This comprehensive textbook covers both classical and geometric
aspects of optimization using methods, deterministic and stochastic
in a single volume and in a language accessible to
non-mathematicians. It will help serve as an ideal study material
for senior undergraduate and graduate students in the fields of
civil, mechanical, aerospace, electrical, electronics and
communication engineering. The book: Derivative-based Methods of
Optimization Direct Search Methods of Optimization Basics of
Riemannian Differential Geometry Geometric methods of optimization
using Riemannian Langevin Dynamics Stochastic Analysis on Manifolds
and Geometric Optimization Methods This textbook comprehensively
treats both classical and geometric optimization methods, including
deterministic and stochastic (Monte Carlo) schemes. It offers an
extensive coverage of important topics including derivative-based
methods, penalty function methods, method of gradient projection,
evolutionary methods, geometric search using Riemannian Langevin
dynamics and stochastic dynamics on manifolds. The textbook is
accompanied by online resources including MATLAB codes which are
uploaded on our website. The textbook is primarily written for
senior undergraduate and graduate students in all applied science
and engineering disciplines and can be used as main or
supplementary texts for courses on classical and geometric
optimization.
General
Imprint: |
Crc Press
|
Country of origin: |
United Kingdom |
Release date: |
November 2023 |
Authors: |
Debasish Roy
• G. Visweswara Rao
|
Dimensions: |
234 x 156mm (L x W) |
Pages: |
440 |
ISBN-13: |
978-0-367-56016-4 |
Categories: |
Books
|
LSN: |
0-367-56016-X |
Barcode: |
9780367560164 |
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