Lagrange-type Functions in Constrained Non-Convex Optimization - Info and Reading Options
By Alexander M. Rubinov and Xiao-Qi Yang
"Lagrange-type Functions in Constrained Non-Convex Optimization" is published by Springer in Nov 22, 2013 - Boston, MA and it has 300 pages.
“Lagrange-type Functions in Constrained Non-Convex Optimization” Metadata:
- Title: ➤ Lagrange-type Functions in Constrained Non-Convex Optimization
- Authors: Alexander M. RubinovXiao-Qi Yang
- Number of Pages: 300
- Publisher: Springer
- Publish Date: Nov 22, 2013
- Publish Location: Boston, MA
“Lagrange-type Functions in Constrained Non-Convex Optimization” Subjects and Themes:
- Subjects: ➤ Lagrangian functions - Programming (mathematics) - Mathematics - Discrete groups - Mathematical optimization - Optimization - Management Science Operations Research - Convex and Discrete Geometry
Edition Specifications:
- Format: paperback
Edition Identifiers:
- The Open Library ID: OL28261738M - OL20870571W
- ISBN-13: 9781461348214 - 9781441991720
- ISBN-10: 1461348218
- All ISBNs: 1461348218 - 9781461348214 - 9781441991720
AI-generated Review of “Lagrange-type Functions in Constrained Non-Convex Optimization”:
"Lagrange-type Functions in Constrained Non-Convex Optimization" Description:
The Open Library:
This volume provides a systematic examination of Lagrange-type functions and augmented Lagrangians. Weak duality, zero duality gap property and the existence of an exact penalty parameter are examined. Weak duality allows one to estimate a global minimum. The zero duality gap property allows one to reduce the constrained optimization problem to a sequence of unconstrained problems, and the existence of an exact penalty parameter allows one to solve only one unconstrained problem. By applying Lagrange-type functions, a zero duality gap property for nonconvex constrained optimization problems is established under a coercive condition. It is shown that the zero duality gap property is equivalent to the lower semi-continuity of a perturbation function.
Open Data:
This volume provides a systematic examination of Lagrange-type functions and augmented Lagrangians. Weak duality, zero duality gap property and the existence of an exact penalty parameter are examined. Weak duality allows one to estimate a global minimum. The zero duality gap property allows one to reduce the constrained optimization problem to a sequence of unconstrained problems, and the existence of an exact penalty parameter allows one to solve only one unconstrained problem. By applying Lagrange-type functions, a zero duality gap property for nonconvex constrained optimization problems is established under a coercive condition. It is shown that the zero duality gap property is equivalent to the lower semi-continuity of a perturbation function
Read “Lagrange-type Functions in Constrained Non-Convex Optimization”:
Read “Lagrange-type Functions in Constrained Non-Convex Optimization” by choosing from the options below.
Search for “Lagrange-type Functions in Constrained Non-Convex Optimization” downloads:
Visit our Downloads Search page to see if downloads are available.
Find “Lagrange-type Functions in Constrained Non-Convex Optimization” in Libraries Near You:
Read or borrow “Lagrange-type Functions in Constrained Non-Convex Optimization” from your local library.
- The WorldCat Libraries Catalog: Find a copy of “Lagrange-type Functions in Constrained Non-Convex Optimization” at a library near you.
Buy “Lagrange-type Functions in Constrained Non-Convex Optimization” online:
Shop for “Lagrange-type Functions in Constrained Non-Convex Optimization” on popular online marketplaces.
- Ebay: New and used books.