mirror of
https://github.com/triqs/dft_tools
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3fe400d34c
- examples split from the rst file using a python script (split_code). - Final result for the doc is unchanged. - examples are compiled and tested with the other tests. - examples' code have been clang-formatted, with triqs style. - doc compiles much faster, and with the same options as the rest of the test. - examples are added as tests, so they are run by make test, as simple C tests. - done for the tutorials and the reference. - autocompile removed (changed into triqs_example directive). - add triqs_example : - make a literal include of the source code. - runs the compiled example - add, as before, the result to the source code in the doc. - added the script split_code, used to make the changes automatically, maybe for later reuse. (in _tools)
62 lines
1.6 KiB
ReStructuredText
62 lines
1.6 KiB
ReStructuredText
.. highlight:: c
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Linear algebra
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===============================================
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.. warning::
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Doc still largely to be written and updated....
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Several standard linear algebra operations are provided for the matrix and vector.
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Note however that matrix and vector are not the main purpose of this library,
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hence the linear algebra support is less extended than other purely matrix library,
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like e.g. Eigen.
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The computation are done when possible by calling lapack and blas.
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In some important cases (like matrix product), a slow but generic version is also
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provided for type that lapack do not treat (e.g. matrix of int, matrix of custom objects)
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but be aware that these are not optimized for performance and should be used only in
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non critical part of the codes.
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matrix product
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--------------------
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The * operator map the matrix x matrix and matrix x vector product.
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Example : matrix * matrix and * vector ...
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.. triqs_example:: ./blas_lapack_0.cpp
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For types that lapack do not use, a generic version of the matrix product is provided.
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(same syntax, the dispatch is made at compile time depending of the type of the matrices).
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Matrix inversion
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----------------------
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The inverse function return a lazy inverse of any object which has ImmutableMatrix concept
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and can therefore be mixed with any other matrix expression.
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Example : TO BE WRITTEN
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LU decomposition
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----------------------
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Done. doc to be written
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Diagonalization
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-------------------
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Done. doc to be written
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SVD decomposition
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-------------------
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To be done
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Interface with Eigen
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------------------------
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To be implemented. Only possible for when order is known at compile time.
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