A New Algorithm for Solving Strictly Convex Quadratic Programs-Reference-Cited by-同舟云学术

A New Algorithm for Solving Strictly Convex Quadratic Programs

Published:1997-08 Issue:3 Volume:7 Page:595-619
ISSN:1052-6234
Container-title:SIAM Journal on Optimization
language:en
Short-container-title:SIAM J. Optim.

Author:

Li Wu,Swetits John

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Theoretical Computer Science,Software

Link

http://epubs.siam.org/doi/pdf/10.1137/S1052623493246045

Reference39 articles.

1. D. Bertsekas , Uslovnaya optimizatsiya i metody mnozhitelei Lagranzha, “Radio i Svyazp¸”, 1987, 400–0, Translated from the English by N. V. Tretp¸ yakov; Translation edited and with a preface by E. G. Golp¸ shtei˘ n88j:90181

2. A Globally and Superlinearly Convergent Algorithm for Convex Quadratic Programs with Simple Bbounds

3. A Globally Convergent Augmented Lagrangian Algorithm for Optimization with General Constraints and Simple Bounds

4. The Minimum Sum of Squares Change to Univariate Data that gives Convexity

5. Numerical Methods for Unconstrained Optimization and Nonlinear Equations

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