mirror of
https://gitlab.com/libeigen/eigen.git
synced 2025-06-04 18:54:00 +08:00
implement other variants
This commit is contained in:
parent
db160f2e0b
commit
43086d12d2
@ -185,28 +185,58 @@ compute(const MatrixType& matA, const MatrixType& matB, int options)
|
||||
ei_assert(matA.cols()==matA.rows() && matB.rows()==matA.rows() && matB.cols()==matB.rows());
|
||||
ei_assert((options&~(EigVecMask|GenEigMask))==0
|
||||
&& (options&EigVecMask)!=EigVecMask
|
||||
&& ((options&GenEigMask)==Ax_lBx || (options&GenEigMask)==ABx_lx || (options&GenEigMask)==BAx_lx)
|
||||
&& ((options&GenEigMask)==0 || (options&GenEigMask)==Ax_lBx
|
||||
|| (options&GenEigMask)==ABx_lx || (options&GenEigMask)==BAx_lx)
|
||||
&& "invalid option parameter");
|
||||
|
||||
ei_assert((options&GenEigMask)==Ax_lBx && "other variants are not implemented yet, sorry.");
|
||||
|
||||
// TODO implements other variants !!
|
||||
|
||||
bool computeEigVecs = (options&EigVecMask)==ComputeEigenvectors;
|
||||
bool computeEigVecs = ((options&EigVecMask)==0) || ((options&EigVecMask)==ComputeEigenvectors);
|
||||
|
||||
// Compute the cholesky decomposition of matB = L L' = U'U
|
||||
LLT<MatrixType> cholB(matB);
|
||||
|
||||
int type = (options&GenEigMask);
|
||||
if(type==0)
|
||||
type = Ax_lBx;
|
||||
|
||||
if(type==Ax_lBx)
|
||||
{
|
||||
// compute C = inv(L) A inv(L')
|
||||
MatrixType matC = matA.template selfadjointView<Lower>();
|
||||
cholB.matrixL().template solveInPlace<OnTheLeft>(matC);
|
||||
cholB.matrixU().template solveInPlace<OnTheRight>(matC);
|
||||
|
||||
Base::compute(matC, options&EigVecMask);
|
||||
Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly );
|
||||
|
||||
// transform back the eigen vectors: evecs = inv(U) * evecs
|
||||
if(computeEigVecs)
|
||||
cholB.matrixU().solveInPlace(Base::m_eivec);
|
||||
}
|
||||
else if(type==ABx_lx)
|
||||
{
|
||||
// compute C = L' A L
|
||||
MatrixType matC = matA.template selfadjointView<Lower>();
|
||||
matC = matC * cholB.matrixL();
|
||||
matC = cholB.matrixU() * matC;
|
||||
|
||||
Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly);
|
||||
|
||||
// transform back the eigen vectors: evecs = inv(U) * evecs
|
||||
if(computeEigVecs)
|
||||
cholB.matrixU().solveInPlace(Base::m_eivec);
|
||||
}
|
||||
else if(type==BAx_lx)
|
||||
{
|
||||
// compute C = L' A L
|
||||
MatrixType matC = matA.template selfadjointView<Lower>();
|
||||
matC = matC * cholB.matrixL();
|
||||
matC = cholB.matrixU() * matC;
|
||||
|
||||
Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly);
|
||||
|
||||
// transform back the eigen vectors: evecs = L * evecs
|
||||
if(computeEigVecs)
|
||||
Base::m_eivec = cholB.matrixL() * Base::m_eivec;
|
||||
}
|
||||
|
||||
return *this;
|
||||
}
|
||||
|
@ -1,7 +1,7 @@
|
||||
// This file is part of Eigen, a lightweight C++ template library
|
||||
// for linear algebra.
|
||||
//
|
||||
// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
|
||||
// Copyright (C) 2008-2010 Gael Guennebaud <g.gael@free.fr>
|
||||
// Copyright (C) 2010 Jitse Niesen <jitse@maths.leeds.ac.uk>
|
||||
//
|
||||
// Eigen is free software; you can redistribute it and/or
|
||||
|
Loading…
x
Reference in New Issue
Block a user