Constraint-Based Programming: Solving Complex Problems through Declarative Constraints and Optimization Techniques (Programming Models)
Language: English
Published by Independently published, 2025
- Softcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
AbeBooks seller since March 25, 2015
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In English.
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- Title
- Constraint-Based Programming: Solving Complex Problems through Declarative Constraints and Optimization Techniques (Programming Models)
- Author
- Edet, Theophilus
- Publisher
- Independently published
- Publication year
- 2025
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798310941229
- Item weight
- 858 grams
- Series
- Book 8 of 26: Programming Models
In a world filled with intricate computational challenges, constraint-based programming offers a structured approach to solving problems by defining rules and conditions rather than step-by-step instructions. Constraint-Based Programming: Solving Complex Problems through Declarative Constraints and Optimization Techniques equips developers, researchers, and engineers with the knowledge to harness this declarative paradigm for optimization, scheduling, planning, and artificial intelligence applications.
Explore Three Programming Languages with Strong Constraint-Based SupportThis book provides an in-depth exploration of three programming languages that excel in constraint-based programming:
- Ada – Used in real-time systems and safety-critical applications requiring precise constraints.
- Java – Widely adopted for AI, optimization, and decision-support systems.
- MathCAD – A powerful tool for mathematical modeling and engineering applications.
By understanding how these languages implement constraints, you can develop more efficient and scalable solutions to complex problems.
Constraint-based programming relies on specialized algorithms and data structures to efficiently explore solutions:
- Constraint Satisfaction Problem (CSP) Algorithms – Solve decision problems by enforcing conditions on variable assignments.
- Arc-Consistency Algorithms (AC-3) – Prune search spaces by eliminating inconsistent values early.
- Backtracking with Constraint Propagation – Combine backtracking with inference to accelerate problem-solving.
- Backtracking Trees – Visualize and optimize search paths to find optimal solutions.
These algorithms and structures allow for efficient problem-solving in applications such as scheduling, resource allocation, and combinatorial optimization.
From AI-driven decision-making to real-time scheduling, constraint-based programming is used across industries to tackle highly complex problems. This book provides real-world case studies and practical implementations, demonstrating how to model, analyze, and optimize constraints effectively. Whether you’re developing business rules, optimizing logistics, or building AI systems, this book serves as an essential resource.
Solve Problems Faster and Smarter—Get Your Copy Now!If you're ready to take your problem-solving skills to the next level, Constraint-Based Programming is your ultimate guide. Learn how to leverage constraints, optimize performance, and build intelligent applications. Get your copy now and unlock the potential of declarative constraint-solving!
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Ria Christie Collections
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AbeBooks seller since March 25, 2015
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