Advances in Mathematics for Engineering Sciences
This book highlights the practical benefits of advanced mathematics through real-world applications in various engineering fields, such as sustainable engineering, innovative algorithms, reliability engineering, systems engineering, and soft computing. It covers essential mathematical models for env...
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| 団体著者: | |
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| その他の著者: | , , |
| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
| 出版事項: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
|
| 版: | 1st ed. 2025. |
| シリーズ: | Mathematical Engineering,
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| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-3-031-95693-5 |
| タグ: |
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| 245 | 1 | 0 | |a Advances in Mathematics for Engineering Sciences |h [electronic resource] / |c edited by Mangey Ram, Shristi Kharola, Akshay Kumar. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2025. | |
| 300 | |a 1 online resource (XIII, 318 p. 154 illus.). |b 145 illus. in color. | ||
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| 505 | 0 | |a 1. Mathematical Models in Sustainable Engineering -- 2. Innovative Algorithms for Engineers -- 3. Stochastic Processes in Reliability Engineering -- 4. Modelling and Applications in Systems Engineering -- 5. Advanced Topics in Soft Computing. | |
| 520 | |a This book highlights the practical benefits of advanced mathematics through real-world applications in various engineering fields, such as sustainable engineering, innovative algorithms, reliability engineering, systems engineering, and soft computing. It covers essential mathematical models for environmental and economic sustainability, cutting-edge algorithms with practical examples, and models in reliability engineering to improve system performance under uncertainty. The systems engineering section explores methods for designing and optimizing complex systems with case studies, while soft computing delves into fuzzy logic, neural networks, and genetic algorithms. Balancing theory with hands-on examples, this book simplifies complex topics and offers innovative solutions to global engineering challenges, making it an accessible guide for those wanting to deepen their understanding of advanced mathematics in engineering. | ||
| 532 | 8 | |a Accessibility summary: This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. 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. Please note that a more accessible version of this eBook is available as ePub. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
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| 650 | 0 | |a Mathematics |x Data processing. | |
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| 700 | 1 | |a Kharola, Shristi. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Kumar, Akshay. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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