Exponential Fitting of Matricial Multistep Methods for Ordinary Differential Equations
From MaRDI portal
Publication:4045535
DOI10.2307/2005363zbMath0293.65049OpenAlexW4255064675MaRDI QIDQ4045535
Publication date: 1974
Full work available at URL: https://doi.org/10.2307/2005363
Numerical methods for initial value problems involving ordinary differential equations (65L05) Numerical integration (65D30) Matrix and operator functional equations (39B42)
Related Items
Exponential Fitting of Matricial Multistep Methods for Ordinary Differential Equations ⋮ Dynamic properties of the local linearization method for initial value problems.
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A criterion for A-stability of linear multistep integration formulae
- Numerical solution of ordinary differential equations
- A note on unconditional fixed-h stability of linear multistep formulae
- Convergence and stability in the numerical integration of ordinary differential equations
- Exponential Fitting of Matricial Multistep Methods for Ordinary Differential Equations
- A-stable, Accurate Averaging of Multistep Methods for Stiff Differential Equations
- A note on unconditionally stable linear multistep methods
- A Numerical Integration Technique for Ordinary Differential Equations with Widely Separated Eigenvalues
- Efficient Integration Methods for Stiff Systems of Ordinary Differential Equations
- A stopping criterion for the Newton-Raphson method in implicit multistep integration algorithms for nonlinear systems of ordinary differential equations
- Modified linear multistep methods for a class of stiff ordinary differential equations
- A Predictor-Corrector Method for a Certain Class of Stiff Differential Equations
- Some A-Stable Methods for Stiff Ordinary Differential Equations
- A special stability problem for linear multistep methods
- Integration of Stiff Equations
This page was built for publication: Exponential Fitting of Matricial Multistep Methods for Ordinary Differential Equations