Splitting methods are used to solve most of the linear systems, Ax = b, when the conventional method of Gauss is not efficient. These methods use the factorization of the square matrix A into two matrices M and N as A = M -N where M is nonsingular. Basic iterative methods such as Jacobi or Gauss-Sei
The Wronskian of discrete methods in linear systems
β Scribed by S. Stuckenbruck
- Publisher
- Springer
- Year
- 1983
- Tongue
- English
- Weight
- 479 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0022-0833
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β¦ Synopsis
In the past decade it has beensuggested that the use of superposition of particular solutions technique may be employed to solve linear systems with considerable programming advantage over the more widely used method of superposition of homogeneous and particular solutions, when solving numerically multipoint boundary-value problems. The present article on analytical expression for the diseretization errors of the Wronskian, induced by the discretization errors of the particular solutions, is found for linear systems of ordinary differential equations when single-step methods of numerical integration of the Runge-Kutta type are used. It is shown that the analysis of this error can, in some cases, give useful information in the estimation of optimum integration step size in the sense that minimum errors, discretization plus round-off, are attained during integration.
π SIMILAR VOLUMES
Vibrations of continuous systems are modelled in the form of a partial differential equation system. In seeking approximate analytical solutions of these systems, one common choice is to discretize the partial differential equation system and then to apply perturbation methods to the resulting ordin