Optimization methods in mathematical modeling of technological processes / Alena Vagask,̀ Miroslav Gombr̀, Anton Panda.

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Optimization methods in mathematical modeling of technological processes / Alena Vagask,̀ Miroslav Gombr̀, Anton Panda.

9783031353390 (electronic bk.)
3031353390 (electronic bk.)
9783031353383
3031353382

Cham : Springer, [2023]

©2023

English

1 online resource (xvii, 170 pages) : illustrations (some color).

10.1007/978-3-031-35339-0 doi

QA402.5

519.6

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. .

Includes bibliographical references.

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Online resource; title from PDF title page (SpringerLink, viewed July 26, 2023).

Mathematical engineering.

Print version: 9783031353383

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