v1.3.0
INTRODUCTION
ChASE: an Iterative Solver for Dense Eigenproblems
Versions of the library
Licenses and Copyright
References and Contributors
USER DOCUMENTATION
1. Quick Start
2. Installation and Setup on a Cluster
3. How to use ChASE
4. Parameters and Configurations
5. Modules
6. Examples
DEVELOPER DOCUMENTATION
1. General algorithm
2. Virtual Abstract of Numerical Kernels
3. Parallel implementations
ChASE
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ChASE’s Documentation
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ChASE’s Documentation
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INTRODUCTION
ChASE: an Iterative Solver for Dense Eigenproblems
Overview
Algorithm
Use Case and Features
Versions of the library
ChASE-MPI
Licenses and Copyright
References and Contributors
Main developers
Current Contributors
Past Contributors
How to Reference the Code
USER DOCUMENTATION
1. Quick Start
1.1. Getting ChASE
1.2. Dependencies
1.3. Quick Installation and Execution
2. Installation and Setup on a Cluster
2.1. Library Dependencies
2.2. Installation
2.3. Recommendation on the usage of Computing Resources
3. How to use ChASE
3.1. Use ChASE as a standalone solver
3.2. Use ChASE from external applications
3.3. Interface to C/Fortran
4. Parameters and Configurations
4.1. General Parameters
4.2. Chebyshev Filter
4.3. Lanczos DoS (Spectral Estimator)
5. Modules
5.1. Overview
5.2. Basic Classes
5.3. Override of Virtual Functions
6. Examples
6.1. 0. Hello World
6.2. 1. Sequence of Eigenproblems
6.3. 2. Parallel I/O and Configuration
6.4. 3. Installation and Linking
6.5. 4. C/Fortran interface
DEVELOPER DOCUMENTATION
1. General algorithm
1.1. The modified Lanczos for bound estimates
1.2. Orthogonalization and Rayleigh-Ritz
1.3. The Chebyshev filter
1.4. Algorithm optimizations
2. Virtual Abstract of Numerical Kernels
2.1. Benefits
2.2. Definition of Interface
3. Parallel implementations
3.1. ChASE-MPI
Index
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Index