Mixed Integer Nonlinear Programming

Review of the book
The use of problems with continuous variables and integers along with non-linear relationships between decision variables in operations research literature is known as nonlinear programming with continuous variables and integers. Among the sciences that deal with this type of planning are chemical engineering, operations research, industrial engineering, mechanical engineering, economics, statistics, computers, project management, and project planners. In this book, an attempt is made to provide a detailed review of various integer programming as well as non-linear programming that is widely used in practice.

Table of Contents
The topics covered in this book are:
1- Different convex integer programming, including algorithms and software for solving non-linear convex integer models and the subgradient method for convex quadratic complex integer models
2- Disjunctive programming includes general disjunctive programming and disjunctive cuts for integer non-convex non-linear models.
3- Non-linear programming including quadratic programming solution methods and interior point method for solving complex integer nonlinear models
4- Graph theory including graph applications in optimization algorithms and symmetry in mathematical programming
5- Convex and linearization including the use of piece-by-piece linear functions to solve nonlinear integer models, an algorithmic approach to solve nonlinear integer programming models with separable non-convex functions and global optimization to solve problems Signomial integer programming
6- Constrained optimization with mixed integer variables including quadratic integer programming, freeing constrained quadratic programming and developing constrained integer programming to solve quadratic integer programming
7- Combined optimization includes polynomial equations and inequalities in combined optimization, freeing the matrix in combined optimization, and solving zero and one multiplicative models.
8- The difficulty of optimization problems including the difficulty of non-linear integer programming problems and the theory and applications of n-fold integer programming
9- Applications including non-linear integer programming test functions and application in automotive industries