Decomposition Techniques in Mathematical Programming

Review of the book
This book has the following features:
1- There is a good combination of theory and application in this book.
2- A large number of examples and visual expressions of topics are included in the book.
3- The applications of electrical, mechanical, energy and civil engineering are expressed along with applied mathematics.
4- Practical applications of presented algorithms
5- This book contains exercises at the end of the chapter, and in section 6, exercises with even numbers are given to solve them.
6- This book presents analysis method for linear programming, mixed integer programming, nonlinear programming and integer nonlinear programming.

Table of Contents
The topics discussed in this book are as follows:
1- Important examples in linear, non-linear and integer programming
2- Linear programming for complex constraints
3- Linear programming for complex variables
4- duality theory
5- Decomposition method for nonlinear programming
6- Complex integer programming decomposition method
7- Other decomposition methods
8- Sensitivity analysis method
9- Industrial applications of linear, non-linear and integer programming
10- Examples of programs written in GAMS