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Optimization Methods in Mathematical Modeling of Technological Processes

Specificaties
Gebonden, blz. | Engels
Springer Nature Switzerland | e druk, 2023
ISBN13: 9783031353383
Rubricering
Springer Nature Switzerland e druk, 2023 9783031353383
Onderdeel van serie Mathematical Engineering
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

This book focuses on selected methods of applied mathematics that are aimed at mathematical optimization, with an emphasis on their application in engineering practice. It delves into the current mathematical modeling of processes and systems, with a specific focus on the optimization modeling of technological processes. The authors discuss suitable linear, convex, and nonlinear optimization methods for solving problems in engineering practice. Real-world examples and data are used to numerically illustrate the implementation of these methods, utilizing the popular MATLAB software system and its extension to convex optimization. The book covers a wide range of topics, including mathematical modeling, linear programming, convex programming, and nonlinear programming, all with an engineering optimization perspective. It serves as a comprehensive guide for engineers, researchers, and students interested in the practical application of optimization methods in engineering. 

Specificaties

ISBN13:9783031353383
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer Nature Switzerland

Inhoudsopgave

<p>1. Optimization in Historical Context.- 2. Optimization.- 3. Optimization Methods in General.- 4. Selected Methods of Multidimensional Optimization.- 5. Optimization of Technological Processes.</p>

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        Optimization Methods in Mathematical Modeling of Technological Processes