Constraint Satisfaction: Fundamentals and Applications

What Is Constraint Satisfaction

In artificial intelligence and operations research, the process of finding a solution through a set of constraints that impose conditions that the variables must satisfy is referred to as constraint satisfaction. Therefore, a solution is a collection of values for the variables that fulfills all of the constraints; more specifically, a solution is a point in the feasible region.

How You Will Benefit

(I) Insights, and validations about the following topics:

Chapter 1: Constraint satisfaction

Chapter 2: Boolean satisfiability problem

Chapter 3: Search algorithm

Chapter 4: Mathematical optimization

Chapter 5: Constraint programming

Chapter 6: Constraint satisfaction problem

Chapter 7: Backtracking

Chapter 8: 2-satisfiability

Chapter 9: Nonlinear programming

Chapter 10: WalkSAT

(II) Answering the public top questions about constraint satisfaction.

(III) Real world examples for the usage of constraint satisfaction in many fields.

(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of constraint satisfaction' technologies.

Who This Book Is For

Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of constraint satisfaction.