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A Predictor-Corrector Method for a Certain Class of Stiff Differential Equations
| Content Provider | Scilit |
|---|---|
| Author | Guderley, Karl G. Hsu, Chen-Chi |
| Copyright Year | 1972 |
| Description | In stiff systems of linear ordinary differential equations, certain elements of the matrix describing the system are very large. Sometimes, e.g., in treating partial differential equations, the problem can be formulated in such a manner that large elements appear only in the main diagonal. Then the elements causing stiffness can be taken into account analytically. This is the basis of the predictor-corrector method presented here. The truncation error can be estimated in terms of the difference between predicted and corrected values in nearly the same manner as for the customary predictor-corrector method. The question of stability, which is crucial for stiff equations, is first studied for a single equation; as expected, the method is much more stable than the usual predictor- corrector method. For systems of equations, sufficient conditions for stability are derived which require less work than a detailed stability analysis. The main tool is a matrix norm which is consistent with a weighted infinity vector norm. The choice of the weights is critical. Their determination leads to the question whether a certain matrix has a positive inverse. |
| Related Links | https://www.ams.org/mcom/1972-26-117/S0025-5718-1972-0298952-7/S0025-5718-1972-0298952-7.pdf |
| Ending Page | 69 |
| Page Count | 19 |
| Starting Page | 51 |
| ISSN | 00255718 |
| e-ISSN | 10886842 |
| DOI | 10.2307/2004718 |
| Journal | Mathematics of Computation |
| Issue Number | 117 |
| Volume Number | 26 |
| Language | English |
| Publisher | Duke University Press |
| Publisher Date | 1972-01-01 |
| Access Restriction | Open |
| Subject Keyword | Mechanical Engineering Stiff Differential Equations Stability Differential Equation Predictor Corrector Method |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Algebra and Number Theory Computational Mathematics |
