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Springer Nonlinear Programming and Variational Inequality Problems

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Description

Master the complexities of mathematical optimization with this specialized text from Springer. Part of the Applied Optimization series, this book addresses the relationship between nonlinear programming and variational inequality problems through a unified lens. Many algorithms in this field are scattered across various journals and monographs, often described using different terminology. This book provides a necessary consolidation, helping readers understand and relate different algorithms in an intuitive way. By presenting the Cost Approximation framework, the author offers a structured approach to navigating these mathematical concepts. This resource is designed for researchers and professionals who need to connect disparate algorithmic descriptions into a cohesive understanding. It serves as a vital tool for anyone looking to grasp the underlying connections within the field of applied optimization.

Key Features

Provides a unified approach to understanding nonlinear programming and variational inequality problems.

Consolidates various algorithms found in scattered journals and monographs into one cohesive resource.

Introduces the Cost Approximation framework to organize mathematical algorithmic structures.

Helps readers relate different algorithms to each other through an intuitive methodology.

Part of the Applied Optimization series (Volume 23) for specialized academic study.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
19 November 2010
Listed Since
20 September 2010

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