Chombo + EB + MF  3.2
Classes | Macros | Functions
LAPACKMatrix.H File Reference
#include "REAL.H"
#include "LoHiSide.H"
#include <utility>
#include "BaseNamespaceHeader.H"
#include "BaseNamespaceFooter.H"
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class  LAPACKMatrix




Real getInverseOfConditionNumber (const LAPACKMatrix &A)
void multiply (LAPACKMatrix &a_product, const LAPACKMatrix &a_left, const LAPACKMatrix &a_right)
int solveLeastSquares (LAPACKMatrix &A, LAPACKMatrix &B)
 below stuff is shamelessly stolen from lapackwrapper class More...
int solveLeastSquaresTranspose (LAPACKMatrix &A, LAPACKMatrix &B)
int solveLSTSVDOnce (LAPACKMatrix &X, const LAPACKMatrix &A, const LAPACKMatrix &B)
int solveLSTSVD (LAPACKMatrix &A, LAPACKMatrix &B, int a_maxiter, Real a_tol)
int solveEqualityConstrainedLS (LAPACKMatrix &A, LAPACKMatrix &c, LAPACKMatrix &B, LAPACKMatrix &d, LAPACKMatrix &x)
int solveReducedRankLS (LAPACKMatrix &A, LAPACKMatrix &b)

Macro Definition Documentation



Function Documentation

◆ getInverseOfConditionNumber()

Real getInverseOfConditionNumber ( const LAPACKMatrix A)

Following Lapack, gets inverse of condition number. Returning a number near zero means the matrix is not really solvable.

◆ multiply()

void multiply ( LAPACKMatrix a_product,
const LAPACKMatrix a_left,
const LAPACKMatrix a_right 

sets product = a_left* a_right fails if a_left.m_col != a_right.m_rows

◆ solveLeastSquares()

int solveLeastSquares ( LAPACKMatrix A,

below stuff is shamelessly stolen from lapackwrapper class

Solves A*X = B using general least squares, for each column of B

◆ solveLeastSquaresTranspose()

int solveLeastSquaresTranspose ( LAPACKMatrix A,

Solves A'*X = B using least squares, for vector b

◆ solveLSTSVDOnce()

int solveLSTSVDOnce ( LAPACKMatrix X,
const LAPACKMatrix A,
const LAPACKMatrix B 

Solves A*X = B using least squares with SVD, for X

◆ solveLSTSVD()

int solveLSTSVD ( LAPACKMatrix A,
int  a_maxiter,
Real  a_tol 

Solves A^T X = B using least squares with SVD, for vector b

◆ solveEqualityConstrainedLS()

int solveEqualityConstrainedLS ( LAPACKMatrix A,
LAPACKMatrix c,
LAPACKMatrix d,
LAPACKMatrix x 

Solves equality constrained least squares problem Find x, s.t. min norm(A x - c) with B x = d

◆ solveReducedRankLS()

int solveReducedRankLS ( LAPACKMatrix A,
LAPACKMatrix b 

Solves A'*X = B using reduced rank least squares, for vector b