ADVANCES ON MATHEMATICAL MODELLING AND OPTIMIZATION WITH APPLICATIONS.
Advances on Mathematical Modeling and Optimization with Its Applications discusses optimization, equality, and inequality constraints and their application in the versatile optimizing domain. It further covers non-linear optimization methods such as global optimization, and gradient-based non-linear...
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| Other Authors: | , , , |
| Format: | eBook |
| Language: | English |
| Published: |
[S.l.] :
CRC PRESS,
2024.
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| Series: | Emerging technologies
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | Advances on Mathematical Modeling and Optimization with Its Applications discusses optimization, equality, and inequality constraints and their application in the versatile optimizing domain. It further covers non-linear optimization methods such as global optimization, and gradient-based non-linear optimization, and their applications. Discusses important topics including multi-component differential equations, geometric partial differential equations, and computational neural systems Covers linear integer programming and network design problems, along with an application of the mixed integer problems Discusses constrained and unconstrained optimization, equality, and inequality constraints, and their application in the versatile optimizing domain Elucidates the application of statistical models, probability models, and transfer learning concepts Showcases the importance of multi-attribute decision modeling in the domain of image processing and soft computing The text is primarily for senior undergraduate and graduate students, and academic researchers in the fields of mathematics, statistics, and computer science. |
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| Physical Description: | 1 online resource |
| ISBN: | 9781040001349 1040001343 9781003387459 1003387454 9781040001363 104000136X |