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comparison doc/interpreter/sparse.txi @ 8417:654bcfb937bf

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Add the eigs and svds functions
author David Bateman <dbateman@free.fr>
date Tue, 23 Dec 2008 08:28:23 +0100
parents fa78cb8d8a5c
children cdb4788879b3
comparison
equal deleted inserted replaced
8416:0a56e5c21c29 8417:654bcfb937bf
471 @item Sparse matrix reordering: 471 @item Sparse matrix reordering:
472 @dfn{amd}, @dfn{ccolamd}, @dfn{colamd}, @dfn{colperm}, @dfn{csymamd}, 472 @dfn{amd}, @dfn{ccolamd}, @dfn{colamd}, @dfn{colperm}, @dfn{csymamd},
473 @dfn{dmperm}, @dfn{symamd}, @dfn{randperm}, @dfn{symrcm} 473 @dfn{dmperm}, @dfn{symamd}, @dfn{randperm}, @dfn{symrcm}
474 474
475 @item Linear algebra: 475 @item Linear algebra:
476 @dfn{matrix_type}, @dfn{normest}, @dfn{condest}, @dfn{sprank} 476 @dfn{condest}, @dfn{eigs}, @dfn{matrix_type}, @dfn{normest}, @dfn{sprank},
477 @dfn{spaugment} 477 @dfn{spaugment}, @dfn{svds}
478 @c @dfn{eigs}, @dfn{svds} but these are in octave-forge for now
479 478
480 @item Iterative techniques: 479 @item Iterative techniques:
481 @dfn{luinc}, @dfn{pcg}, @dfn{pcr} 480 @dfn{luinc}, @dfn{pcg}, @dfn{pcr}
482 @c @dfn{bicg}, @dfn{bicgstab}, @dfn{cholinc}, @dfn{cgs}, @dfn{gmres}, 481 @c @dfn{bicg}, @dfn{bicgstab}, @dfn{cholinc}, @dfn{cgs}, @dfn{gmres},
483 @c @dfn{lsqr}, @dfn{minres}, @dfn{qmr}, @dfn{symmlq} 482 @c @dfn{lsqr}, @dfn{minres}, @dfn{qmr}, @dfn{symmlq}
829 828
830 For non square matrices, the user can also utilize the @code{spaugment} 829 For non square matrices, the user can also utilize the @code{spaugment}
831 function to find a least squares solution to a linear equation. 830 function to find a least squares solution to a linear equation.
832 831
833 @DOCSTRING(spaugment) 832 @DOCSTRING(spaugment)
833
834 Finally, the function @code{eigs} can be used to calculate a limited
835 number of eigenvalues and eigenvectors based on a selection criteria
836 and likewise for @code{svds} which calculates a limited number of
837 singular values and vectors.
838
839 @DOCSTRING(eigs)
840
841 @DOCSTRING(svds)
834 842
835 @node Iterative Techniques, Real Life Example, Sparse Linear Algebra, Sparse Matrices 843 @node Iterative Techniques, Real Life Example, Sparse Linear Algebra, Sparse Matrices
836 @section Iterative Techniques applied to sparse matrices 844 @section Iterative Techniques applied to sparse matrices
837 845
838 The left division @code{\} and right division @code{/} operators, 846 The left division @code{\} and right division @code{/} operators,