4d41895019
Many fixes including a gcc10 compilation issue. Full list at https://eigen.tuxfamily.org/index.php?title=ChangeLog#Eigen_3.3.9
24 lines
1.4 KiB
Text
24 lines
1.4 KiB
Text
Eigen 3 is a C++ template library for linear algebra: It is:
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* Versatile. Eigen handles and in a completely integrated way:
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o both fixed-size and dynamic-size matrices and vectors.
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o both dense and sparse matrices and vectors.
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o both plain matrices/vectors and abstract expressions.
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o both column-major (the default) and row-major matrix storage.
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o both basic matrix/vector manipulation and many more advanced, specialized
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modules providing algorithms for linear algebra, geometry, quaternions,
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or advanced array manipulation.
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* Fast.
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o Expression templates allow to intelligently remove temporaries and enable
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lazy evaluation, when that is appropriate.
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o Explicit vectorization is performed for the SSE (2 and later) and AltiVec
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instruction sets, with graceful fallback to non-vectorized code.
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o With fixed-size objects, dynamic memory allocation is avoided, and the
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loops are unrolled when that makes sense.
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o For large matrices, special attention is paid to cache-friendliness.
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* Elegant. The API is extremely clean and expressive, thanks to expression
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templates. Implementing an algorithm on top of Eigen feels like just copying
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pseudocode. You can use complex expressions and still rely on Eigen to
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produce optimized code: there is no need for you to manually decompose
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expressions into small steps.
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* Compiler-friendy. Eigen has good compiler support, is standard C++98 and
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maintains very reasonable compilation times.
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