This book constitutes the proceedings of the 24th International Conference on Principles and Practice of Constraint Programming, CP 2018, held in Lille, France, in August 2018. The 41 full and 9 short papers presented in this volume were carefully reviewed and selected from 114 submissions. They deal with all aspects of computing with constraints including theory, algorithms, environments, languages, models, systems, and applications such as decision making, resource allocation, scheduling, configuration, and planning. The papers were organized according to the following topics/tracks: main technical track; applications track; CP and data science; CP and music; CP and operations research; CP, optimization and power system management; multiagent and parallel CP; and testing and verification.
This comprehensive textbook on the field programmable gate array (FPGA) covers its history, fundamental knowledge, architectures, device technologies, computer-aided design technologies, design tools, examples of application, and future trends. Programmable logic devices represented by FPGAs have been rapidly developed in recent years and have become key electronic devices used in most IT products. This book provides both complete introductions suitable for students and beginners, and high-level techniques useful for engineers and researchers in this field. Differently developed from usual integrated circuits, the FPGA has unique structures, design methodologies, and application techniques. Allowing programming by users, the device can dramatically reduce the rising cost of development in advanced semiconductor chips. The FPGA is now driving the most advanced semiconductor processes and is an all-in-one platform combining memory, CPUs, and various peripheral interfaces. This book introduces the FPGA from various aspects for readers of different levels. Novice learners can acquire a fundamental knowledge of the FPGA, including its history, from Chapter 1; the first half of Chapter 2; and Chapter 4. Professionals who are already familiar with the device will gain a deeper understanding of the structures and design methodologies from Chapters 3 and 5. Chapters 6-8 also provide advanced techniques and cutting-edge applications and trends useful for professionals. Although the first parts are mainly suitable for students, the advanced sections of the book will be valuable for professionals in acquiring an in-depth understanding of the FPGA to maximize the performance of the device.
Extensive treatment of the most up-to-date topics Provides the theory and concepts behind popular and emerging methods Range of topics drawn from Statistics, Computer Science, and Electrical Engineering
For courses in Object-Oriented Design, C++ Intermediate Programming, and Object-Oriented Programming. Written for software engineers ?in the trenches,? this text focuses on the technology?the principles, patterns, and process?that help software engineers effectively manage increasingly complex operating systems and applications. There is also a strong emphasis on the people behind the technology. This text will prepare students for a career in software engineering and serve as an on-going education for software engineers. Features + Benefits Comprehensive, pragmatic tutorial on Agile Development and eXtreme programming written by one of the founding father of Agile Development. Teaches software developers how to get projects done on time, and on budget using the power of Agile Development. Uses real-world case studies to show how to of plan, test, refactor, and pair program using eXtreme programming. Focuses on solving customer oriented systems problems using UML and Design Patterns I. AGILE DEVELOPMENT. 1. Agile Practices. 2. Overview of Extreme Programming. 3. Planning. 4. Testing. 5. Refactoring. 6. A Programming Episode. II. AGILE DESIGN. 7. What Is Agile Design? 8. SRP: The Single-Responsibility Principle. 9. OCP: The Open-Closed Principle. 10. LSP: The Liskov Substitution Principle. 11. DIP: The Dependency-Inversion Principle. 12. ISP: The Interface-Segregation Principle. III. THE PAYROLL CASE STUDY. 13. Command and Active Object. 14. Template Method & Strategy: Inheritance vs. Delegation. 15. Facade and Mediator. 16. Singleton and Monostate. 17. Null Object. 18. The Payroll Case Study: Iteration One Begins. 19. The Payroll Case Study: Implementation. IV. PACKAGING THE PAYROLL SYSTEM. 20. Principles of Package Design. 21. Factory. 22. The Payroll Case Study (Part 2). V. THE WEATHER STATION CASE STUDY. 23. Composite. 24. Observer?Backing into a Pattern. 25. Abstract Server, Adapter, and Bridge. 26. Proxy and Stairway to Heaven: Managing Third Party APIs. 27. Case Study: Weather Station. VI. THE ETS CASE STUDY. 28. Visitor. 29. State. 30. The ETS Framework. Appendix A. UML Notation I: The CGI Example. Appendix B. UML Notation II: The Statmux. Appendix C. A Satire of Two Companies. Index. For courses in Object-Oriented Design, C++ Intermediate Programming, and Object-Oriented Programming. Written for software engineers ´´in the trenches,´´ this text focuses on the technology - the principles, patterns, and process - that help software engineers effectively manage increasingly complex operating systems and applications. There is also a strong emphasis on the people behind the technology. This text will prepare students for a career in software engineering and serve as an on-going education for software engineers.
Teaches readers how to build big data systems using Lambda Architecture, an architecture designed specifically to capture and analyze web-scale data.
This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the ´´data-analytic thinking´´ necessary for extracting useful knowledge and business value from the data you collect. By learning data science principles, you will understand the many data-mining techniques in use today. More importantly, these principles underpin the processes and strategies necessary to solve business problems through data mining techniques. Introduces fundamental concepts of data science necessary for extracting useful information from data mining techniques, including envisioning the problem, applying data science techniques, and deploying results to improve decision making.
Refactoring is about improving the design of existing code. It is the process of changing a software system in such a way that it does not alter the external behavior of the code, yet improves its internal structure. With refactoring you can even take a bad design and rework it into a good one. This book offers a thorough discussion of the principles of refactoring, including where to spot opportunities for refactoring, and how to set up the required tests. There is also a catalog of more than 40 proven refactorings with details as to when and why to use the refactoring, step by step instructions for implementing it, and an example illustrating how it works The book is written using Java as its principle language, but the ideas are applicable to any OO language.
The Service Design phase of the ITIL Service Lifecycle uses business requirements to create services and their supporting practices. This edition updates design principles for applications, infrastructure, processes and resources, as well as sourcing models. Service managers will also find guidance on the engineering of sound requirements, supplier management and design considerations for outsourcing.