repsolp.cpp
来自「用于电力系统潮流计算 c++程序」· C++ 代码 · 共 160 行
CPP
160 行
/* Perform Repeat Solution.
Remarks: Matrix1 must be already factored (see FACTOR or FACTORNS).
The input vector is not permuted, this is done internally
in this routine using the row permutation vector created
by the ordering routine (see FACTORNS). */
#include <stdlib.h>
#ifndef WINDOWS
#include <stdio.h>
#else
#include "pfwstdio.h"
#endif
#include <math.h>
#include "constant.h"
#include "param.h"
#include "sparse.h"
#ifdef ANSIPROTO
void ForwardSubstitution(void);
void DiagonalScaling(void);
void BackSubstitution(void);
void CreateDiagonalPointer(void);
void repsolp(SparseMatrix *Mptr,VALUETYPE *Vptr,
IntegerVector *PermR,IntegerVector *PermC);
#else
void ForwardSubstitution();
void DiagonalScaling();
void BackSubstitution();
void CreateDiagonalPointer();
void repsolp();
#endif
/* ==================== Global definitions ============================= */
SparseMatrix *Matrix1;
INDEX Nstop1;
LONGINT Nmult1;
SparseMatrixElement **DiagPtr;
VALUETYPE *FullVector;
int DetSign;
/* ======================== ForwardSubstition =========================== */
void ForwardSubstitution()
{
INDEX I,J;
SparseMatrixElement *Ptr1;
/* BEGIN ForwardSubstitution */
I = 1;
while (I <= Matrix1->n1) {
Ptr1 = Matrix1->RowHead[I];
while (Ptr1 != NULL) {
J = Ptr1->Col;
if ((J < I) && (J <= Nstop1)) {
FullVector[I] = FullVector[I] - FullVector[J] * Ptr1->Value;
Nmult1++;
}
Ptr1 = Ptr1->RowNext;
}
I++;
}
} /* END ForwardSubstitution */
/* =========================== DiagonalScaling =========================== */
void DiagonalScaling()
{
INDEX I;
/* BEGIN DiagonalScaling */
DetSign=1;
for (I=1; I<=Nstop1; I++) {
FullVector[I] = FullVector[I] * DiagPtr[I]->Value;
if (DiagPtr[I]->Value<0) DetSign=-DetSign;
Nmult1++;
}
} /* END DiagonalScaling */
/* =============================== BackSubstitution ==================== */
void BackSubstitution()
{
INDEX I,J;
SparseMatrixElement *Ptr1;
/* BEGIN BackSubstitution */
I = Nstop1;
while (I > 0) {
Ptr1 = Matrix1->RowHead[I];
while (Ptr1 != NULL) {
J = Ptr1->Col;
if (J > I) {
FullVector[I] = FullVector[I] - FullVector[J] * Ptr1->Value;
Nmult1++;
}
Ptr1 = Ptr1->RowNext;
}
I--;
}
} /* END BackSubstitution */
/* ========================= CreateDiagonalPointer ======================= */
void CreateDiagonalPointer()
{
INDEX i;
SparseMatrixElement *Ptr1;
/* BEGIN */
#ifdef WINDOWS
DiagPtr = new SparseMatrixElement*[Matrix1->n1+1];
#else
DiagPtr = (SparseMatrixElement **)
calloc((Matrix1->n1+1),sizeof(SparseMatrixElement *));
#endif
for(i=0;i<Matrix1->n1+1;i++) DiagPtr[i]=NULL;
for (i=1; i<=Matrix1->n1; i++) {
Ptr1 = Matrix1->RowHead[i];
while ((Ptr1 != NULL) && (DiagPtr[i] == NULL)) {
if (Ptr1->Col == Ptr1->Row) DiagPtr[i] = Ptr1;
Ptr1 = Ptr1->RowNext;
}
}
}
/* =========================== repsolp ================================== */
#ifdef ANSIPROTO
void repsolp(SparseMatrix *Mptr,VALUETYPE *Vptr,
IntegerVector *PermR,IntegerVector *PermC)
#else
void repsolp(Mptr,Vptr,PermR,PermC)
SparseMatrix *Mptr;
VALUETYPE *Vptr;
IntegerVector *PermR,*PermC;
#endif
{
INDEX i;
/* BEGIN RepeatSolution */
Matrix1 = Mptr;
CreateDiagonalPointer();
Nstop1 = Matrix1->n1;
Nmult1 = 0;
#ifdef WINDOWS
FullVector= new VALUETYPE[Nstop1+1];
#else
FullVector=(VALUETYPE *) malloc((Nstop1+1)*sizeof(VALUETYPE));
if (FullVector==NULL) {ErrorHalt("Insufficient memory for solution vector"); exit(ERROREXIT);}
#endif
for (i=1;i<=Nstop1;i++) FullVector[i]=Vptr[PermR->p[i]];
ForwardSubstitution();
DiagonalScaling();
BackSubstitution();
for (i=1;i<=Nstop1;i++) Vptr[i]=FullVector[PermC->p[i]];
#ifdef WINDOWS
delete[] DiagPtr;
delete[] FullVector;
#else
free(DiagPtr);
free(FullVector);
#endif
/* fprintf(stderr," Repeat Solution Multiplications (Tau+N): %ld\n",Nmult1);*/
}
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