Constraint Satisfaction - Fundamentals and Applications
Fouad Sabry
Maison d'édition: One Billion Knowledgeable
Synopsis
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.
