/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */ /* */ /* This file is part of the class library */ /* SoPlex --- the Sequential object-oriented simPlex. */ /* */ /* Copyright 1996-2022 Zuse Institute Berlin */ /* */ /* Licensed 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 */ /* */ /* Unless required by applicable law or agreed to in writing, software */ /* distributed under the License is distributed on an "AS IS" BASIS, */ /* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. */ /* See the License for the specific language governing permissions and */ /* limitations under the License. */ /* */ /* You should have received a copy of the Apache-2.0 license */ /* along with SoPlex; see the file LICENSE. If not email to soplex@zib.de. */ /* */ /* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */ /**@file slinsolver.h * @brief Sparse Linear Solver virtual base class. */ #ifndef _SLINSOLVER_H_ #define _SLINSOLVER_H_ #include #include #include "soplex/spxdefines.h" #include "soplex/svector.h" #include "soplex/ssvector.h" #include "soplex/dsvector.h" #include "soplex/didxset.h" namespace soplex { /**@brief Sparse Linear Solver virtual base class. @ingroup Algo Class SLinSolver provides a class for solving sparse linear systems with a matrix \f$A\f$ and arbitrary right-hand side vectors. For doing so, the matrix must be first #load%ed to an #SLinSolver object as an array of pointers to the \em column \ref SVectorBase "SVectors" of this matrix. */ template class SLinSolver { public: //--------------------------------------- /**@name Types */ ///@{ /// status flags of the SLinSolver class. enum Status { /** The SLinSolver is ready for solving linear systems with the loaded matrix */ OK = 0, /** The loaded matrix allows only for instable solutions to be computed */ INSTABLE = 1, /// The loaded matrix is singular. SINGULAR = 2, /// No matrix has yet been loaded. UNLOADED = 4, /// An error has occurred. ERROR = 8 }; ///@} //--------------------------------------- /**@name Miscellaneous */ ///@{ /// returns the name of the SLinSolver. virtual const char* getName() const = 0; /// returns the Status of the SLinSolver. virtual Status status() const = 0; /// unloads any matrix. virtual void clear() = 0; /// returns current memory consumption. virtual int memory() const = 0; /// returns dimension of loaded matrix. virtual int dim() const = 0; /// loads \p dim column vectors \p vec into the solver. /** Initializes SLinSolver for the solution of linear systems with the matrix consisting of \p dim column vectors given in \p vec. */ virtual Status load(const SVectorBase* vec[], int dim) = 0; /// returns a stability number (0: singularity, 1: perfect stability). /** Returns a stability parameter between 0 and 1, where 0 indicates singularity, while 1 indicates perfect stability. */ virtual R stability() const = 0; /// return estimate for the condition number based on the diagonal of U virtual R matrixMetric(int type = 0) const = 0; /// returns statistical information in form of a string. virtual std::string statistics() const = 0; /// Substitute column \p idx with \p subst. /** The change method is used to modify the loaded matrix by substituting column \p idx with the new vector \p subst. One may also pass the optional parameter \p eta to the solution of #solveRight() if readily availabble. This may improve on the performance of the update. */ virtual Status change(int idx, const SVectorBase& subst, const SSVectorBase* eta = 0) = 0; /// consistency check. virtual bool isConsistent() const = 0; /// get number of factorizations virtual int getFactorCount() const = 0; ///@} /**@name Solving linear systems For solving linear systems with an SLinSolver object, it must have previously been loaded with the matrix to use. Two types of systems can be solved \f$A x = b\f$ and \f$x^T A = b^T\f$. Method names related to the first and second type are solveRight() and solveLeft(), respectively. The methods receive their right hand-side vector \f$b\f$ as a \c const parameter, that will hence be unchanged after termination. Some methods are available with two parameters for right hand-side vectors. Then two system are solved in one method invocation. This should generally be faster than solving two systems seperately. The result vector(s) are allways given as the first parameter(s). Two types of result vectors are supported, VectorBase and SSVectorBase . */ ///@{ /// Solves \f$Ax=b\f$. virtual void solveRight(VectorBase& x, const VectorBase& b) /* const */ = 0; /// Solves \f$Ax=b\f$. virtual void solveRight(SSVectorBase& x, const SSVectorBase& b) /* const */ = 0; virtual void solveRight(SSVectorBase& x, const SVectorBase& b) /* const */ = 0; /** @brief Solves \f$Ax=b\f$. Possibly sets up internal data structures suitable for an optimized subsequent change() call with \f$b\f$ as entering column. */ virtual void solveRight4update(SSVectorBase& x, const SVectorBase& b) = 0; /// Solves \f$Ax=b\f$ and \f$Ay=d\f$. virtual void solve2right4update(SSVectorBase& x, VectorBase& y, const SVectorBase& b, SSVectorBase& d) = 0; /// sparse version of solving two systems of equations virtual void solve2right4update(SSVectorBase& x, SSVectorBase& y, const SVectorBase& b, SSVectorBase& d) = 0; /// Solves \f$Ax=b\f$, \f$Ay=d\f$ and \f$Az=e\f$. virtual void solve3right4update(SSVectorBase& x, VectorBase& y, VectorBase& z, const SVectorBase& b, SSVectorBase& d, SSVectorBase& e) = 0; /// sparse version of solving three systems of equations virtual void solve3right4update(SSVectorBase& x, SSVectorBase& y, SSVectorBase& z, const SVectorBase& b, SSVectorBase& d, SSVectorBase& e) = 0; /// solves \f$x^TA=b^T\f$. virtual void solveLeft(VectorBase& x, const VectorBase& b) /* const */ = 0; virtual void solveLeft(SSVectorBase& x, const SSVectorBase& b) /* const */ = 0; /// sparse version of solving one system of equations with transposed basis matrix virtual void solveLeft(SSVectorBase& x, const SVectorBase& b) /* const */ = 0; /// solves \f$x^TA=b^T\f$ and \f$x^TA=rhs2^T\f$ internally using \f$rhs2\f$. virtual void solveLeft(SSVectorBase& x, VectorBase& two, const SVectorBase& b, SSVectorBase& rhs2) /* const */ = 0; /// sparse version of solving two systems of equations with transposed basis matrix virtual void solveLeft(SSVectorBase& x, SSVectorBase& two, const SVectorBase& b, SSVectorBase& rhs2) /* const */ = 0; /// solves \f$x^TA=b^T\f$, \f$y^TA=d^T\f$ and \f$z^TA=e^T\f$ virtual void solveLeft(SSVectorBase& x, VectorBase& y, VectorBase& z, const SVectorBase& b, SSVectorBase& d, SSVectorBase& e) = 0; /// sparse version of solving three systems of equations with transposed basis matrix virtual void solveLeft(SSVectorBase& x, SSVectorBase& y, SSVectorBase& z, const SVectorBase& b, SSVectorBase& d, SSVectorBase& e) = 0; ///@} //--------------------------------------- /**@name Constructors / Destructors */ ///@{ /// default constructor SLinSolver() : spxout(0) {} /// destructor virtual ~SLinSolver() {} /// clone function for polymorphism virtual SLinSolver* clone() const = 0; ///@} /// message handler SPxOut* spxout; }; } // namespace soplex #endif // _SLINSOLVER_H_