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1. |
Record Nr. |
UNINA9910809564203321 |
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Autore |
Alankus Gazihan |
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Titolo |
Advanced C++ : master the technique of confidently writing robust C++ code / / Gazihan Alankus [and four others] |
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Pubbl/distr/stampa |
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Birmingham : , : Packet, , 2019 |
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ISBN |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (762 pages) : illustrations |
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Soggetti |
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C++ (Computer program language) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references. |
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Sommario/riassunto |
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Become an expert at C++ by learning all the key C++ concepts and working through interesting exercises Key Features Explore C++ concepts through descriptive graphics and interactive exercises Learn how to keep your development bug-free with testing and debugging Discover various techniques to optimize your code Book Description C++ is one of the most widely used programming languages and is applied in a variety of domains, right from gaming to graphical user interface (GUI) programming and even operating systems. If you're looking to expand your career opportunities, mastering the advanced features of C++ is key. The book begins with advanced C++ concepts by helping you decipher the sophisticated C++ type system and understand how various stages of compilation convert source code to object code. You'll then learn how to recognize the tools that need to be used in order to control the flow of execution, capture data, and pass data around. By creating small models, you'll even discover how to use advanced lambdas and captures and express common API design patterns in C++. As you cover later chapters, you'll explore ways to optimize your code by learning about memory alignment, cache access, and the time a program takes to run. The concluding chapter will help you to maximize performance by understanding modern CPU branch prediction and how to make your code cache-friendly. By the end of this book, you'll have developed programming skills that will set you apart from other C++ programmers. What you will learn Delve into the |
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anatomy and workflow of C++ Study the pros and cons of different approaches to coding in C++ Test, run, and debug your programs Link object files as a dynamic library Use templates, SFINAE, constexpr if expressions and variadic templates Apply best practice to resource management Who this book is for If you have worked in C++ but want to learn how to make the most of this language, especially for large projects, this book is for you. A general understanding of programming and knowledge of using an editor to produce code files in project directories is a must. Some experience with strongly typed languages, such as C and C++, is also recommended. |
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2. |
Record Nr. |
UNINA9910913794103321 |
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Autore |
Shen Weiran |
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Titolo |
AI-Driven Mechanism Design / / by Weiran Shen, Pingzhong Tang, Song Zuo |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (135 pages) |
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Collana |
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Artificial Intelligence: Foundations, Theory, and Algorithms, , 2365-306X |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Computational intelligence |
Electronic commerce |
Multiagent systems |
Machine learning |
Game theory |
Computational Intelligence |
e-Commerce and e-Business |
Multiagent Systems |
Machine Learning |
Game Theory |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1. Introduction -- Chapter 2. Multi-Dimensional Mechanism Design via AI-Driven Approaches -- Chapter 3. Dynamic Mechanism Design via AI-Driven Approaches -- Chapter 4. Multi-Objective Mechanism Design via AI-Driven Approaches -- Chapter 5. Summary and Future Directions. |
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Sommario/riassunto |
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Due to its huge success in industry, mechanism design has been one of the central research topics at the interface of economics and computer science. However, despite decades of effort, there are still numerous challenges, in terms of both theory and applications. These include the problem of how to design mechanisms for selling multiple items, dynamic auctions, and balancing multiple objectives, given the huge design space and buyer strategy space; and the fact that in practice, the most widely applied auction format (the generalized second price auction) is neither truthful nor optimal. Furthermore, many theoretical results are based upon unrealistic assumptions that do not hold in real applications. This book presents the AI-driven mechanism design framework, which aims to provide an alternative way of dealing with these problems. The framework features two abstract models that interact with each other: the agent model and the mechanism model. By combining AI techniques with mechanism design theory, it solves problems that cannot be solved using tools from either domain alone. For example, it can reduce the mechanism space significantly, build more realistic buyer models, and better balance different objectives. The book focuses on several aspects of mechanism design and demonstrates that the framework is useful in both theoretical analysis and practical applications. |
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