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Fix some MPL2/LGPL lisencing confusions

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This commit is contained in:
Gael Guennebaud 2013-02-06 11:30:33 +01:00
parent 14e2ab02b5
commit 5154253933
9 changed files with 221 additions and 219 deletions
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3
Eigen/OrderingMethods
View File

@ -56,7 +56,10 @@
* \endcode * \endcode
*/ */
#ifndef EIGEN_MPL2_ONLY
#include "src/OrderingMethods/Amd.h" #include "src/OrderingMethods/Amd.h"
#endif
#include "src/OrderingMethods/Ordering.h" #include "src/OrderingMethods/Ordering.h"
#include "src/Core/util/ReenableStupidWarnings.h" #include "src/Core/util/ReenableStupidWarnings.h"

8
Eigen/SparseCholesky
View File

@ -20,11 +20,19 @@
* \endcode * \endcode
*/ */
#ifdef EIGEN_MPL2_ONLY
#error The SparseCholesky module has nothing to offer in MPL2 only mode
#endif
#include "src/misc/Solve.h" #include "src/misc/Solve.h"
#include "src/misc/SparseSolve.h" #include "src/misc/SparseSolve.h"
#include "src/SparseCholesky/SimplicialCholesky.h" #include "src/SparseCholesky/SimplicialCholesky.h"
#ifndef EIGEN_MPL2_ONLY
#include "src/SparseCholesky/SimplicialCholesky_impl.h"
#endif
#include "src/Core/util/ReenableStupidWarnings.h" #include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_SPARSECHOLESKY_MODULE_H #endif // EIGEN_SPARSECHOLESKY_MODULE_H

4
Eigen/src/OrderingMethods/Amd.h
View File

@ -2,10 +2,6 @@
// for linear algebra. // for linear algebra.
// //
// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr> // Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// 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/.
/* /*

26
Eigen/src/OrderingMethods/Ordering.h
View File

@ -4,29 +4,13 @@
// //
// Copyright (C) 2012 Désiré Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr> // Copyright (C) 2012 Désiré Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
// //
// Eigen is free software; you can redistribute it and/or // This Source Code Form is subject to the terms of the Mozilla
// modify it under the terms of the GNU Lesser General Public // Public License v. 2.0. If a copy of the MPL was not distributed
// License as published by the Free Software Foundation; either // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#ifndef EIGEN_ORDERING_H #ifndef EIGEN_ORDERING_H
#define EIGEN_ORDERING_H #define EIGEN_ORDERING_H
#include "Amd.h"
namespace Eigen { namespace Eigen {
#include "Eigen_Colamd.h" #include "Eigen_Colamd.h"
@ -53,6 +37,8 @@ void ordering_helper_at_plus_a(const MatrixType& mat, MatrixType& symmat)
} }
#ifndef EIGEN_MPL2_ONLY
/** \ingroup OrderingMethods_Module /** \ingroup OrderingMethods_Module
* \class AMDOrdering * \class AMDOrdering
* *
@ -94,6 +80,8 @@ class AMDOrdering
} }
}; };
#endif // EIGEN_MPL2_ONLY
/** \ingroup OrderingMethods_Module /** \ingroup OrderingMethods_Module
* \class NaturalOrdering * \class NaturalOrdering
* *

189
Eigen/src/SparseCholesky/SimplicialCholesky.h
View File

@ -1,52 +1,12 @@
// This file is part of Eigen, a lightweight C++ template library // This file is part of Eigen, a lightweight C++ template library
// for linear algebra. // for linear algebra.
// //
// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr> // Copyright (C) 2008-2012 Gael Guennebaud <gael.guennebaud@inria.fr>
// //
// This Source Code Form is subject to the terms of the Mozilla // 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 // 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/. // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
/*
NOTE: the _symbolic, and _numeric functions has been adapted from
the LDL library:
LDL Copyright (c) 2005 by Timothy A. Davis. All Rights Reserved.
LDL License:
Your use or distribution of LDL or any modified version of
LDL implies that you agree to this License.
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301
USA
Permission is hereby granted to use or copy this program under the
terms of the GNU LGPL, provided that the Copyright, this License,
and the Availability of the original version is retained on all copies.
User documentation of any code that uses this code or any modified
version of this code must cite the Copyright, this License, the
Availability note, and "Used by permission." Permission to modify
the code and to distribute modified code is granted, provided the
Copyright, this License, and the Availability note are retained,
and a notice that the code was modified is included.
*/
#include "../Core/util/NonMPL2.h"
#ifndef EIGEN_SIMPLICIAL_CHOLESKY_H #ifndef EIGEN_SIMPLICIAL_CHOLESKY_H
#define EIGEN_SIMPLICIAL_CHOLESKY_H #define EIGEN_SIMPLICIAL_CHOLESKY_H
@ -672,153 +632,6 @@ void SimplicialCholeskyBase<Derived>::ordering(const MatrixType& a, CholMatrixTy
ap.template selfadjointView<Upper>() = a.template selfadjointView<UpLo>().twistedBy(m_P); ap.template selfadjointView<Upper>() = a.template selfadjointView<UpLo>().twistedBy(m_P);
} }
template<typename Derived>
void SimplicialCholeskyBase<Derived>::analyzePattern_preordered(const CholMatrixType& ap, bool doLDLT)
{
const Index size = ap.rows();
m_matrix.resize(size, size);
m_parent.resize(size);
m_nonZerosPerCol.resize(size);
ei_declare_aligned_stack_constructed_variable(Index, tags, size, 0);
for(Index k = 0; k < size; ++k)
{
/* L(k,:) pattern: all nodes reachable in etree from nz in A(0:k-1,k) */
m_parent[k] = -1; /* parent of k is not yet known */
tags[k] = k; /* mark node k as visited */
m_nonZerosPerCol[k] = 0; /* count of nonzeros in column k of L */
for(typename CholMatrixType::InnerIterator it(ap,k); it; ++it)
{
Index i = it.index();
if(i < k)
{
/* follow path from i to root of etree, stop at flagged node */
for(; tags[i] != k; i = m_parent[i])
{
/* find parent of i if not yet determined */
if (m_parent[i] == -1)
m_parent[i] = k;
m_nonZerosPerCol[i]++; /* L (k,i) is nonzero */
tags[i] = k; /* mark i as visited */
}
}
}
}
/* construct Lp index array from m_nonZerosPerCol column counts */
Index* Lp = m_matrix.outerIndexPtr();
Lp[0] = 0;
for(Index k = 0; k < size; ++k)
Lp[k+1] = Lp[k] + m_nonZerosPerCol[k] + (doLDLT ? 0 : 1);
m_matrix.resizeNonZeros(Lp[size]);
m_isInitialized = true;
m_info = Success;
m_analysisIsOk = true;
m_factorizationIsOk = false;
}
template<typename Derived>
template<bool DoLDLT>
void SimplicialCholeskyBase<Derived>::factorize_preordered(const CholMatrixType& ap)
{
using std::sqrt;
eigen_assert(m_analysisIsOk && "You must first call analyzePattern()");
eigen_assert(ap.rows()==ap.cols());
const Index size = ap.rows();
eigen_assert(m_parent.size()==size);
eigen_assert(m_nonZerosPerCol.size()==size);
const Index* Lp = m_matrix.outerIndexPtr();
Index* Li = m_matrix.innerIndexPtr();
Scalar* Lx = m_matrix.valuePtr();
ei_declare_aligned_stack_constructed_variable(Scalar, y, size, 0);
ei_declare_aligned_stack_constructed_variable(Index, pattern, size, 0);
ei_declare_aligned_stack_constructed_variable(Index, tags, size, 0);
bool ok = true;
m_diag.resize(DoLDLT ? size : 0);
for(Index k = 0; k < size; ++k)
{
// compute nonzero pattern of kth row of L, in topological order
y[k] = 0.0; // Y(0:k) is now all zero
Index top = size; // stack for pattern is empty
tags[k] = k; // mark node k as visited
m_nonZerosPerCol[k] = 0; // count of nonzeros in column k of L
for(typename MatrixType::InnerIterator it(ap,k); it; ++it)
{
Index i = it.index();
if(i <= k)
{
y[i] += internal::conj(it.value()); /* scatter A(i,k) into Y (sum duplicates) */
Index len;
for(len = 0; tags[i] != k; i = m_parent[i])
{
pattern[len++] = i; /* L(k,i) is nonzero */
tags[i] = k; /* mark i as visited */
}
while(len > 0)
pattern[--top] = pattern[--len];
}
}
/* compute numerical values kth row of L (a sparse triangular solve) */
RealScalar d = internal::real(y[k]) * m_shiftScale + m_shiftOffset; // get D(k,k), apply the shift function, and clear Y(k)
y[k] = 0.0;
for(; top < size; ++top)
{
Index i = pattern[top]; /* pattern[top:n-1] is pattern of L(:,k) */
Scalar yi = y[i]; /* get and clear Y(i) */
y[i] = 0.0;
/* the nonzero entry L(k,i) */
Scalar l_ki;
if(DoLDLT)
l_ki = yi / m_diag[i];
else
yi = l_ki = yi / Lx[Lp[i]];
Index p2 = Lp[i] + m_nonZerosPerCol[i];
Index p;
for(p = Lp[i] + (DoLDLT ? 0 : 1); p < p2; ++p)
y[Li[p]] -= internal::conj(Lx[p]) * yi;
d -= internal::real(l_ki * internal::conj(yi));
Li[p] = k; /* store L(k,i) in column form of L */
Lx[p] = l_ki;
++m_nonZerosPerCol[i]; /* increment count of nonzeros in col i */
}
if(DoLDLT)
{
m_diag[k] = d;
if(d == RealScalar(0))
{
ok = false; /* failure, D(k,k) is zero */
break;
}
}
else
{
Index p = Lp[k] + m_nonZerosPerCol[k]++;
Li[p] = k ; /* store L(k,k) = sqrt (d) in column k */
if(d <= RealScalar(0)) {
ok = false; /* failure, matrix is not positive definite */
break;
}
Lx[p] = sqrt(d) ;
}
}
m_info = ok ? Success : NumericalIssue;
m_factorizationIsOk = true;
}
namespace internal { namespace internal {
template<typename Derived, typename Rhs> template<typename Derived, typename Rhs>

199
Eigen/src/SparseCholesky/SimplicialCholesky_impl.h Normal file
View File

@ -0,0 +1,199 @@
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008-2012 Gael Guennebaud <gael.guennebaud@inria.fr>
/*
NOTE: thes functions vave been adapted from the LDL library:
LDL Copyright (c) 2005 by Timothy A. Davis. All Rights Reserved.
LDL License:
Your use or distribution of LDL or any modified version of
LDL implies that you agree to this License.
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301
USA
Permission is hereby granted to use or copy this program under the
terms of the GNU LGPL, provided that the Copyright, this License,
and the Availability of the original version is retained on all copies.
User documentation of any code that uses this code or any modified
version of this code must cite the Copyright, this License, the
Availability note, and "Used by permission." Permission to modify
the code and to distribute modified code is granted, provided the
Copyright, this License, and the Availability note are retained,
and a notice that the code was modified is included.
*/
#include "../Core/util/NonMPL2.h"
#ifndef EIGEN_SIMPLICIAL_CHOLESKY_IMPL_H
#define EIGEN_SIMPLICIAL_CHOLESKY_IMPL_H
namespace Eigen {
template<typename Derived>
void SimplicialCholeskyBase<Derived>::analyzePattern_preordered(const CholMatrixType& ap, bool doLDLT)
{
const Index size = ap.rows();
m_matrix.resize(size, size);
m_parent.resize(size);
m_nonZerosPerCol.resize(size);
ei_declare_aligned_stack_constructed_variable(Index, tags, size, 0);
for(Index k = 0; k < size; ++k)
{
/* L(k,:) pattern: all nodes reachable in etree from nz in A(0:k-1,k) */
m_parent[k] = -1; /* parent of k is not yet known */
tags[k] = k; /* mark node k as visited */
m_nonZerosPerCol[k] = 0; /* count of nonzeros in column k of L */
for(typename CholMatrixType::InnerIterator it(ap,k); it; ++it)
{
Index i = it.index();
if(i < k)
{
/* follow path from i to root of etree, stop at flagged node */
for(; tags[i] != k; i = m_parent[i])
{
/* find parent of i if not yet determined */
if (m_parent[i] == -1)
m_parent[i] = k;
m_nonZerosPerCol[i]++; /* L (k,i) is nonzero */
tags[i] = k; /* mark i as visited */
}
}
}
}
/* construct Lp index array from m_nonZerosPerCol column counts */
Index* Lp = m_matrix.outerIndexPtr();
Lp[0] = 0;
for(Index k = 0; k < size; ++k)
Lp[k+1] = Lp[k] + m_nonZerosPerCol[k] + (doLDLT ? 0 : 1);
m_matrix.resizeNonZeros(Lp[size]);
m_isInitialized = true;
m_info = Success;
m_analysisIsOk = true;
m_factorizationIsOk = false;
}
template<typename Derived>
template<bool DoLDLT>
void SimplicialCholeskyBase<Derived>::factorize_preordered(const CholMatrixType& ap)
{
using std::sqrt;
eigen_assert(m_analysisIsOk && "You must first call analyzePattern()");
eigen_assert(ap.rows()==ap.cols());
const Index size = ap.rows();
eigen_assert(m_parent.size()==size);
eigen_assert(m_nonZerosPerCol.size()==size);
const Index* Lp = m_matrix.outerIndexPtr();
Index* Li = m_matrix.innerIndexPtr();
Scalar* Lx = m_matrix.valuePtr();
ei_declare_aligned_stack_constructed_variable(Scalar, y, size, 0);
ei_declare_aligned_stack_constructed_variable(Index, pattern, size, 0);
ei_declare_aligned_stack_constructed_variable(Index, tags, size, 0);
bool ok = true;
m_diag.resize(DoLDLT ? size : 0);
for(Index k = 0; k < size; ++k)
{
// compute nonzero pattern of kth row of L, in topological order
y[k] = 0.0; // Y(0:k) is now all zero
Index top = size; // stack for pattern is empty
tags[k] = k; // mark node k as visited
m_nonZerosPerCol[k] = 0; // count of nonzeros in column k of L
for(typename MatrixType::InnerIterator it(ap,k); it; ++it)
{
Index i = it.index();
if(i <= k)
{
y[i] += internal::conj(it.value()); /* scatter A(i,k) into Y (sum duplicates) */
Index len;
for(len = 0; tags[i] != k; i = m_parent[i])
{
pattern[len++] = i; /* L(k,i) is nonzero */
tags[i] = k; /* mark i as visited */
}
while(len > 0)
pattern[--top] = pattern[--len];
}
}
/* compute numerical values kth row of L (a sparse triangular solve) */
RealScalar d = internal::real(y[k]) * m_shiftScale + m_shiftOffset; // get D(k,k), apply the shift function, and clear Y(k)
y[k] = 0.0;
for(; top < size; ++top)
{
Index i = pattern[top]; /* pattern[top:n-1] is pattern of L(:,k) */
Scalar yi = y[i]; /* get and clear Y(i) */
y[i] = 0.0;
/* the nonzero entry L(k,i) */
Scalar l_ki;
if(DoLDLT)
l_ki = yi / m_diag[i];
else
yi = l_ki = yi / Lx[Lp[i]];
Index p2 = Lp[i] + m_nonZerosPerCol[i];
Index p;
for(p = Lp[i] + (DoLDLT ? 0 : 1); p < p2; ++p)
y[Li[p]] -= internal::conj(Lx[p]) * yi;
d -= internal::real(l_ki * internal::conj(yi));
Li[p] = k; /* store L(k,i) in column form of L */
Lx[p] = l_ki;
++m_nonZerosPerCol[i]; /* increment count of nonzeros in col i */
}
if(DoLDLT)
{
m_diag[k] = d;
if(d == RealScalar(0))
{
ok = false; /* failure, D(k,k) is zero */
break;
}
}
else
{
Index p = Lp[k] + m_nonZerosPerCol[k]++;
Li[p] = k ; /* store L(k,k) = sqrt (d) in column k */
if(d <= RealScalar(0)) {
ok = false; /* failure, matrix is not positive definite */
break;
}
Lx[p] = sqrt(d) ;
}
}
m_info = ok ? Success : NumericalIssue;
m_factorizationIsOk = true;
}
} // end namespace Eigen
#endif // EIGEN_SIMPLICIAL_CHOLESKY_IMPL_H

3
unsupported/Eigen/IterativeSolvers
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@ -27,8 +27,11 @@
#include "../../Eigen/src/misc/Solve.h" #include "../../Eigen/src/misc/Solve.h"
#include "../../Eigen/src/misc/SparseSolve.h" #include "../../Eigen/src/misc/SparseSolve.h"
#ifndef EIGEN_MPL2_ONLY
#include "src/IterativeSolvers/IterationController.h" #include "src/IterativeSolvers/IterationController.h"
#include "src/IterativeSolvers/ConstrainedConjGrad.h" #include "src/IterativeSolvers/ConstrainedConjGrad.h"
#endif
#include "src/IterativeSolvers/IncompleteLU.h" #include "src/IterativeSolvers/IncompleteLU.h"
#include "../../Eigen/Jacobi" #include "../../Eigen/Jacobi"
#include "../../Eigen/Householder" #include "../../Eigen/Householder"

4
unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h
View File

@ -2,10 +2,6 @@
// for linear algebra. // for linear algebra.
// //
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr> // Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// 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/.
/* NOTE The functions of this file have been adapted from the GMM++ library */ /* NOTE The functions of this file have been adapted from the GMM++ library */

4
unsupported/Eigen/src/IterativeSolvers/IterationController.h
View File

@ -2,10 +2,6 @@
// for linear algebra. // for linear algebra.
// //
// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr> // Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// 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/.
/* NOTE The class IterationController has been adapted from the iteration /* NOTE The class IterationController has been adapted from the iteration
* class of the GMM++ and ITL libraries. * class of the GMM++ and ITL libraries.