[SciPy-dev] Type handling of matrices

[Nils Wagner]

Hi all,

Is there something like isspd in scipy -- that is a test for real
symmetric positive definite matrices ?
A Cholesky factorization can be used for this task. If it exists the
matrix is spd.

Nils

I found
 
Type handling
==============
iscomplexobj     --  Test for complex object, scalar result
isrealobj        --  Test for real object, scalar result
iscomplex        --  Test for complex elements, array result
isreal           --  Test for real elements, array result
imag             --  Imaginary part
real             --  Real part
real_if_close    --  Turns complex number with tiny imaginary part to real
isneginf         --  Tests for negative infinity ---|
isposinf         --  Tests for positive infinity    |
isnan            --  Tests for nans                 |----  array results
isinf            --  Tests for infinity             |
isfinite         --  Tests for finite numbers    ---|
isscalar         --  True if argument is a scalar
nan_to_num       --  Replaces NaN's with 0 and infinities with large numbers
cast             --  Dictionary of functions to force cast to each type
common_type      --  Determine the 'minimum common type code' for a group
                       of arrays
mintypecode      --  Return minimal allowed common typecode.