Optimization Methods in Mathematical Modeling 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 te...
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| Egile Nagusiak: | , , |
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| Erakunde egilea: | |
| Formatua: | Baliabide elektronikoa eBook |
| Hizkuntza: | ingelesa |
| Argitaratua: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2023.
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| Edizioa: | 1st ed. 2023. |
| Saila: | Mathematical Engineering,
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| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1007/978-3-031-35339-0 |
| Etiketak: |
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| 100 | 1 | |a Vagaská, Alena. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Optimization Methods in Mathematical Modeling of Technological Processes |h [electronic resource] / |c by Alena Vagaská, Miroslav Gombár, Anton Panda. |
| 250 | |a 1st ed. 2023. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2023. | |
| 300 | |a 1 online resource (XVII, 170 p. 37 illus.). |b 20 illus. in color. | ||
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| 490 | 1 | |a Mathematical Engineering, |x 2192-4740 | |
| 505 | 0 | |a 1. Optimization in Historical Context -- 2. Optimization -- 3. Optimization Methods in General -- 4. Selected Methods of Multidimensional Optimization -- 5. Optimization of Technological Processes. | |
| 520 | |a 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. . | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Engineering mathematics. | |
| 650 | 0 | |a Engineering |x Data processing. | |
| 650 | 0 | |a Production engineering. | |
| 650 | 1 | 4 | |a Mathematical and Computational Engineering Applications. |
| 650 | 2 | 4 | |a Process Engineering. |
| 700 | 1 | |a Gombár, Miroslav. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Panda, Anton. |e author. |0 (orcid)0000-0002-1759-7355 |1 https://orcid.org/0000-0002-1759-7355 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
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