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20 lines
1.1 KiB
Text
20 lines
1.1 KiB
Text
Armadillo is a high quality C++ linear algebra library useful
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for development of algorithms in machine learning, pattern recognition,
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signal processing, bioinformatics, statistics, etc.
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Armadillo makes extensive use of template meta-programming, recursive templates
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and template based function overloading. As such, C++ compilers which do not
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fully implement the C++ standard may not work correctly.
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The functionality of Armadillo is partly dependent on other libraries:
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LAPACK, BLAS and ARPACK. The LAPACK and BLAS libraries are used for
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dense matrices, while the ARPACK library is used for sparse matrices.
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Armadillo can work without these libraries, but its functionality
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will be reduced. In particular, basic functionality will be available
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(eg. matrix addition and multiplication), but things like eigen
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decomposition or matrix inversion will not be. Matrix multiplication
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(mainly for big matrices) may not be as fast.
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As Armadillo is a template library, we recommended that optimisation
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is enabled during compilation of programs that use Armadillo.
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For example, for GCC and Clang compilers use -O2 or -O3
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