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Springer Nonlinear Interval Optimization for Uncertain Problems

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Description

Advance your understanding of complex engineering mathematics with Nonlinear Interval Optimization for Uncertain Problems. Part of the Springer Tracts in Mechanical Engineering series, this book provides a systematic discussion of nonlinear interval optimization design theory and methods. By applying a mathematical programming theory perspective, the text introduces an innovative mathematical transformation model. This model is designed to handle general nonlinear interval uncertain optimization problems by converting them into simpler, deterministic optimization problems. This approach helps solve the issue of low efficiency often found in traditional methods. Engineers and researchers can utilize this model as a foundation for various interval uncertain optimization algorithms. It is specifically developed for engineering applications, making it a valuable resource for those working with uncertainty in mechanical and technical design processes. This text offers a clear path to managing complex variables through proven mathematical transformations.

Key Features

Provides a systematic discussion of nonlinear interval optimization design theory and methods for advanced engineering research.

Includes an innovative mathematical transformation model to handle general nonlinear interval uncertain optimization problems.

Converts complex interval uncertain optimization problems into simple deterministic optimization problems for easier management.

Serves as a foundation for developing various interval uncertain optimization algorithms used in engineering applications.

Addresses efficiency challenges in optimization by utilizing a mathematical programming theory perspective.

Product Specifications

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

Barcode

No barcode data available

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