UID:
almahu_9949747535002882
Umfang:
1 online resource
ISBN:
9781040001349
,
1040001343
,
9781003387459
,
1003387454
,
9781040001363
,
104000136X
Serie:
Emerging technologies
Inhalt:
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.
Weitere Ausg.:
Print version: ISBN 1032479612
Weitere Ausg.:
ISBN 9781032479613
Sprache:
Englisch
DOI:
10.1201/9781003387459
URL:
https://www.taylorfrancis.com/books/9781003387459
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