template<typename T>
void Herk
( UpperOrLower uplo, Orientation orientation,
Base<T> alpha, const Matrix<T>& A, Base<T> beta, Matrix<T>& C )
{
DEBUG_ONLY(CSE cse("Herk"))
Syrk( uplo, orientation, T(alpha), A, T(beta), C, true );
}
template<typename T>
void Herk
( UpperOrLower uplo, Orientation orientation,
Base<T> alpha, const Matrix<T>& A, Matrix<T>& C )
{
DEBUG_ONLY(CSE cse("Herk"))
const Int n = ( orientation==NORMAL ? A.Height() : A.Width() );
C.Resize( n, n );
Zero( C );
Syrk( uplo, orientation, T(alpha), A, T(0), C, true );
}
template<typename T>
void Herk
( UpperOrLower uplo, Orientation orientation,
Base<T> alpha, const ElementalMatrix<T>& A,
Base<T> beta, ElementalMatrix<T>& C )
{
DEBUG_ONLY(CSE cse("Herk"))
Syrk( uplo, orientation, T(alpha), A, T(beta), C, true );
}
/*
Copyright (c) 2009-2015, Jack Poulson
All rights reserved.
This file is part of Elemental and is under the BSD 2-Clause License,
which can be found in the LICENSE file in the root directory, or at
http://opensource.org/licenses/BSD-2-Clause
*/
#include "El.hpp"
namespace El {
template<typename F>
Base<F> OneCondition( const Matrix<F>& A )
{
DEBUG_ONLY(CallStackEntry cse("OneCondition"))
typedef Base<F> Real;
Matrix<F> B( A );
const Real oneNorm = OneNorm( B );
try { Inverse( B ); }
catch( SingularMatrixException& e )
{ return std::numeric_limits<Real>::infinity(); }
const Real oneNormInv = OneNorm( B );
return oneNorm*oneNormInv;
}
template<typename F>
Base<F> OneCondition( const AbstractDistMatrix<F>& A )
{
DEBUG_ONLY(CallStackEntry cse("OneCondition"))
typedef Base<F> Real;
// | -I 0 (-z <> x) | | dz | = | z <> rmu |
//
// where
//
// rc = A^T y - z + c,
// rb = A x - b,
// rmu = x o z - tau e
template<typename Real>
void KKT
( const Matrix<Real>& A,
const Matrix<Real>& x,
const Matrix<Real>& z,
Matrix<Real>& J, bool onlyLower )
{
DEBUG_ONLY(CSE cse("lp::direct::KKT"))
const Int m = A.Height();
const Int n = A.Width();
Zeros( J, 2*n+m, 2*n+m );
const IR xInd(0,n), yInd(n,n+m), zInd(n+m,2*n+m);
auto Jxx = J(xInd,xInd); auto Jxy = J(xInd,yInd); auto Jxz = J(xInd,zInd);
auto Jyx = J(yInd,xInd); auto Jyy = J(yInd,yInd); auto Jyz = J(yInd,zInd);
auto Jzx = J(zInd,xInd); auto Jzy = J(zInd,yInd); auto Jzz = J(zInd,zInd);
// Jyx := A
// ========
Jyx = A;
// Jzx := -I
// =========
// s.t. | A -1 | | x | <= | b |
// | -A -1 | | t | | -b |
//
// NOTE: There is likely an appropriate citation, but the derivation is
// trivial. If one is found, it will be added.
namespace El {
template<typename Real>
void CP
( const Matrix<Real>& A,
const Matrix<Real>& b,
Matrix<Real>& x,
const lp::affine::Ctrl<Real>& ctrl )
{
DEBUG_ONLY(CSE cse("CP"))
const Int m = A.Height();
const Int n = A.Width();
Matrix<Real> c, AHat, bHat, G, h;
// c := [zeros(n,1);1]
// ===================
Zeros( c, n+1, 1 );
c.Set( n, 0, Real(1) );
// \hat A := zeros(0,n+1)
// ======================
Zeros( AHat, 0, n+1 );
// \hat b := zeros(0,1)
// ====================
#pragma once
#ifndef ELEM_BIDIAG_APPLY_HPP
#define ELEM_BIDIAG_APPLY_HPP
#include ELEM_APPLYPACKEDREFLECTORS_INC
namespace elem {
namespace bidiag {
template<typename F>
inline void
ApplyQ
( LeftOrRight side, Orientation orientation,
const Matrix<F>& A, const Matrix<F>& t, Matrix<F>& B )
{
DEBUG_ONLY(CallStackEntry cse("bidiag::ApplyQ"))
const bool normal = (orientation==NORMAL);
const bool onLeft = (side==LEFT);
const ForwardOrBackward direction = ( normal==onLeft ? BACKWARD : FORWARD );
const Conjugation conjugation = ( normal ? CONJUGATED : UNCONJUGATED );
const Int offset = ( A.Height()>=A.Width() ? 0 : -1 );
ApplyPackedReflectors
( side, LOWER, VERTICAL, direction, conjugation, offset, A, t, B );
}
template<typename F>
inline void
ApplyP
( LeftOrRight side, Orientation orientation,
const Matrix<F>& A, const Matrix<F>& t, Matrix<F>& B )
{
All rights reserved.
This file is part of Elemental and is under the BSD 2-Clause License,
which can be found in the LICENSE file in the root directory, or at
http://opensource.org/licenses/BSD-2-Clause
*/
#include "El.hpp"
namespace El {
namespace ldl {
template<typename F>
void DiagonalScale
( const NodeInfo& info, const Front<F>& front, MatrixNode<F>& X )
{
DEBUG_ONLY(CSE cse("ldl::DiagonalScale"))
const Int numChildren = info.children.size();
for( Int c=0; c<numChildren; ++c )
DiagonalScale( *info.children[c], *front.children[c], *X.children[c] );
if( PivotedFactorization(front.type) )
QuasiDiagonalScale
( LEFT, LOWER, front.diag, front.subdiag,
X.matrix, front.isHermitian );
else
DiagonalScale( LEFT, NORMAL, front.diag, X.matrix );
}
template<typename F>
void DiagonalScale
This file is part of Elemental and is under the BSD 2-Clause License,
which can be found in the LICENSE file in the root directory, or at
http://opensource.org/licenses/BSD-2-Clause
*/
#include <El-lite.hpp>
#include <El/blas_like/level1.hpp>
#include <El/matrices.hpp>
namespace El {
// Draw each entry from a normal PDF
template<typename F>
void MakeGaussian( Matrix<F>& A, F mean, Base<F> stddev )
{
DEBUG_ONLY(CSE cse("MakeGaussian"))
auto sampleNormal = [=]() { return SampleNormal(mean,stddev); };
EntrywiseFill( A, function<F()>(sampleNormal) );
}
template<typename F>
void MakeGaussian( AbstractDistMatrix<F>& A, F mean, Base<F> stddev )
{
DEBUG_ONLY(CSE cse("MakeGaussian"))
if( A.RedundantRank() == 0 )
MakeGaussian( A.Matrix(), mean, stddev );
Broadcast( A, A.RedundantComm(), 0 );
}
template<typename F>
void MakeGaussian( DistMultiVec<F>& A, F mean, Base<F> stddev )
inline
DistNodalMultiVec<F>::DistNodalMultiVec( const DistNodalMatrix<F>& X )
{
DEBUG_ONLY(CallStackEntry cse("DistNodalMultiVec::DistNodalMultiVec"))
*this = X;
}
This file is part of Elemental and is under the BSD 2-Clause License,
which can be found in the LICENSE file in the root directory, or at
http://opensource.org/licenses/BSD-2-Clause
*/
#pragma once
#ifndef EL_TRSTRM_LLN_HPP
#define EL_TRSTRM_LLN_HPP
namespace El {
namespace trstrm {
template<typename F>
inline void
LLNUnb( UnitOrNonUnit diag, F alpha, const Matrix<F>& L, Matrix<F>& X )
{
DEBUG_ONLY(CSE cse("trstrm::LLNUnb"))
const bool isUnit = ( diag==UNIT );
const Int n = L.Height();
const Int LLDim = L.LDim();
const Int XLDim = X.LDim();
const F* LBuffer = L.LockedBuffer();
F* XBuffer = X.Buffer();
// X := alpha X
if( alpha != F(1) )
for( Int j=0; j<n; ++j )
for( Int i=j; i<n; ++i )
XBuffer[i+j*XLDim] *= alpha;
for( Int i=0; i<n; ++i )
{
BDM& BDM::operator=( const DistMatrix<T,STAR,MR,BLOCK_CYCLIC>& A )
{
DEBUG_ONLY(CSE cse("[STAR,VR] = [STAR,MR]"))
copy::PartialRowFilter( A, *this );
return *this;
}
#pragma once
#ifndef EL_BIDIAG_L_HPP
#define EL_BIDIAG_L_HPP
#include "./LUnb.hpp"
#include "./LPan.hpp"
namespace El {
namespace bidiag {
// NOTE: Very little is changed versus the upper case. Perhaps they should be
// combined.
template<typename F>
inline void L( Matrix<F>& A, Matrix<F>& tP, Matrix<F>& tQ )
{
DEBUG_ONLY(CSE cse("bidiag::L"))
const Int m = A.Height();
const Int n = A.Width();
DEBUG_ONLY(
if( m > n )
LogicError("A must be at least as wide as it is tall");
// Are these requirements necessary?!?
if( tP.Viewing() || tQ.Viewing() )
LogicError("tP and tQ must not be views");
)
const Int tPHeight = m;
const Int tQHeight = Max(m-1,0);
tP.Resize( tPHeight, 1 );
tQ.Resize( tQHeight, 1 );
Matrix<F> X, Y;
BDM& BDM::operator=( const DistMatrix<T,MC,MR,BLOCK_CYCLIC>& A )
{
DEBUG_ONLY(CSE cse("[STAR,VR] = [MC,MR]"))
copy::RowAllToAllDemote( A, *this );
return *this;
}
return *this;
}
template<typename T>
BDM& BDM::operator=( const DistMatrix<T,MR,MC,BLOCK_CYCLIC>& A )
{
DEBUG_ONLY(CSE cse("[STAR,VR] = [MR,MC]"))
DistMatrix<T,STAR,VC,BLOCK_CYCLIC> A_STAR_VC( A );
*this = A_STAR_VC;
return *this;
}
template<typename T>
BDM& BDM::operator=( const DistMatrix<T,MR,STAR,BLOCK_CYCLIC>& A )
{
DEBUG_ONLY(CSE cse("[STAR,VR] = [MR,STAR]"))
auto A_MR_MC = MakeUnique<DistMatrix<T,MR,MC,BLOCK_CYCLIC>>( A );
auto A_STAR_VC = MakeUnique<DistMatrix<T,STAR,VC,BLOCK_CYCLIC>>( *A_MR_MC );
A_MR_MC.reset();
*this = *A_STAR_VC;
return *this;
}
template<typename T>
BDM& BDM::operator=( const DistMatrix<T,STAR,MC,BLOCK_CYCLIC>& A )
{
DEBUG_ONLY(CSE cse("[STAR,VR] = [STAR,MC]"))
DistMatrix<T,STAR,VC,BLOCK_CYCLIC> A_STAR_VC( A );
*this = A_STAR_VC;
return *this;
}
void ColAllToAllDemote
( const DistMatrix<T,Partial<U>(),PartialUnionRow<U,V>()>& A,
DistMatrix<T, U, V >& B )
{
DEBUG_ONLY(CSE cse("copy::ColAllToAllDemote"))
AssertSameGrids( A, B );
const Int height = A.Height();
const Int width = A.Width();
B.AlignColsAndResize( A.ColAlign(), height, width, false, false );
if( !B.Participating() )
return;
const Int colAlign = B.ColAlign();
const Int rowAlignA = A.RowAlign();
const Int colStride = B.ColStride();
const Int colStridePart = B.PartialColStride();
const Int colStrideUnion = B.PartialUnionColStride();
const Int colRankPart = B.PartialColRank();
const Int colDiff = (colAlign%colStridePart) - A.ColAlign();
const Int colShiftA = A.ColShift();
const Int localHeightB = B.LocalHeight();
const Int localWidthA = A.LocalWidth();
const Int maxLocalHeight = MaxLength(height,colStride);
const Int maxLocalWidth = MaxLength(width,colStrideUnion);
const Int portionSize = mpi::Pad( maxLocalHeight*maxLocalWidth );
vector<T> buffer( 2*colStrideUnion*portionSize );
T* firstBuf = &buffer[0];
T* secondBuf = &buffer[colStrideUnion*portionSize];
if( colDiff == 0 )
{
// Pack
util::PartialColStridedPack
( height, localWidthA,
colAlign, colStride,
colStrideUnion, colStridePart, colRankPart,
colShiftA,
A.LockedBuffer(), A.LDim(),
firstBuf, portionSize );
// Simultaneously Scatter in columns and Gather in rows
mpi::AllToAll
( firstBuf, portionSize,
secondBuf, portionSize, B.PartialUnionColComm() );
// Unpack
util::RowStridedUnpack
( localHeightB, width,
rowAlignA, colStrideUnion,
secondBuf, portionSize,
B.Buffer(), B.LDim() );
}
else
{
#ifdef EL_UNALIGNED_WARNINGS
if( B.Grid().Rank() == 0 )
cerr << "Unaligned ColAllToAllDemote" << endl;
#endif
const Int sendColRankPart = Mod( colRankPart+colDiff, colStridePart );
const Int recvColRankPart = Mod( colRankPart-colDiff, colStridePart );
// Pack
util::PartialColStridedPack
( height, localWidthA,
colAlign, colStride,
colStrideUnion, colStridePart, sendColRankPart,
colShiftA,
A.LockedBuffer(), A.LDim(),
secondBuf, portionSize );
// Simultaneously Scatter in columns and Gather in rows
mpi::AllToAll
( secondBuf, portionSize,
firstBuf, portionSize, B.PartialUnionColComm() );
// Realign the result
mpi::SendRecv
( firstBuf, colStrideUnion*portionSize, sendColRankPart,
secondBuf, colStrideUnion*portionSize, recvColRankPart,
B.PartialColComm() );
// Unpack
util::RowStridedUnpack
( localHeightB, width,
rowAlignA, colStrideUnion,
secondBuf, portionSize,
B.Buffer(), B.LDim() );
}
}
#include "./Write/Ascii.hpp"
#include "./Write/AsciiMatlab.hpp"
#include "./Write/Binary.hpp"
#include "./Write/BinaryFlat.hpp"
#include "./Write/Image.hpp"
#include "./Write/MatrixMarket.hpp"
namespace El {
template<typename T>
void Write
( const Matrix<T>& A,
std::string basename, FileFormat format, std::string title )
{
DEBUG_ONLY(CallStackEntry cse("Write"))
switch( format )
{
case ASCII: write::Ascii( A, basename, title ); break;
case ASCII_MATLAB: write::AsciiMatlab( A, basename, title ); break;
case BINARY: write::Binary( A, basename ); break;
case BINARY_FLAT: write::BinaryFlat( A, basename ); break;
case MATRIX_MARKET: write::MatrixMarket( A, basename ); break;
case BMP:
case JPG:
case JPEG:
case PNG:
case PPM:
case XBM:
case XPM:
write::Image( A, basename, format ); break;
/*
Copyright (c) 2009-2015, Jack Poulson
All rights reserved.
This file is part of Elemental and is under the BSD 2-Clause License,
which can be found in the LICENSE file in the root directory, or at
http://opensource.org/licenses/BSD-2-Clause
*/
#include "El.hpp"
namespace El {
template<typename T>
void Wilkinson( Matrix<T>& A, Int k )
{
DEBUG_ONLY(CSE cse("Wilkinson"))
const Int n = 2*k+1;
Zeros( A, n, n );
FillDiagonal( A, T(1), -1 );
FillDiagonal( A, T(1), 1 );
for( Int j=0; j<=k; ++j )
A.Set( j, j, T(k-j) );
for( Int j=k+1; j<n; ++j )
A.Set( j, j, T(j-k) );
}
template<typename T>
void Wilkinson( AbstractDistMatrix<T>& A, Int k )
{
DEBUG_ONLY(CSE cse("Wilkinson"))
// Set the singular values to the absolute value of the eigenvalues
auto absLambda = []( Real sigma ) { return Abs(sigma); };
EntrywiseMap( s, function<Real(Real)>(absLambda) );
// TODO: Descending sort of triplets
}
// Return the singular values
// ==========================
// NOTE: A is ovewritten with its packed reduction to tridiagonal form
template<typename F>
void HermitianSVD( UpperOrLower uplo, Matrix<F>& A, Matrix<Base<F>>& s )
{
DEBUG_ONLY(CSE cse("HermitianSVD"))
#if 1
typedef Base<F> Real;
// Grab the eigenvalues of A
HermitianEig( uplo, A, s );
// Set the singular values to the absolute value of the eigenvalues
auto absLambda = []( Real sigma ) { return Abs(sigma); };
EntrywiseMap( s, function<Real(Real)>(absLambda) );
Sort( s, DESCENDING );
#else
MakeHermitian( uplo, A );
SVD( A, s );
#endif
}
/*
Copyright (c) 2009-2015, Jack Poulson
All rights reserved.
This file is part of Elemental and is under the BSD 2-Clause License,
which can be found in the LICENSE file in the root directory, or at
http://opensource.org/licenses/BSD-2-Clause
*/
#include "El.hpp"
namespace El {
template<typename T>
void Copy( const Matrix<T>& A, Matrix<T>& B )
{
DEBUG_ONLY(CallStackEntry cse("Copy"))
const Int height = A.Height();
const Int width = A.Width();
B.Resize( height, width );
const Int ALDim = A.LDim();
const Int BLDim = B.LDim();
const T* ABuf = A.LockedBuffer();
T* BBuf = B.Buffer();
EL_PARALLEL_FOR
for( Int j=0; j<width; ++j )
MemCopy( &BBuf[j*BLDim], &ABuf[j*ALDim], height );
}
template<typename S,typename T>
void Copy( const Matrix<S>& A, Matrix<T>& B )
This file is part of Elemental and is under the BSD 2-Clause License,
which can be found in the LICENSE file in the root directory, or at
http://opensource.org/licenses/BSD-2-Clause
*/
#include "El.hpp"
namespace El {
template<typename FDiag,typename F>
void DiagonalSolve
( LeftOrRight side, Orientation orientation,
const Matrix<FDiag>& d,
Matrix<F>& A,
bool checkIfSingular )
{
DEBUG_ONLY(CSE cse("DiagonalSolve"))
const Int m = A.Height();
const Int n = A.Width();
const bool conj = ( orientation == ADJOINT );
F* ABuf = A.Buffer();
const Int ALDim = A.LDim();
const FDiag* dBuf = d.LockedBuffer();
if( side == LEFT )
{
for( Int i=0; i<m; ++i )
{
const F delta = ( conj ? Conj(dBuf[i]) : dBuf[i] );
if( checkIfSingular && delta == F(0) )
throw SingularMatrixException();
const F deltaInv = F(1)/delta;
for( Int j=0; j<n; ++j )
Copyright (c) 2009-2015, Jack Poulson
All rights reserved.
This file is part of Elemental and is under the BSD 2-Clause License,
which can be found in the LICENSE file in the root directory, or at
http://opensource.org/licenses/BSD-2-Clause
*/
#include "El.hpp"
namespace El {
template<typename F>
pair<Base<F>,Base<F>>
ExtremalSingValEst( const SparseMatrix<F>& A, Int basisSize )
{
DEBUG_ONLY(CSE cse("ExtremalSingValEst"))
typedef Base<F> Real;
Matrix<Real> T;
ProductLanczos( A, T, basisSize );
const Int k = T.Height();
if( k == 0 )
return pair<Real,Real>(0,0);
Matrix<Real> d, dSub;
d = GetDiagonal( T );
dSub = GetDiagonal( T, -1 );
Matrix<Real> w;
HermitianTridiagEig( d, dSub, w, ASCENDING );
pair<Real,Real> extremal;
{
return height_;
}
template<typename F>
inline int
DistNodalMatrix<F>::Width() const
{
return width_;
}
template<typename F>
inline void
DistNodalMatrix<F>::ComputeCommMetas( const DistSymmInfo& info ) const
{
DEBUG_ONLY(CallStackEntry cse("DistNodalMatrix::ComputeCommMetas"))
const int numDist = info.distNodes.size();
commMetas.resize( numDist-1 );
// Handle the non-trivially distributed nodes
for( int s=1; s<numDist; ++s )
{
const DistSymmNodeInfo& node = info.distNodes[s];
const int teamSize = mpi::Size( node.comm );
const int teamRank = mpi::Rank( node.comm );
const Grid& grid = *node.grid;
const int gridHeight = grid.Height();
const int gridWidth = grid.Width();
const DistSymmNodeInfo& childNode = info.distNodes[s-1];
const int childTeamSize = mpi::Size( childNode.comm );
void Zeros( AbstractBlockDistMatrix<T>& A, Int m, Int n )
{
DEBUG_ONLY(CallStackEntry cse("Zeros"))
A.Resize( m, n );
Zero( A );
}
/*
Copyright (c) 2009-2016, Jack Poulson
All rights reserved.
This file is part of Elemental and is under the BSD 2-Clause License,
which can be found in the LICENSE file in the root directory, or at
http://opensource.org/licenses/BSD-2-Clause
*/
#include "El.hpp"
namespace El {
template<typename F>
Base<F> LogDetDiv( UpperOrLower uplo, const Matrix<F>& A, const Matrix<F>& B )
{
DEBUG_ONLY(CSE cse("LogDetDiv"))
if( A.Height() != A.Width() || B.Height() != B.Width() ||
A.Height() != B.Height() )
LogicError("A and B must be square matrices of the same size");
typedef Base<F> Real;
const Int n = A.Height();
Matrix<F> ACopy( A ), BCopy( B );
Cholesky( uplo, ACopy );
Cholesky( uplo, BCopy );
if( uplo == LOWER )
{
Trstrm( LEFT, uplo, NORMAL, NON_UNIT, F(1), BCopy, ACopy );
}
void Zeros( DistSparseMatrix<T>& A, Int m, Int n )
{
DEBUG_ONLY(CallStackEntry cse("Zeros"))
A.Resize( m, n );
Zero( A );
}
/*
Copyright (c) 2009-2015, Jack Poulson
All rights reserved.
This file is part of Elemental and is under the BSD 2-Clause License,
which can be found in the LICENSE file in the root directory, or at
http://opensource.org/licenses/BSD-2-Clause
*/
#include "El.hpp"
namespace El {
template<typename T>
void AllReduce( Matrix<T>& A, mpi::Comm comm, mpi::Op op )
{
DEBUG_ONLY(CSE cse("AllReduce"))
if( mpi::Size(comm) == 1 )
return;
const Int height = A.Height();
const Int width = A.Width();
const Int size = height*width;
if( height == A.LDim() )
{
mpi::AllReduce( A.Buffer(), size, op, comm );
}
else
{
vector<T> buf;
FastResize( buf, size );
// Pack
void Zeros( DistMultiVec<T>& A, Int m, Int n )
{
DEBUG_ONLY(CallStackEntry cse("Zeros"))
A.Resize( m, n );
Zero( A );
}
This file is part of Elemental and is under the BSD 2-Clause License,
which can be found in the LICENSE file in the root directory, or at
http://opensource.org/licenses/BSD-2-Clause
*/
#ifndef EL_BLAS_COPY_GENERALPURPOSE_HPP
#define EL_BLAS_COPY_GENERALPURPOSE_HPP
namespace El {
namespace copy {
template<typename S,typename T,typename=EnableIf<CanCast<S,T>>>
void Helper
( const AbstractDistMatrix<S>& A,
AbstractDistMatrix<T>& B )
{
DEBUG_ONLY(CSE cse("copy::Helper"))
// TODO: Decide whether S or T should be used as the transmission type
// based upon which is smaller. Transmit S by default.
const Int height = A.Height();
const Int width = A.Width();
const Grid& g = B.Grid();
const Dist colDist=B.ColDist(), rowDist=B.RowDist();
const int root = B.Root();
B.Resize( height, width );
const bool BPartic = B.Participating();
const bool includeViewers = (A.Grid() != B.Grid());
const Int localHeight = A.LocalHeight();
const Int localWidth = A.LocalWidth();
http://opensource.org/licenses/BSD-2-Clause
*/
#pragma once
#ifndef EL_HERMITIANTRIDIAGEIG_SORT_HPP
#define EL_HERMITIANTRIDIAGEIG_SORT_HPP
namespace El {
// This routine is slightly more general than necessary (complex support) so
// that it may also be used for sorting Hermitian eigenpairs
namespace herm_eig {
template<typename F>
void Sort( Matrix<Base<F>>& w, Matrix<F>& Z, SortType sort )
{
DEBUG_ONLY(CSE cse("herm_eig::Sort"))
if( sort == UNSORTED )
return;
// Initialize the pairs of indices and eigenvalues
typedef Base<F> Real;
vector<ValueInt<Real>> pairs = TaggedSort( w, sort );
// Reorder the eigenvectors and eigenvalues using the new ordering
const Int n = Z.Height();
const Int k = Z.Width();
Matrix<F> ZPerm( n, k );
for( Int j=0; j<k; ++j )
{
const Int source = pairs[j].index;
MemCopy( ZPerm.Buffer(0,j), Z.LockedBuffer(0,source), n );
size_ = mpi::Size( viewingComm_ );
// All processes own the grid, so we have to trivially split viewingGroup_
owningGroup_ = viewingGroup_;
height_ = height;
if( height_ < 0 )
LogicError("Process grid dimensions must be non-negative");
SetUpGrid();
}
inline void
Grid::SetUpGrid()
{
DEBUG_ONLY(CallStackEntry cse("Grid::SetUpGrid"))
if( size_ % height_ != 0 )
LogicError
("Grid height, ",height_,", does not evenly divide grid size, ",size_);
const int width = size_ / height_;
gcd_ = elem::GCD( height_, width );
int lcm = size_ / gcd_;
// Create the communicator for the owning group (mpi::COMM_NULL otherwise)
mpi::Create( viewingComm_, owningGroup_, owningComm_ );
vectorColToViewingMap_.resize(size_);
diagPathsAndRanks_.resize(2*size_);
MemZero( diagPathsAndRanks_.data(), 2*size_ );
const bool colMajor = (order_==COLUMN_MAJOR);
*/
namespace El {
namespace quasitrsm {
// Left Lower (Conjugate)Transpose (Non)Unit QuasiTrsm
// X := tril(L)^-T,
// X := tril(L)^-H,
// X := trilu(L)^-T, or
// X := trilu(L)^-H
template<typename F>
inline void
LLTUnb( bool conjugate, const Matrix<F>& L, Matrix<F>& X, bool checkIfSingular )
{
DEBUG_ONLY(CSE cse("quasitrsm::LLTUnb"))
typedef Base<F> Real;
const Int m = X.Height();
const Int n = X.Width();
const F* LBuf = L.LockedBuffer();
F* XBuf = X.Buffer();
const Int ldl = L.LDim();
const Int ldx = X.LDim();
if( conjugate )
Conjugate( X );
Int k=m-1;
while( k >= 0 )
{
