Advances on Mathematical Modeling and Optimization with Its Applications (Emerging Technologies)

Synopsis

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.

Copyright:

2024

Book Details

Book Quality:

Publisher Quality

ISBN-13:

9781040001363

Related ISBNs:

9781040001349, 9781032479613, 9781003387459

Publisher:

CRC Press

Date of Addition:

03/28/24

Copyrighted By:

selection and editorial matter, Gunjan Mukherjee, Biswadip Basu Mallik, Rahul Kar, and Aryan Chaudhary

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Mathematics and Statistics

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Gunjan Mukherjee

Edited by:

Biswadip Basu Mallik

Edited by:

Rahul Kar

Edited by:

Aryan Chaudhary