✦ LIBER ✦

Successive relaxation method for minimization of functionals and some efficiency estimates

✍ Scribed by I. V. Konnov

Publisher: Springer US
Year: 1988
Tongue: English
Weight: 380 KB
Volume: 41
Category: Article
ISSN: 1573-8795
DOI: 10.1007/bf01098006

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Subgradient method for minimization of c

Subgradient method for minimization of convex functionals and some efficiency bounds

✍ R. F. Khabibullin 📂 Article 📅 1989 🏛 Springer US 🌐 English ⚖ 387 KB

Estimation of optimum relaxation factor

Estimation of optimum relaxation factor for the successive overrelaxation method

✍ Takeo Taniguchi; Naruhito Shiraishi 📂 Article 📅 1984 🏛 Elsevier Science ⚖ 641 KB

Relaxation method for constrained minimi

Relaxation method for constrained minimization of the maximum function

✍ Ya. I. Zabotin; O. A. Kashina 📂 Article 📅 1990 🏛 Springer US 🌐 English ⚖ 399 KB

Subgradient relaxation method for minimi

Subgradient relaxation method for minimization of strictly convex functions

✍ I. Ya. Zabotin; M. I. Kreinin 📂 Article 📅 1990 🏛 Springer US 🌐 English ⚖ 319 KB

Minimization of some non-differentiable

Minimization of some non-differentiable functionals by the Augmented Lagrangian Method of Hestenes and Powell

✍ Michel Fortin 📂 Article 📅 1975 🏛 Springer 🌐 English ⚖ 738 KB

A successive preconditioned conjugate gr

A successive preconditioned conjugate gradient method for the minimization of quadratic and nonlinear functions

✍ K. Davey; M.J. Ward 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 467 KB

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