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2.5. Sparse Matrices in SciPyΒΆ

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 Matrix 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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