機器人領域中相關開源庫資料彙總收集
1. 矩陣運算
1.1 係數矩陣計算算法
SuiteSparse是一系列稀疏矩陣運算算法集，主要包含：
•GraphBLAS: graph algorithms in the language of linear algebra
•Mongoose: graph partitioning
•ssget: MATLAB and Java interface to the SuiteSparse Matrix Collection
•UMFPACK: multifrontal LU factorization. Appears as LU and x=A\b in MATLAB.
•CHOLMOD: supernodal Cholesky. Appears as CHOL and x=A\b in MATLAB. Now with CUDA acceleration, in collaboration with NVIDIA.
•SPQR: multifrontal QR. Appears as QR and x=A\b in MATLAB, with CUDA acceleration.
•KLU and BTF: sparse LU factorization, well-suited for circuit simulation.
•Ordering methods (AMD, CAMD, COLAMD, and CCOLAMD). AMD and COLAMD appear in MATLAB.
•CSparse and CXSparse: a concise sparse Cholesky factorization package for my SIAM book.
•spqr_rank: a MATLAB package for reliable sparse rank detection, null set bases, pseudoinverse solutions, and basic solutions.
•Factorize: an object-oriented solver for MATLAB (a reusable backslash).
•SSMULT and SFMULT: sparse matrix multiplication. Appears as the built-in C=A*B operator in MATLAB.
•… and many other packages.
下載地址：http://faculty.cse.tamu.edu/davis/suitesparse.html
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