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