Ah&act--The most popular convex approximation methods used today in structural optimization are discussed in this paper: the convex linearization method (CONLIN), the method of the moving asymptotes (MMA) and the sequential quadratic programming method (SQP). Modifications are made to enhance the re
Approximation accuracy, gradient methods, and error bound for structured convex optimization
β Scribed by Paul Tseng
- Publisher
- Springer-Verlag
- Year
- 2010
- Tongue
- English
- Weight
- 471 KB
- Volume
- 125
- Category
- Article
- ISSN
- 0025-5610
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