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2.5.
Sparse Arrays in SciPy
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2.5.
Sparse Arrays in SciPy
ΒΆ
Author
:
Robert Cimrman
2.5.1. Introduction
2.5.1.1. Why Sparse Matrices?
2.5.1.2. Sparse Matrices vs. Sparse Matrix Storage Schemes
2.5.1.3. Typical Applications
2.5.1.4. Prerequisites
2.5.1.5. Sparsity Structure Visualization
2.5.2. Storage Schemes
2.5.2.1. Common Methods
2.5.2.2. Sparse Array Classes
Diagonal Format (DIA)
List of Lists Format (LIL)
Dictionary of Keys Format (DOK)
Coordinate Format (COO)
Compressed Sparse Row Format (CSR)
Compressed Sparse Column Format (CSC)
Block Compressed Row Format (BSR)
2.5.2.3. Summary
2.5.3. Linear System Solvers
2.5.3.1. Sparse Direct Solvers
Examples
2.5.3.2. Iterative Solvers
Common Parameters
LinearOperator Class
A Few Notes on Preconditioning
2.5.3.3. Eigenvalue Problem Solvers
The
eigen
module
2.5.4. Other Interesting Packages
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2.4.
Optimizing code
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Sparse Arrays in SciPy
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