Projects / Armadillo C++ Library / Releases / Feature Enhancements

RSS All releases tagged Feature Enhancements

Release Notes: This release contains faster handling of sparse submatrix views and better code generation when using the Clang C++ compiler. It also contains a workaround for a bug in LAPACK 3.4.

Release Notes: This release adds eigen decompositions of sparse matrices and a MEX connector for interfacing Matlab and Octave with Armadillo matrices. Many decompositions now use faster divide-and-conquer methods by default.

Release Notes: This release adds divide-and-conquer variants of economical SVD and pseudo-inverse functions, element-wise variants of min() and max(), easier specification of submatrix view sizes, and a more precise timer when using C++11.

  •  27 Sep 2013 20:28

Release Notes: This release adds functions for 2D fast Fourier transform and various speedups when using C++11.

  •  12 Aug 2013 11:52

Release Notes: This release has faster multiplication of matrices with their corresponding transposes. It also adds functions for indicating presence of elements satisfying relational conditions.

  •  06 Jun 2013 00:41

Release Notes: This release adds automatic SIMD vectorization (e.g., SSE2) of elementary expressions when using GCC 4.7+ with -O3 optimization. It also adds faster handling of compound expressions with vector transposes, as well as saving of cubes in HDF5 format.

  •  19 Apr 2013 21:48

Release Notes: This release adds the fast Fourier transform, and adds batch insertion constructors for sparse matrices. It also contains better detection of Intel MKL during installation.

Release Notes: The software is now licensed under the Mozilla Public License 2.0. This release adds functions for filling and transforming matrices using functors and C++11 lambda expressions. It also contains fixes for handling non-square matrices by qr() and qr_econ().

Release Notes: This release contains faster handling of submatrices and subcubes. It also expands the functionality of sparse matrices.

Release Notes: This release contains preliminary support for sparse matrices. It also adds economical QR decomposition and faster singular value decomposition.

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