Publisher review:CXSparse - A concise sparse matrix package for the book "Direct Methods for Sparse Linear Systems" CXSparse is an extended version of CSparse. It adds support for complex matrices, and for both 32-bit and 64-bit platforms. CSparse only works with real matrices and for 32-bit versions of MATLAB.Functions provided include: add, amd (approximate minimum degree ordering), Cholesky factorization, x=A (using LU, Cholesky, or QR), symbolic analysis, dmperm, etree, matrix-vector multiply (A*x y), upper/lower triangular solves, LU factorization, C=A*B, permute, QR factorization, strongly-connected components, the "sparse" function, transpose, and a rank-1 cholupdate.The package does not include a method for computing the inverse, since this function is so rarely needed and so often abused (x=inv(A)*b is a crime). inv(A) when A is sparse is typically full.In order for CXSparse to work on complex sparse matrices, your C compiler must be ANSI C99 compliant. This is true for gcc (Linux, Unix, and probably the Mac). However, Microsoft does not adhere to the ANSI C99 standard, and thus CXSparse will work only on real matrices on Windows.To install, cd to the CXSparse/MATLAB directory and type "cs_install" in the MATLAB command window. Requirements: ยท MATLAB Release: R2007a
CXSparse is a Matlab script for Mathematics scripts design by Tim Davis.
It runs on following operating system: Windows / Linux / Mac OS / BSD / Solaris.
Operating system:Windows / Linux / Mac OS / BSD / Solaris
CXSparse script details 
