
Fundamentals of Optimization Techniques with Algorithms
Description
Key Features
- Presents optimization techniques clearly, including worked-out examples, from traditional to advanced
- Maps out the relations between optimization and other mathematical topics and disciplines
- Provides systematic coverage of algorithms to facilitate computer coding
- Gives MATLAB© codes in relation to optimization techniques and their use in computer-aided design
- Presents nature-inspired optimization techniques including genetic algorithms and artificial neural networks
Readership
Researchers and postgraduate students in mechanical engineering, electrical engineering, electronics, computer science, aerospace engineering, and related fields; Researchers and postgraduate students in mathematics; applied mathematics; and industrial mathematics
Table of Contents
- 1. Introduction to optimization
2. Linear programming
3. Single-variable nonlinear optimization
4. Multivariable unconstrained nonlinear optimization
5. Multivariable constrained nonlinear optimization
6. Geometric programming
7. Dynamic programming
8. Integer programming
9. Multiobjective optimization
10. Nature-inspired optimization
Product details
- No. of pages: 320
- Language: English
- Copyright: © Academic Press 2020
- Published: August 25, 2020
- Imprint: Academic Press
- Paperback ISBN: 9780128211267
- eBook ISBN: 9780128224922
About the Author
Sukanta Nayak
Affiliations and Expertise
Ratings and Reviews
Latest reviews
(Total rating for all reviews)
Upendra U. Fri May 20 2022
Nice
Hmmm
Ajay H. Fri May 20 2022
Being
Use ful
L P. Thu May 19 2022
Awesome
Author of the book used best way to make users understand easily.
Na p. Thu May 19 2022
Atluntadhi ee book tho
Emnna book ra ayya