Jump to ratings and reviews
Rate this book

Advances on Mathematical Modeling and Optimization with Its Applications

Rate this book
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, graduate students, and academic researchers in the field of mathematics, statistics, and computer science.

278 pages, Hardcover

Published February 27, 2024

About the author

Ratings & Reviews

What do you think?
Rate this book

Friends & Following

Create a free account to discover what your friends think of this book!

Community Reviews

5 stars
0 (0%)
4 stars
0 (0%)
3 stars
0 (0%)
2 stars
0 (0%)
1 star
0 (0%)
No one has reviewed this book yet.

Can't find what you're looking for?

Get help and learn more about the design.