Mercurial > hg > octave-lyh
changeset 6334:877b80a8dee7
[project @ 2007-02-21 12:30:11 by dbateman]
author | dbateman |
---|---|
date | Wed, 21 Feb 2007 12:30:11 +0000 |
parents | 4e81fe3bceff |
children | de4ae354c831 |
files | doc/ChangeLog doc/interpreter/sparse.txi |
diffstat | 2 files changed, 27 insertions(+), 8 deletions(-) [+] |
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--- a/doc/ChangeLog +++ b/doc/ChangeLog @@ -1,3 +1,8 @@ +2007-02-21 David Bateman <dbateman@free.fr> + + * interpreter/sparse.txi: Add functions sprank and normest to + documentation. + 2007-01-25 John W. Eaton <jwe@octave.org> * interpreter/sparseimages.m: Don't call __gnuplot_x__ functions.
--- a/doc/interpreter/sparse.txi +++ b/doc/interpreter/sparse.txi @@ -1437,8 +1437,8 @@ @emph{Not implemented} @item @ref{matrix_type} Identify the matrix type or mark a matrix as a particular type. -@item normest -@emph{Not implemented} +@item @ref{normest} +Estimates the 2-norm of the matrix @var{a} using a power series analysis. @item @ref{spchol} Compute the Cholesky factor, R, of the symmetric positive definite. @item @ref{spcholinv} @@ -1459,8 +1459,8 @@ Compute the LU decomposition of the sparse matrix A, using subroutines from UMFPACK. @item @ref{spqr} Compute the sparse QR factorization of @var{a}, using CSPARSE. -@item sprank -@emph{Not implemented} +@item @ref{sprank} +Calculates the structural rank of a sparse matrix @var{s}. @item svds @emph{Not implemented} @end table @@ -1550,6 +1550,8 @@ A. * matrix_type:: Identify the matrix type or mark a matrix as a particular type. +* normest:: Estimates the 2-norm of the matrix @var{a} using a power + series analysis. * nnz:: returns number of non zero elements in SM See also: sparse * nonzeros:: Returns a vector of the non-zero values of the sparse matrix S @@ -1598,6 +1600,7 @@ * sprand:: Generate a random sparse matrix. * sprandn:: Generate a random sparse matrix. * sprandsym:: Generate a symmetric random sparse matrix. +* sprank:: Calculates the structural rank of a sparse matrix @var{s}. * spstats:: Return the stats for the non-zero elements of the sparse matrix S COUNT is the number of non-zeros in each column, MEAN is the mean of the non-zeros in each column, and VAR @@ -1668,12 +1671,18 @@ @DOCSTRING(luinc) -@node matrix_type, nnz, luinc, Function Reference +@node matrix_type, normest, luinc, Function Reference @subsubsection matrix_type @DOCSTRING(matrix_type) -@node nnz, nonzeros, matrix_type, Function Reference + +@node normest, nnz, matrix_type, Function Reference +@subsubsection normest + +@DOCSTRING(normest) + +@node nnz, nonzeros, normest, Function Reference @subsubsection nnz @DOCSTRING(nnz) @@ -1833,12 +1842,17 @@ @DOCSTRING(sprandn) -@node sprandsym, spstats, sprandn, Function Reference +@node sprandsym, sprank, sprandn, Function Reference @subsubsection sprandsym @DOCSTRING(sprandsym) -@node spstats, spsum, sprandsym, Function Reference +@node sprank, spstats, sprandsym, Function Reference +@subsubsection sprank + +@DOCSTRING(sprank) + +@node spstats, spsum, sprank, Function Reference @subsubsection spstats @DOCSTRING(spstats)