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Springer Nonlinear Programming & Variational Inequality Problems Unified Approach

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Description

This comprehensive Springer volume consolidates algorithms across nonlinear programming and variational inequality problems into a unified framework called Cost Approximation. Rather than treating these mathematical areas as separate domains, the book reveals how algorithms scattered across journals, monographs and academic literature are deeply interconnected. Designed for professionals and researchers seeking clarity amid algorithmic complexity, this text provides an intuitive approach to understanding relationships between different solution methods. The Cost Approximation framework serves as the unifying lens, helping readers navigate the field with greater coherence and practical insight. Whether you're building optimisation models, solving inequality constraints, or researching advanced mathematical programming techniques, this consolidated approach eliminates redundancy and builds comprehensive understanding across the discipline.

Key Features

Springer publication that consolidates algorithms from nonlinear programming and variational inequality problems into a single unified framework.

Cost Approximation methodology provides an intuitive foundation for understanding how seemingly different algorithms relate to one another across the field.

Comprehensive coverage drawing from numerous journals, monographs and books synthesised into coherent mathematical principles and practical applications.

Essential reference for researchers, mathematicians and professionals working with optimisation problems and constraint satisfaction across applied fields.

Product Specifications

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

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