This book focuses on solving optimization problems with MATLAB. Descriptions and solutions of nonlinear equations of any form are studied first. Focuses are made on the solutions of various types of optimization problems, including unconstrained and constrained optimizations, mixed integer, multiobjective and dynamic programming problems. Comparative studies and conclusions on intelligent global solvers are also provided.
| ISBN: | 9783110663648 |
| Publication date: | 6th April 2020 |
| Author: | Dingyü Xue |
| Publisher: | De Gruyter |
| Format: | Paperback |
| Pagination: | 342 pages |
| Series: | De Gruyter Stem |
| Genres: |
Applied mathematics Impact of science and technology on society Computer programming / software engineering Mathematical theory of computation Computer modelling and simulation |
This book focuses on solving optimization problems with MATLAB. Descriptions and solutions of nonlinear equations of any form are studied first. Focuses are made on the solutions of various types of optimization problems, including unconstrained and constrained optimizations, mixed integer, multiobjective and dynamic programming problems. Comparative studies and conclusions on intelligent global solvers are also provided.
Solving Optimization Problems With Matlab features in the following genres: Applied mathematics, Impact of science and technology on society, Computer programming / software engineering, Mathematical theory of computation, Computer modelling and simulation
Solving Optimization Problems With Matlab is available in Paperback
Solving Optimization Problems With Matlab was written by Dingyü Xue and published by De Gruyter
Solving Optimization Problems With Matlab has 342 pages
Yes it is part of De Gruyter Stem series
£60.75