
doi: 10.1137/0714080
The numerical stability of the Rayleigh–Ritz method is investigated from the point of view of Mikhlin stability and of the condition number of the Rayleigh–Ritz matrix, and it is shown that the condition number approach is more appropriate for floating-point computation. An a priori and an a posteriori strategy for practical stability control are introduced, and illustrated with numerical examples.
Numerical solution of boundary value problems involving ordinary differential equations, General theory of numerical analysis in abstract spaces
Numerical solution of boundary value problems involving ordinary differential equations, General theory of numerical analysis in abstract spaces
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
