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Benchmarking several methods for computing the inverse of a matrix, including the Eigen library implementation.

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Eigen
Eigen
 
 
.gitignore
.gitignore
 
 
README.md
README.md
 
 
gauss_jordan_algorithm.pdf
gauss_jordan_algorithm.pdf
 
 
lib_gauss.cpp
lib_gauss.cpp
 
 
lib_gauss.hpp
lib_gauss.hpp
 
 
lib_mat.cpp
lib_mat.cpp
 
 
lib_mat.hpp
lib_mat.hpp
 
 
lib_mem.cpp
lib_mem.cpp
 
 
lib_mem.hpp
lib_mem.hpp
 
 
lib_sort.cpp
lib_sort.cpp
 
 
lib_sort.hpp
lib_sort.hpp
 
 
lib_testing.cpp
lib_testing.cpp
 
 
lib_testing.hpp
lib_testing.hpp
 
 
lib_testing_ref.cpp
lib_testing_ref.cpp
 
 
lib_testing_ref.hpp
lib_testing_ref.hpp
 
 
main.cpp
main.cpp
 
 
user_types.hpp
user_types.hpp
 
 

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gauss-benchmark-eigen

Benchmarking several implementations for computing the inverse of a matrix. Two are based on the Gauss-Jordan method, one is based on LU decomposition and the final method uses the Eigen API. Note that there are std 11 features being used.

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Benchmarking several methods for computing the inverse of a matrix, including the Eigen library implementation.

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benchmarking benchmark linear-algebra eigen mathematics gauss-elimination linear-algebra-library gaussian-elimination gaussian-elimination-algorithm gauss-jordan matrix-inversion matrix-inverse

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