An object oriented C++ wrapper for Timothy A. Davis' Cholmod library (part of SuiteSparse). The main purpose of the library is to provide an easy way to use the Cholmod from C++ (without comprimising the performance). The library also has a wrapper for dense vectors (which is accelerated by BLAS).

Usage:

Sparse matrices needs to be initialized and then builded before they can be used. After building a sparse matrices it is possible to change any element used in the initialization, but not element not used in the initialization. Example:

```cpp SparseMatrix A{3,3}; A(0, 0) = 1; A(0, 1) = 1; A(0, 2) = 1; A.build(); A(0, 0) = 2; A(0, 1) = 2; A(0, 2) = 2; A = A * A; ``` The elements of a matrix are accessed using the function operator (unsigned int row, unsigned int column), which can be a bit confusing, but is very easy to use (as can be seen in the example above).

There are not any vector-class - instead matrices of Nx1 can be used (in the constructor column defaults to 1 and in the accessor column defaults to 0):

```cpp SparseMatrix vector{3}; vector(0) = 1; vector(1) = 1; vector(2) = 1; vector.build(); vector(0) = 2; vector(1) = 2; vector(2) = 2; ```

Note that sparse matrices may be slightly faster to update after being build than building a new matrix.

See alse test/object.h

API documentation:

http://mortennobel.github.io/OOCholmod/

License:

GNU LESSER GENERAL PUBLIC LICENSE

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