£100.11

Springer Nonlinear Interval Optimization for Uncertain Problems

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Description

This Springer Tracts in Mechanical Engineering volume systematically explores nonlinear interval optimization design theory and practical methods for engineers and researchers. Using a mathematical programming theory perspective, the book develops an innovative mathematical transformation model that converts complex interval uncertain optimization problems into simpler deterministic optimization problems that are easier to solve. The methodology addresses key efficiency challenges in engineering applications by providing practical algorithms grounded in rigorous mathematical foundations. This resource is essential for professionals working with uncertainty quantification, robust design, and mathematical optimisation in mechanical engineering disciplines.

Key Features

Springer Tracts in Mechanical Engineering series publication providing authoritative coverage of nonlinear interval optimization theory and applications.

Innovative mathematical transformation model converts complex interval uncertain optimization problems into deterministic optimization problems for improved efficiency.

Comprehensive development of interval uncertain optimization algorithms tailored for real-world engineering design and analysis applications.

Systematic presentation of nonlinear interval optimization methods based on established mathematical programming theory foundations.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
10 December 2021
Listed Since
12 November 2021

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