA*nQ < nM. Since the two products have opposite
* sign, their sum lies between -(nM-1) and +(nM-1). If
* non-negative, it is the answer (i.e., it's congruent to
* nA*nSeed and lies between 0 and nM-1). Otherwise adding nM
* yields a number still congruent to nA*nSeed, but now between
* 0 and nM-1, so that's the answer.
*/
long nU, nV;
nU = nSeed / nQ;
nV = nSeed - nQ * nU; /* i.e., nV = nSeed % nQ */
nSeed = nA * nV - nU * nR;
if (nSeed < 0)
nSeed += nM;
return (nSeed);
}
/******************************************************************
UnifInt: Yields an long uniformly distributed between given bounds
*******************************************************************/
/*
* long UnifInt( long nLow, long nHigh, long nStream )
*/
long
UnifInt(long nLow, long nHigh, long nStream)
/*
* Returns an integer uniformly distributed between nLow and nHigh,
* including * the endpoints. nStream is the random number stream.
* Stream 0 is used if nStream is not in the range 0..MAX_STREAM.
*/
{
double dRange;
long nTemp;
if (nStream < 0 || nStream > MAX_STREAM)
nStream = 0;
if (nLow > nHigh)
{
nTemp = nLow;
nLow = nHigh;
nHigh = nTemp;
}
dRange = DOUBLE_CAST (nHigh - nLow + 1);
Seed[nStream].value = NextRand(Seed[nStream].value);
nTemp = (long) (((double) Seed[nStream].value / dM) * (dRange));
return (nLow + nTemp);
}
/******************************************************************
UnifReal: Yields a real uniformly distributed between given bounds
*******************************************************************/
/*
* double UnifReal( double dLow, double dHigh, long nStream )
*/
double
UnifReal(double dLow, double dHigh, long nStream)
/*
* Returns a double uniformly distributed between dLow and dHigh,
* excluding the endpoints. nStream is the random number stream.
* Stream 0 is used if nStream is not in the range 0..MAX_STREAM.
*/
{
double dTemp;
if (nStream < 0 || nStream > MAX_STREAM)
nStream = 0;
if (dLow == dHigh)
return (dLow);
if (dLow > dHigh)
{
dTemp = dLow;
dLow = dHigh;
dHigh = dTemp;
}
Seed[nStream].value = NextRand(Seed[nStream].value);
dTemp = ((double) Seed[nStream].value / dM) * (dHigh - dLow);
return (dLow + dTemp);
}
/******************************************************************%
Exponential: Yields a real exponentially distributed with given mean
*******************************************************************/
/*
* double Exponential( double dMean, long nStream )
*/
double
Exponential(double dMean, long nStream)
/*
* Returns a double uniformly distributed with mean dMean.
* 0.0 is returned iff dMean <= 0.0. nStream is the random number
* stream. Stream 0 is used if nStream is not in the range
* 0..MAX_STREAM.
*/
{
double dTemp;
if (nStream < 0 || nStream > MAX_STREAM)
nStream = 0;
if (dMean <= 0.0)
return (0.0);
Seed[nStream].value = NextRand(Seed[nStream].value);
dTemp = (double) Seed[nStream].value / dM; /* unif between 0..1 */
return (-dMean * log(1.0 - dTemp));
}