This paper is concerned with a conjugate gradient method that utilizes a successive set of preconditioner matrices. The method is developed for the solution of min{f (x): x ∈ R n }, where f is a nonlinear function that is sufficiently smooth to possess a Hessian matrix that is continuous. The theory
✦ LIBER ✦
Enhancements of the Han—Powell method for successive quadratic programming
✍ Scribed by Hern-Shann Chen; Mark A. Stadtherr
- Publisher
- Elsevier Science
- Year
- 1984
- Tongue
- English
- Weight
- 635 KB
- Volume
- 8
- Category
- Article
- ISSN
- 0098-1354
No coin nor oath required. For personal study only.
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