Functions | |
bool | itpp::chol (const mat &X, mat &F) |
Cholesky factorisation of real symmetric and positive definite matrix. | |
mat | itpp::chol (const mat &X) |
Cholesky factorisation of real symmetric and positive definite matrix. | |
bool | itpp::chol (const cmat &X, cmat &F) |
Cholesky factorisation of complex hermitian and positive-definite matrix. | |
cmat | itpp::chol (const cmat &X) |
Cholesky factorisation of complex hermitian and positive-definite matrix. | |
bool | itpp::eig_sym (const mat &A, vec &d, mat &V) |
Calculates the eigenvalues and eigenvectors of a symmetric real matrix. | |
bool | itpp::eig_sym (const mat &A, vec &d) |
Calculates the eigenvalues of a symmetric real matrix. | |
vec | itpp::eig_sym (const mat &A) |
Calculates the eigenvalues of a symmetric real matrix. | |
bool | itpp::eig_sym (const cmat &A, vec &d, cmat &V) |
Calculates the eigenvalues and eigenvectors of a hermitian complex matrix. | |
bool | itpp::eig_sym (const cmat &A, vec &d) |
Calculates the eigenvalues of a hermitian complex matrix. | |
vec | itpp::eig_sym (const cmat &A) |
Calculates the eigenvalues of a hermitian complex matrix. | |
bool | itpp::eig (const mat &A, cvec &d, cmat &V) |
Calculates the eigenvalues and eigenvectors of a real non-symmetric matrix. | |
bool | itpp::eig (const mat &A, cvec &d) |
Calculates the eigenvalues of a real non-symmetric matrix. | |
cvec | itpp::eig (const mat &A) |
Calculates the eigenvalues of a real non-symmetric matrix. | |
bool | itpp::eig (const cmat &A, cvec &d, cmat &V) |
Calculates the eigenvalues and eigenvectors of a complex non-hermitian matrix. | |
bool | itpp::eig (const cmat &A, cvec &d) |
Calculates the eigenvalues of a complex non-hermitian matrix. | |
cvec | itpp::eig (const cmat &A) |
Calculates the eigenvalues of a complex non-hermitian matrix. | |
bool | itpp::lu (const mat &X, mat &L, mat &U, ivec &p) |
LU factorisation of real matrix. | |
bool | itpp::lu (const cmat &X, cmat &L, cmat &U, ivec &p) |
LU factorisation of real matrix. | |
void | itpp::interchange_permutations (vec &b, const ivec &p) |
Makes swapping of vector b according to the interchange permutation vector p. | |
bmat | itpp::permutation_matrix (const ivec &p) |
Make permutation matrix P from the interchange permutation vector p. | |
bool | itpp::qr (const mat &A, mat &Q, mat &R) |
QR factorisation of real matrix. | |
bool | itpp::qr (const mat &A, mat &R) |
QR factorisation of real matrix with suppressed evaluation of Q. | |
bool | itpp::qr (const mat &A, mat &Q, mat &R, bmat &P) |
QR factorisation of real matrix with pivoting. | |
bool | itpp::qr (const cmat &A, cmat &Q, cmat &R) |
QR factorisation of a complex matrix. | |
bool | itpp::qr (const cmat &A, cmat &R) |
QR factorisation of complex matrix with suppressed evaluation of Q. | |
bool | itpp::qr (const cmat &A, cmat &Q, cmat &R, bmat &P) |
QR factorisation of a complex matrix with pivoting. | |
bool | itpp::schur (const mat &A, mat &U, mat &T) |
Schur decomposition of a real matrix. | |
mat | itpp::schur (const mat &A) |
Schur decomposition of a real matrix. | |
bool | itpp::schur (const cmat &A, cmat &U, cmat &T) |
Schur decomposition of a complex matrix. | |
cmat | itpp::schur (const cmat &A) |
Schur decomposition of a complex matrix. | |
bool | itpp::svd (const mat &A, vec &s) |
Get singular values s of a real matrix A using SVD. | |
bool | itpp::svd (const cmat &A, vec &s) |
Get singular values s of a complex matrix A using SVD. | |
vec | itpp::svd (const mat &A) |
Return singular values of a real matrix A using SVD. | |
vec | itpp::svd (const cmat &A) |
Return singular values of a complex matrix A using SVD. | |
bool | itpp::svd (const mat &A, mat &U, vec &s, mat &V) |
Perform Singular Value Decomposition (SVD) of a real matrix A . | |
bool | itpp::svd (const cmat &A, cmat &U, vec &s, cmat &V) |
Perform Singular Value Decomposition (SVD) of a complex matrix A . | |
ITPP_EXPORT bool itpp::chol | ( | const mat & | X, |
mat & | F | ||
) |
Cholesky factorisation of real symmetric and positive definite matrix.
The Cholesky factorisation of a real symmetric positive-definite matrix
where
Returns true if calculation succeeded. False otherwise.
Definition at line 86 of file cholesky.cpp.
References it_error.
Referenced by itpp::chol(), and itpp::chol().
ITPP_EXPORT mat itpp::chol | ( | const mat & | X | ) |
Cholesky factorisation of real symmetric and positive definite matrix.
The Cholesky factorisation of a real symmetric positive-definite matrix
where
Definition at line 111 of file cholesky.cpp.
References itpp::chol(), and it_warning.
ITPP_EXPORT bool itpp::chol | ( | const cmat & | X, |
cmat & | F | ||
) |
Cholesky factorisation of complex hermitian and positive-definite matrix.
The Cholesky factorisation of a hermitian positive-definite matrix
where
Returns true if calculation succeeded. False otherwise.
If X
is positive definite, true is returned and F=chol(X)
produces an upper triangular F
. If also X
is symmetric then F'*F
= X. If X
is not positive definite, false is returned.
Definition at line 92 of file cholesky.cpp.
References it_error.
ITPP_EXPORT cmat itpp::chol | ( | const cmat & | X | ) |
Cholesky factorisation of complex hermitian and positive-definite matrix.
The Cholesky factorisation of a hermitian positive-definite matrix
where
Definition at line 101 of file cholesky.cpp.
References itpp::chol(), and it_warning.
ITPP_EXPORT bool itpp::eig_sym | ( | const mat & | A, |
vec & | d, | ||
mat & | V | ||
) |
Calculates the eigenvalues and eigenvectors of a symmetric real matrix.
The Eigenvalues
The eigenvectors are the columns of the matrix V. True is returned if the calculation was successful. Otherwise false.
Uses the LAPACK routine DSYEV.
Definition at line 252 of file eigen.cpp.
References it_error.
Referenced by itpp::eig_sym(), itpp::eig_sym(), mpower(), and pcamat().
ITPP_EXPORT bool itpp::eig_sym | ( | const mat & | A, |
vec & | d | ||
) |
ITPP_EXPORT vec itpp::eig_sym | ( | const mat & | A | ) |
Calculates the eigenvalues of a symmetric real matrix.
The Eigenvalues
Uses the LAPACK routine DSYEV.
Definition at line 303 of file eigen.cpp.
References itpp::eig_sym().
ITPP_EXPORT bool itpp::eig_sym | ( | const cmat & | A, |
vec & | d, | ||
cmat & | V | ||
) |
Calculates the eigenvalues and eigenvectors of a hermitian complex matrix.
The Eigenvalues
The eigenvectors are the columns of the matrix V. True is returned if the calculation was successful. Otherwise false.
Uses the LAPACK routine ZHEEV.
Definition at line 264 of file eigen.cpp.
References it_error.
ITPP_EXPORT bool itpp::eig_sym | ( | const cmat & | A, |
vec & | d | ||
) |
Calculates the eigenvalues of a hermitian complex matrix.
The Eigenvalues
True is returned if the calculation was successful. Otherwise false.
Uses the LAPACK routine ZHEEV.
Definition at line 270 of file eigen.cpp.
References it_error.
ITPP_EXPORT vec itpp::eig_sym | ( | const cmat & | A | ) |
Calculates the eigenvalues of a hermitian complex matrix.
The Eigenvalues
Uses the LAPACK routine ZHEEV.
Definition at line 310 of file eigen.cpp.
References itpp::eig_sym().
ITPP_EXPORT bool itpp::eig | ( | const mat & | A, |
cvec & | d, | ||
cmat & | V | ||
) |
Calculates the eigenvalues and eigenvectors of a real non-symmetric matrix.
The Eigenvalues
The eigenvectors are the columns of the matrix V. True is returned if the calculation was successful. Otherwise false.
Uses the LAPACK routine DGEEV.
Definition at line 277 of file eigen.cpp.
References it_error.
Referenced by itpp::eig(), itpp::eig(), itpp::roots(), and itpp::roots().
ITPP_EXPORT bool itpp::eig | ( | const mat & | A, |
cvec & | d | ||
) |
ITPP_EXPORT cvec itpp::eig | ( | const mat & | A | ) |
Calculates the eigenvalues of a real non-symmetric matrix.
The Eigenvalues
Uses the LAPACK routine DGEEV.
Definition at line 318 of file eigen.cpp.
References itpp::eig().
ITPP_EXPORT bool itpp::eig | ( | const cmat & | A, |
cvec & | d, | ||
cmat & | V | ||
) |
Calculates the eigenvalues and eigenvectors of a complex non-hermitian matrix.
The Eigenvalues
The eigenvectors are the columns of the matrix V. True is returned if the calculation was successful. Otherwise false.
Uses the LAPACK routine ZGEEV.
Definition at line 289 of file eigen.cpp.
References it_error.
ITPP_EXPORT bool itpp::eig | ( | const cmat & | A, |
cvec & | d | ||
) |
ITPP_EXPORT cvec itpp::eig | ( | const cmat & | A | ) |
Calculates the eigenvalues of a complex non-hermitian matrix.
The Eigenvalues
Uses the LAPACK routine ZGEEV.
Definition at line 325 of file eigen.cpp.
References itpp::eig().
ITPP_EXPORT bool itpp::lu | ( | const mat & | X, |
mat & | L, | ||
mat & | U, | ||
ivec & | p | ||
) |
LU factorisation of real matrix.
The LU factorization of the real matrix
where
The interchange permutation vector p is such that k and p(k) should be changed for all k. Given this vector a permutation matrix can be constructed using the function
If X is an n by n matrix lu(X,L,U,p) computes the LU decomposition. L is a lower triangular, U an upper triangular matrix. p is the interchange permutation vector such that k and p(k) should be changed for all k.
Returns true is calculation succeeds. False otherwise.
Definition at line 117 of file lu.cpp.
References it_error.
Referenced by itpp::det(), and itpp::det().
ITPP_EXPORT bool itpp::lu | ( | const cmat & | X, |
cmat & | L, | ||
cmat & | U, | ||
ivec & | p | ||
) |
LU factorisation of real matrix.
The LU factorization of the complex matrix
where
The interchange permutation vector p is such that k and p(k) should be changed for all k. Given this vector a permutation matrix can be constructed using the function
If X is an n by n matrix lu(X,L,U,p) computes the LU decomposition. L is a lower triangular, U an upper triangular matrix. p is the interchange permutation vector such that elements k and row p(k) should be interchanged.
Returns true is calculation succeeds. False otherwise.
Definition at line 123 of file lu.cpp.
References it_error.
ITPP_EXPORT void itpp::interchange_permutations | ( | vec & | b, |
const ivec & | p | ||
) |
ITPP_EXPORT bmat itpp::permutation_matrix | ( | const ivec & | p | ) |
Make permutation matrix P from the interchange permutation vector p.
Definition at line 144 of file lu.cpp.
References itpp::eye_b(), and it_assert.
ITPP_EXPORT bool itpp::qr | ( | const mat & | A, |
mat & | Q, | ||
mat & | R | ||
) |
QR factorisation of real matrix.
The QR factorization of the real matrix
where
Returns true is calculation succeeds. False otherwise. Uses the LAPACK routine DGEQRF and DORGQR.
Definition at line 303 of file qr.cpp.
References it_error.
ITPP_EXPORT bool itpp::qr | ( | const mat & | A, |
mat & | R | ||
) |
QR factorisation of real matrix with suppressed evaluation of Q.
For certain type of applications only the
Modification of qr(A,Q,R).
Definition at line 309 of file qr.cpp.
References it_error.
ITPP_EXPORT bool itpp::qr | ( | const mat & | A, |
mat & | Q, | ||
mat & | R, | ||
bmat & | P | ||
) |
QR factorisation of real matrix with pivoting.
The QR factorization of the real matrix
where
Returns true is calculation succeeds. False otherwise. Uses the LAPACK routines DGEQP3 and DORGQR.
Definition at line 315 of file qr.cpp.
References it_error.
ITPP_EXPORT bool itpp::qr | ( | const cmat & | A, |
cmat & | Q, | ||
cmat & | R | ||
) |
QR factorisation of a complex matrix.
The QR factorization of the complex matrix
where
Returns true is calculation succeeds. False otherwise. Uses the LAPACK routines ZGEQRF and ZUNGQR.
Definition at line 321 of file qr.cpp.
References it_error.
ITPP_EXPORT bool itpp::qr | ( | const cmat & | A, |
cmat & | R | ||
) |
QR factorisation of complex matrix with suppressed evaluation of Q.
For certain type of applications only the
Modification of qr(A,Q,R).
Definition at line 327 of file qr.cpp.
References it_error.
ITPP_EXPORT bool itpp::qr | ( | const cmat & | A, |
cmat & | Q, | ||
cmat & | R, | ||
bmat & | P | ||
) |
QR factorisation of a complex matrix with pivoting.
The QR factorization of the complex matrix
where
Returns true is calculation succeeds. False otherwise. Uses the LAPACK routines ZGEQP3 and ZUNGQR.
Definition at line 333 of file qr.cpp.
References it_error.
ITPP_EXPORT bool itpp::schur | ( | const mat & | A, |
mat & | U, | ||
mat & | T | ||
) |
Schur decomposition of a real matrix.
This function computes the Schur form of a square real matrix
where:
The upper quasi-triangular matrix may have
Uses the LAPACK routine DGEES.
Definition at line 104 of file schur.cpp.
References it_error.
Referenced by itpp::schur(), and itpp::schur().
ITPP_EXPORT mat itpp::schur | ( | const mat & | A | ) |
Schur decomposition of a real matrix.
This function computes the Schur form of a square real matrix
where:
The upper quasi-triangular matrix may have
uses the LAPACK routine DGEES.
Definition at line 119 of file schur.cpp.
References itpp::schur().
ITPP_EXPORT bool itpp::schur | ( | const cmat & | A, |
cmat & | U, | ||
cmat & | T | ||
) |
Schur decomposition of a complex matrix.
This function computes the Schur form of a square complex matrix
where:
Uses the LAPACK routine ZGEES.
Definition at line 111 of file schur.cpp.
References it_error.
ITPP_EXPORT cmat itpp::schur | ( | const cmat & | A | ) |
Schur decomposition of a complex matrix.
This function computes the Schur form of a square complex matrix
where:
Uses the LAPACK routine ZGEES.
Definition at line 127 of file schur.cpp.
References itpp::schur().
ITPP_EXPORT bool itpp::svd | ( | const mat & | A, |
vec & | s | ||
) |
Get singular values s
of a real matrix A
using SVD.
This function calculates singular values
where
where
Definition at line 185 of file svd.cpp.
References it_error.
Referenced by itpp::norm(), itpp::norm(), orth(), itpp::rank(), itpp::svd(), and itpp::svd().
ITPP_EXPORT bool itpp::svd | ( | const cmat & | A, |
vec & | s | ||
) |
Get singular values s
of a complex matrix A
using SVD.
This function calculates singular values
where
where
Definition at line 191 of file svd.cpp.
References it_error.
ITPP_EXPORT vec itpp::svd | ( | const mat & | A | ) |
Return singular values of a real matrix A
using SVD.
This function returns singular values from the SVD decomposition of a real matrix
where
where
Definition at line 211 of file svd.cpp.
References itpp::svd().
ITPP_EXPORT vec itpp::svd | ( | const cmat & | A | ) |
Return singular values of a complex matrix A
using SVD.
This function returns singular values from the SVD decomposition of a complex matrix
where
where
Definition at line 218 of file svd.cpp.
References itpp::svd().
ITPP_EXPORT bool itpp::svd | ( | const mat & | A, |
mat & | U, | ||
vec & | s, | ||
mat & | V | ||
) |
Perform Singular Value Decomposition (SVD) of a real matrix A
.
This function returns two orthonormal matrices
where the elements of
where
Definition at line 197 of file svd.cpp.
References it_error.
ITPP_EXPORT bool itpp::svd | ( | const cmat & | A, |
cmat & | U, | ||
vec & | s, | ||
cmat & | V | ||
) |
Perform Singular Value Decomposition (SVD) of a complex matrix A
.
This function returns two orthonormal matrices
where the elements of
where
Definition at line 203 of file svd.cpp.
References it_error.
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