repsolp.c
来自「电力系统分析计算 学习调试程序 UNIX / LINUX / CYGWIN 系统」· C语言 代码 · 共 160 行
C
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 ANSIPROTOvoid ForwardSubstitution(void);void DiagonalScaling(void);void BackSubstitution(void);void CreateDiagonalPointer(void);void repsolp(SparseMatrix *Mptr,VALUETYPE *Vptr, IntegerVector *PermR,IntegerVector *PermC);#elsevoid 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 ANSIPROTOvoid repsolp(SparseMatrix *Mptr,VALUETYPE *Vptr, IntegerVector *PermR,IntegerVector *PermC)#elsevoid 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"); stopExecute(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/* fCustomPrint(stderr," Repeat Solution Multiplications (Tau+N): %ld\n",Nmult1);*/}
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