Advances on Mathematical Modeling and Optimization with Its 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 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.

1144161522
Advances on Mathematical Modeling and Optimization with Its 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 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.

130.0 In Stock
Advances on Mathematical Modeling and Optimization with Its Applications

Advances on Mathematical Modeling and Optimization with Its Applications

Advances on Mathematical Modeling and Optimization with Its Applications

Advances on Mathematical Modeling and Optimization with Its Applications

Hardcover

$130.00 
  • SHIP THIS ITEM
    In stock. Ships in 1-2 days.
  • PICK UP IN STORE

    Your local store may have stock of this item.

Related collections and offers


Overview

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.


Product Details

ISBN-13: 9781032479613
Publisher: CRC Press
Publication date: 03/28/2024
Series: Emerging Technologies
Pages: 278
Product dimensions: 7.00(w) x 10.00(h) x (d)
From the B&N Reads Blog

Customer Reviews