Discussion Overview
The discussion revolves around the challenges of solving ill-conditioned linear systems using Mathematica, particularly in the context of simultaneous equations and stress calculations in plates. Participants explore the implications of ill-conditioning on computational methods and the behavior of numerical algorithms as the size of the problem increases.
Discussion Character
- Exploratory, Technical explanation, Debate/contested
Main Points Raised
- One participant describes their experience with ill-conditioned systems starting from m = 9 and n = 9, noting that previous sizes were well-conditioned.
- Another participant asserts that if a matrix is ill-conditioned, Mathematica can only report this condition, emphasizing that the issue lies with the input rather than the software.
- A participant mentions using a state space approach for calculating stresses in plates, indicating that the method involves summing terms and that problems arise with large numbers during this process.
- One reply suggests that blindly adding terms without a convergence criterion can lead to issues, particularly with ill-conditioned matrices, and recommends establishing a criterion to avoid divergence.
Areas of Agreement / Disagreement
Participants express differing views on how to handle ill-conditioning, with some focusing on the limitations of Mathematica and others suggesting methodological improvements. The discussion remains unresolved regarding the best approach to mitigate the effects of ill-conditioning.
Contextual Notes
Limitations include the dependence on the specific definitions of convergence criteria and the potential for divergence in numerical methods when dealing with ill-conditioned matrices. The discussion does not resolve the mathematical steps involved in the proposed methods.