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README.md
@@ -19,7 +19,7 @@ EigenPy — Versatile and efficient Python bindings between Numpy and Eigen
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- full support Eigen::Ref avoiding memory allocation
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- full support of the Eigen::Tensor module
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- exposition of the Geometry module of Eigen for easy code prototyping
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-- standard matrix decomposion routines of Eigen such as the Cholesky decomposition (SVD and QR decompositions [can be added](#contributing))
+- standard matrix decomposion routines of Eigen such as the Cholesky, SVD and QR decompositions
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- full support of SWIG objects
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- full support of runtime declaration of Numpy scalar types
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- extended API to expose several STL types and some of their Boost equivalents: `optional` types, `std::pair`, maps, variants...
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