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Optimization methods in mathematical...

Vagaska, Alena.

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Optimization methods in mathematical modeling of technological processes

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Optimization methods in mathematical modeling of technological processes/ by Alena Vagaska, Miroslav Gombar, Anton Panda.
作者:	Vagaska, Alena.
其他作者:	Gombar, Miroslav.
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	xvii, 170 p. :ill. (some col.), digital ;24 cm.
內容註:	1. Optimization in Historical Context -- 2. Optimization -- 3. Optimization Methods in General -- 4. Selected Methods of Multidimensional Optimization -- 5. Optimization of Technological Processes.
Contained By:	Springer Nature eBook
標題:	Mathematical optimization. -
電子資源:	https://doi.org/10.1007/978-3-031-35339-0
ISBN:	9783031353390

Optimization methods in mathematical modeling of technological processes
Vagaska, Alena.

Optimization methods in mathematical modeling of technological processes[electronic resource] /by Alena Vagaska, Miroslav Gombar, Anton Panda. - Cham :Springer Nature Switzerland :2023. - xvii, 170 p. :ill. (some col.), digital ;24 cm. - Mathematical engineering,2192-4740. - Mathematical engineering..

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

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.

ISBN: 9783031353390

Standard No.: 10.1007/978-3-031-35339-0doiSubjects--Topical Terms:

517763
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

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