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solver/OndselSolver/GESpMatParPvPrecise.cpp

127 lines
4.1 KiB
C++

/***************************************************************************
* Copyright (c) 2023 Ondsel, Inc. *
* *
* This file is part of OndselSolver. *
* *
* See LICENSE file for details about copyright. *
***************************************************************************/
#include <cassert>
#include "GESpMatParPvPrecise.h"
#include "SingularMatrixError.h"
#include "CREATE.h"
using namespace MbD;
void GESpMatParPvPrecise::doPivoting(size_t p)
{
//"Search from bottom to top."
//"Use scaling vector and partial pivoting with actual swapping of rows."
//"Check for singular pivot."
//"Do scaling. Do partial pivoting."
//| max rowPivot aip mag lookForFirstNonZeroInPivotCol i |
ssize_t i; //Use ssize_t because of decrement
size_t rowPivoti;
double aip, mag, max;
SpRowDsptr spRowi;
rowPositionsOfNonZerosInPivotColumn->clear();
auto lookForFirstNonZeroInPivotCol = true;
i = (ssize_t)m - 1;
while (lookForFirstNonZeroInPivotCol) {
spRowi = matrixA->at(i);
if (spRowi->find(p) == spRowi->end()) {
if (i <= (ssize_t)p) throwSingularMatrixError("doPivoting"); //Use ssize_t because i can be negative
}
else {
markowitzPivotColCount = 0;
aip = spRowi->at(p);
mag = aip * rowScalings->at(i);
if (mag < 0) mag = -mag;
max = mag;
rowPivoti = (size_t)i;
lookForFirstNonZeroInPivotCol = false;
}
i--;
}
while (i >= (ssize_t)p) { //Use ssize_t because i can be negative
spRowi = matrixA->at(i);
if (spRowi->find(p) == spRowi->end()) {
aip = std::numeric_limits<double>::min();
}
else {
aip = spRowi->at(p);
markowitzPivotColCount++;
mag = aip * rowScalings->at(i);
if (mag < 0) mag = -mag;
if (mag > max) {
max = mag;
rowPositionsOfNonZerosInPivotColumn->push_back(rowPivoti);
rowPivoti = (size_t)i;
}
else {
rowPositionsOfNonZerosInPivotColumn->push_back(i);
}
}
i--;
}
if (p != rowPivoti) {
matrixA->swapElems(p, rowPivoti);
rightHandSideB->swapElems(p, rowPivoti);
rowScalings->swapElems(p, rowPivoti);
rowOrder->swapElems(p, rowPivoti);
if (aip != std::numeric_limits<double>::min()) rowPositionsOfNonZerosInPivotColumn->at(markowitzPivotColCount - 1) = rowPivoti;
}
pivotValues->at(p) = max;
if (max < singularPivotTolerance) throwSingularMatrixError("doPivoting");
}
void GESpMatParPvPrecise::preSolvewithsaveOriginal(SpMatDsptr spMat, FColDsptr fullCol, bool saveOriginal)
{
//throw SimulationStoppingError("To be implemented.");
//"A conditioned copy of aMatrix is solved."
if (m != spMat->nrow() || n != spMat->ncol()) {
m = spMat->nrow();
n = spMat->ncol();
matrixA = std::make_shared<SparseMatrix<double>>(m);
rowScalings = std::make_shared<FullColumn<double>>(m);
pivotValues = std::make_shared<FullColumn<double>>(m);
rowOrder = std::make_shared<FullColumn<size_t>>(m);
rowPositionsOfNonZerosInPivotColumn = std::make_shared<std::vector<size_t>>();
}
if (saveOriginal) {
rightHandSideB = fullCol->copy();
}
else {
rightHandSideB = fullCol;
}
for (size_t i = 0; i < m; i++)
{
auto& spRowi = spMat->at(i);
double maxRowMagnitude = spRowi->maxMagnitude();
if (maxRowMagnitude == 0) throwSingularMatrixError("preSolvewithsaveOriginal");
rowScalings->at(i) = 1.0 / maxRowMagnitude;
matrixA->at(i) = spRowi->conditionedWithTol(singularPivotTolerance * maxRowMagnitude);
rowOrder->at(i) = i;
}
}
void MbD::GESpMatParPvPrecise::runSpMat()
{
auto spMat = std::make_shared<SparseMatrix<double>>(3, 3);
spMat->atijput(0, 0, 1.0);
spMat->atijput(0, 1, 1.0);
spMat->atijput(1, 0, 1.0);
spMat->atijput(1, 1, 1.0);
spMat->atijput(1, 2, 1.0);
spMat->atijput(2, 1, 1.0);
spMat->atijput(2, 2, 1.0);
auto fullCol = std::make_shared<FullColumn<double>>(3);
fullCol->atiput(0, 1.0);
fullCol->atiput(1, 2.0);
fullCol->atiput(2, 3.0);
auto matSolver = CREATE<GESpMatParPvPrecise>::With();
auto answer = matSolver->solvewithsaveOriginal(spMat, fullCol, true);
auto aAx = spMat->timesFullColumn(answer);
}