ナビゲーション
次へ
前へ
|
Scientific Python Lectures
»
2.
Advanced topics
»
2.5.
Sparse Arrays in SciPy
Edit
Improve this page:
Edit it on Github.
2.5.
Sparse Arrays in SciPy
¶
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. 前提条件
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
前のトピックへ
2.4.
コードの最適化
次のトピックへ
2.5.1.
Introduction
このページ
ソースコードを表示
クイック検索
ナビゲーション
次へ
前へ
|
Scientific Python Lectures
»
2.
Advanced topics
»
2.5.
Sparse Arrays in SciPy
Edit
Improve this page:
Edit it on Github.