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author | Charles Harris <charlesr.harris@gmail.com> | 2009-11-14 22:54:45 +0000 |
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committer | Charles Harris <charlesr.harris@gmail.com> | 2009-11-14 22:54:45 +0000 |
commit | 9e082de571f6994355b6cbd9f74ca9e998688780 (patch) | |
tree | bb9cc53feb1eb13ed50c66d1ab45db70e640a5a0 /doc/release/1.4.0-notes.rst | |
parent | 9211df98609ea0348ad51cab611387b8e898a974 (diff) | |
download | numpy-9e082de571f6994355b6cbd9f74ca9e998688780.tar.gz |
Mention the new polynomial and chebyshev modules in the release notes.
Diffstat (limited to 'doc/release/1.4.0-notes.rst')
-rw-r--r-- | doc/release/1.4.0-notes.rst | 19 |
1 files changed, 19 insertions, 0 deletions
diff --git a/doc/release/1.4.0-notes.rst b/doc/release/1.4.0-notes.rst index 78bbc0fea..d561a4f48 100644 --- a/doc/release/1.4.0-notes.rst +++ b/doc/release/1.4.0-notes.rst @@ -51,6 +51,25 @@ iterate over the items in a neighborhood of an array, and can handle boundaries conditions automatically. Zero and one padding are available, as well as arbitrary constant value, mirror and circular padding. +New polynomial support +~~~~~~~~~~~~~~~~~~~~~~ + +New modules chebyshev and polynomial have been added. The new polynomial module +is not compatible with the current polynomial support in numpy, but is much +like the new chebyshev module. The most noticeable difference to most will +be that coefficients are specified from low to high power, that the low +level functions do *not* work with the Chebyshev and Polynomial classes as +arguements, and that the Chebyshev and Polynomial classes include a domain. +Mapping between domains is a linear substitution and the two classes can be +converted one to the other, allowing, for instance, a Chebyshev series in +one domain to be expanded as a polynomial in another domain. The new classes +should generally be used instead of the low level functions, the latter are +provided for those who wish to build their own classes. + +The new modules are not automatically imported into the numpy namespace, +they must be explicitly brought in with an "import numpy.polynomial" +statement. + New C API ~~~~~~~~~ |