June 2018
Intermediate to advanced
248 pages
5h 27m
English
Content preview from Mastering Numerical Computing with NumPy
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Working with sparse linear systems
You won't always work with dense matrices, and when you need to work with sparse matrices, there are libraries that will help you to optimize sparse matrix operations. Even though these might not have Python APIs, you may need to utilize them by using other programming languages, such as C and C++:
- Hypre: Contains preconditioners and solvers to deal with sparse linear systems of equations utilizing parallel implementations.
- SuperLU: Deals with large, sparse, nonsymmetric systems of linear equations.
- UMFPACK: Solves sparse linear systems.
- CUSP: Open source library for sparse linear algebra and graph computations with parallel implementations. By using CUSP, you can access computational resources provided ...
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