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slepc4py 3.24.1 documentation

  • Overview
  • Tutorial
  • Installation
  • Citations
  • CHANGES
  • Reference
  • slepc4py demos
  • Overview
  • Tutorial
  • Installation
  • Citations
  • CHANGES
  • Reference
  • slepc4py demos

Section Navigation

  • ex1.py: Standard symmetric eigenproblem for the 1-D Laplacian
  • ex2.py: Standard symmetric eigenproblem for the 2-D Laplacian
  • ex3.py: Matrix-free eigenproblem for the 2-D Laplacian
  • ex4.py: Singular value decomposition of the Lauchli matrix
  • ex5.py: Simple quadratic eigenvalue problem
  • ex6.py: Compute exp(t*A)*v for a matrix from a Markov model
  • ex7.py: Nonlinear eigenproblem with callback functions
  • ex8.py: Nonlinear eigenproblem with split form
  • ex9.py: Generalized symmetric-definite eigenproblem
  • ex10.py: Laplace problem using the Proper Orthogonal Decomposition
  • ex11.py: 2-D Laplacian eigenproblem solved with contour integral
  • ex12.py: Illustrate the use of arbitrary selection
  • ex13.py: Nonlinear eigenproblem with contour integral
  • ex14.py: Lyapunov equation with the shifted 2-D Laplacian
  • slepc4py demos

slepc4py demos#

  • ex1.py: Standard symmetric eigenproblem for the 1-D Laplacian
  • ex2.py: Standard symmetric eigenproblem for the 2-D Laplacian
  • ex3.py: Matrix-free eigenproblem for the 2-D Laplacian
  • ex4.py: Singular value decomposition of the Lauchli matrix
  • ex5.py: Simple quadratic eigenvalue problem
  • ex6.py: Compute exp(t*A)*v for a matrix from a Markov model
  • ex7.py: Nonlinear eigenproblem with callback functions
  • ex8.py: Nonlinear eigenproblem with split form
  • ex9.py: Generalized symmetric-definite eigenproblem
  • ex10.py: Laplace problem using the Proper Orthogonal Decomposition
  • ex11.py: 2-D Laplacian eigenproblem solved with contour integral
  • ex12.py: Illustrate the use of arbitrary selection
  • ex13.py: Nonlinear eigenproblem with contour integral
  • ex14.py: Lyapunov equation with the shifted 2-D Laplacian

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ex1.py: Standard symmetric eigenproblem for the 1-D Laplacian

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