We present an algorithm which can be used to find saddle points of non-linear functionals or functions with a large number of variables. The saddle points that can be found have only one unstable direction. The algorithm is tested on a "~" functional and yields the well known circular "critical drop
โฆ LIBER โฆ
Convergence of algorithms for finding saddle points
โ Scribed by E. A. Nurminskii; P. I. Verchenko
- Publisher
- Springer US
- Year
- 1977
- Tongue
- English
- Weight
- 415 KB
- Volume
- 13
- Category
- Article
- ISSN
- 1573-8337
No coin nor oath required. For personal study only.
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In this paper, we introduce and analyze Uzawa algorithms for non-symmetric saddle point systems. Convergence for the algorithms is established based on new spectral results about Schur complements. A new Uzawa type algorithm with optimal relaxation parameters at each new iteration is introduced and