Files
odfstudio/sc/source/solver/CoinMPSolver.cxx
T
Tomaž Vajngerl 2c87d392dc solvers: extract the CoinMP problem build and solve into a helper
CoinMPSolver did the whole job in one function: sample the model by
perturbing each variable, build the CoinMP matrix from those
coefficients, solve, and read the result back. Move the matrix
build and solve into a standalone helper, coinmpSolveLinearModel,
that  takes the sampled coefficients plus the variable bounds and
column  types and returns the solution and status.

The helper treats the first entry of each cell's coefficient vector
as the value of an affine model at the origin and the rest as the
per variable slopes, which is what the existing sampling already
produces. That keeps the same convention while letting a future
caller supply coefficients sampled around a different point and its
own bounds, which is what a sequential linear programming loop
needs.

No behaviour change. CoinMPSolver still samples and sets up bounds
and column types exactly as before, then calls the helper. The
CoinMP solver unit test passes unchanged.

Signed-off-by: Tomaž Vajngerl <tomaz.vajngerl@collabora.co.uk>
Change-Id: I6d373a48caa9d67a932a599068368bae978f1f22
Reviewed-on: https://gerrit.collaboraoffice.com/c/online/+/4648
Tested-by: Tomaž Vajngerl <tomaz.vajngerl@collabora.com>
Reviewed-by: Miklos Vajna <vmiklos@collabora.com>
(cherry picked from commit 197f790a93880f56dd53db43e6bbb61c22ccfdc2)
Reviewed-on: https://gerrit.libreoffice.org/c/core/+/208337
Reviewed-by: Xisco Fauli <xiscofauli@libreoffice.org>
Tested-by: Xisco Fauli <xiscofauli@libreoffice.org>
2026-07-21 11:39:34 +02:00

200 lines
6.6 KiB
C++

/* -*- Mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
/*
* This file is part of the LibreOffice project.
*
* This Source Code Form is subject to the terms of the Mozilla Public
* License, v. 2.0. If a copy of the MPL was not distributed with this
* file, You can obtain one at http://mozilla.org/MPL/2.0/.
*
* This file incorporates work covered by the following license notice:
*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed
* with this work for additional information regarding copyright
* ownership. The ASF licenses this file to you under the Apache
* License, Version 2.0 (the "License"); you may not use this file
* except in compliance with the License. You may obtain a copy of
* the License at http://www.apache.org/licenses/LICENSE-2.0 .
*/
#include "CoinMPModel.hxx"
#include "SolverComponent.hxx"
#include "strings.hrc"
#include <com/sun/star/frame/XModel.hpp>
#include <com/sun/star/table/CellAddress.hpp>
#include <rtl/math.hxx>
#include <algorithm>
#include <vector>
#include <float.h>
namespace com::sun::star::uno { class XComponentContext; }
using namespace com::sun::star;
namespace {
class CoinMPSolver : public SolverComponent
{
public:
CoinMPSolver() {}
private:
virtual void SAL_CALL solve() override;
virtual OUString SAL_CALL getImplementationName() override
{
return u"com.sun.star.comp.Calc.CoinMPSolver"_ustr;
}
virtual OUString SAL_CALL getComponentDescription() override
{
return SolverComponent::GetResourceString( RID_COINMP_SOLVER_COMPONENT );
}
};
}
void SAL_CALL CoinMPSolver::solve()
{
uno::Reference<frame::XModel> xModel( mxDoc, uno::UNO_QUERY_THROW );
maStatus.clear();
mbSuccess = false;
xModel->lockControllers();
// collect variables in vector (?)
const auto & aVariableCells = maVariables;
size_t nVariables = aVariableCells.size();
size_t nVar = 0;
// collect all dependent cells
ScSolverCellHashMap aCellsHash;
aCellsHash[maObjective].reserve( nVariables + 1 ); // objective function
for (const auto& rConstr : maConstraints)
{
table::CellAddress aCellAddr = rConstr.Left;
aCellsHash[aCellAddr].reserve( nVariables + 1 ); // constraints: left hand side
if ( rConstr.Right >>= aCellAddr )
aCellsHash[aCellAddr].reserve( nVariables + 1 ); // constraints: right hand side
}
// set all variables to zero
//! store old values?
//! use old values as initial values?
for ( const auto& rVarCell : aVariableCells )
{
SetValue(rVarCell, 0.0);
}
// read initial values from all dependent cells
for ( auto& rEntry : aCellsHash )
{
double fValue = GetValue(rEntry.first);
rEntry.second.push_back( fValue ); // store as first element, as-is
}
// loop through variables
for ( const auto& rVarCell : aVariableCells )
{
SetValue(rVarCell, 1.0); // set to 1 to examine influence
// read value change from all dependent cells
for ( auto& rEntry : aCellsHash )
{
double fChanged = GetValue(rEntry.first);
double fInitial = rEntry.second.front();
rEntry.second.push_back( fChanged - fInitial );
}
SetValue(rVarCell, 2.0); // minimal test for linearity
for ( const auto& rEntry : aCellsHash )
{
double fInitial = rEntry.second.front();
double fCoeff = rEntry.second.back(); // last appended: coefficient for this variable
double fTwo = GetValue(rEntry.first);
bool bLinear = rtl::math::approxEqual( fTwo, fInitial + 2.0 * fCoeff ) ||
rtl::math::approxEqual( fInitial, fTwo - 2.0 * fCoeff );
// second comparison is needed in case fTwo is zero
if ( !bLinear )
maStatus = SolverComponent::GetResourceString( RID_ERROR_NONLINEAR );
}
SetValue(rVarCell, 0.0); // set back to zero for examining next variable
}
xModel->unlockControllers();
if ( !maStatus.isEmpty() )
return;
// variable bounds and column types. The default range is unbounded unless
// non-negativity was requested. Integer and binary single-variable
// constraints refine these.
std::vector<double> aLowerBounds(nVariables, mbNonNegative ? 0.0 : -DBL_MAX);
std::vector<double> aUpperBounds(nVariables, DBL_MAX);
std::vector<char> aColumnType(nVariables, mbInteger ? 'I' : 'C');
for (const auto& rConstr : maConstraints)
{
sheet::SolverConstraintOperator eOp = rConstr.Operator;
if ( eOp == sheet::SolverConstraintOperator_INTEGER ||
eOp == sheet::SolverConstraintOperator_BINARY )
{
table::CellAddress aLeftAddr = rConstr.Left;
for (nVar=0; nVar<nVariables; nVar++)
if ( AddressEqual( aVariableCells[nVar], aLeftAddr ) )
{
if ( eOp == sheet::SolverConstraintOperator_INTEGER )
aColumnType[nVar] = 'I';
else
{
aColumnType[nVar] = 'B';
aLowerBounds[nVar] = 0.0;
aUpperBounds[nVar] = 1.0;
}
}
}
}
// TODO: handle (or remove) settings: epsilon, B&B depth
CoinMpSolveResult aSolveResult
= coinmpSolveLinearModel(maVariables, maConstraints, maObjective, aCellsHash, aLowerBounds,
aUpperBounds, aColumnType, mbMaximize, mnTimeout);
mbSuccess = aSolveResult.bSuccess;
if ( mbSuccess )
{
maSolution.realloc( nVariables );
std::copy(aSolveResult.aSolution.begin(), aSolveResult.aSolution.end(),
maSolution.getArray());
mfResultValue = aSolveResult.fObjective;
}
else
{
if (aSolveResult.nStatus == 1)
maStatus = SolverComponent::GetResourceString( RID_ERROR_INFEASIBLE );
else if (aSolveResult.nStatus == 2)
maStatus = SolverComponent::GetResourceString( RID_ERROR_UNBOUNDED );
// TODO: detect timeout condition and report as RID_ERROR_TIMEOUT
// (currently reported as infeasible)
}
}
extern "C" SAL_DLLPUBLIC_EXPORT css::uno::XInterface *
com_sun_star_comp_Calc_CoinMPSolver_get_implementation(
css::uno::XComponentContext *,
css::uno::Sequence<css::uno::Any> const &)
{
return cppu::acquire(new CoinMPSolver());
}
/* vim:set shiftwidth=4 softtabstop=4 expandtab: */