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| author | Puneeth Chaganti | 2011-07-28 16:29:35 +0530 |
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| committer | Puneeth Chaganti | 2011-07-28 16:29:35 +0530 |
| commit | cc476c4e86346ca0d92e72cd84efb7d3e90069ac (patch) | |
| tree | bf30136806a6ab2a14c7f855ff2449681132cb3c | |
| parent | 87bb05016eb9bb51c384efe6fafced820f7c723c (diff) | |
| download | st-scripts-cc476c4e86346ca0d92e72cd84efb7d3e90069ac.tar.gz st-scripts-cc476c4e86346ca0d92e72cd84efb7d3e90069ac.tar.bz2 st-scripts-cc476c4e86346ca0d92e72cd84efb7d3e90069ac.zip | |
Minor change to matrices/script.rst.
| -rw-r--r-- | matrices/script.rst | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/matrices/script.rst b/matrices/script.rst index 68eb709..36bc001 100644 --- a/matrices/script.rst +++ b/matrices/script.rst @@ -456,8 +456,8 @@ The eigen values can also be computed using the function ``eigvals()`` as, Now let us learn how to do the singular value decomposition or S V D of a matrix. -Suppose M is an m×n matrix, whose entries come from the field K, which -is either the field of real numbers or the field of complex +Suppose M is an m (cross) n matrix, whose entries come from the field +K, which is either the field of real numbers or the field of complex numbers. Then there exists a factorization of the form M = U\Sigma V star |