The Art of Multiprocessor Programming, Revised Reprint
Maurice Herlihy,Nir Shavit
Discover references
Explore the vast and dynamic world of Computer Science and Theory, a cornerstone of innovation and technology in today's digital age.
Computer Science is an ever-evolving field that combines theoretical foundations with practical problem-solving. This category covers a wide array of topics, ranging from the fundamental principles of computation to advanced algorithms and data structures. Whether you are a beginner looking to understand the basics or an expert seeking deeper knowledge, our extensive collection of books in this category caters to every level of interest and expertise.
Algorithms and data structures are the heart of computer science, enabling efficient data processing and solution design. By exploring these essential topics, you'll learn how to design, analyze, and implement effective algorithms. Our books cover a range of concepts, from sorting and searching to graph algorithms and dynamic programming.
This area focuses on the theoretical underpinnings of computation, including automata theory, formal languages, and complexity theory. Understanding these concepts is crucial for appreciating the limits of what can be computed and provides insight into the development of new computational models and paradigms.
Programming languages are the medium through which computational logic is expressed. Explore the design and functionality of various programming languages, their syntax, semantics, and applications. Discover books that delve into language theory, compiler design, and language paradigms such as procedural, object-oriented, and functional programming.
Artificial Intelligence (AI) and Machine Learning (ML) are rapidly transforming industries and societies. Our selection includes comprehensive resources on the principles of AI, the design of intelligent systems, and hands-on guides for applying machine learning techniques to solve real-world problems. Learn about neural networks, natural language processing, and reinforcement learning.
Engaging with the Computer Science and Theory category offers numerous benefits, whether you're a student, researcher, or professional:
This category is ideal for:
The Computer Science and Theory category at Refhub.ir is more than a collection of books—it's a gateway to understanding and innovation in the digital era.
As technology continues to evolve, staying informed and educated in computer science is imperative. This category not only provides resources for foundational learning but also offers advanced knowledge for those ready to push the boundaries of what computing can achieve. Dive into our comprehensive offerings and discover the endless possibilities within the world of Computer Science and Theory.
Maurice Herlihy,Nir Shavit
Lee A. Segel,Irun R. Cohen
Jesús Rogel-Salazar
Huihui Bai,Anhong Wang,Yao Zhao,Jeng-Shyang Pan,Ajith Abraham (auth.)
Nathan J. Emery,Nicola S. Clayton (auth.),Lesley J. Rogers,Gisela Kaplan (eds.)
Harnie, Dries; Saey, Mathijs; Vapirev, Alexander E.; Wegner, Jörg Kurt; Gedich, Andrey; Steijaert, Marvin;[...]Ceulemans, Hugo; Wuyts, Roel; De Meuter, Wolfgang
Hedy Attouch;Giuseppe Buttazzo;Gérard Michaille
David Harris,Sarah Harris
Colette Rolland (auth.),Sourav S. Bhowmick,Josef Küng,Roland Wagner (eds.)
Marek Karpinski (auth.),Gabriel Ciobanu,Gheorghe Păun (eds.)
Brendon Cahoon; Kathryn S. McKinley
Robert E. Clark,Stephen Martin
Terrance Swift (auth.),Salvador Abreu,Dietmar Seipel (eds.)
Galli,Doreen L.
Massimo Pigliucci,Katherine Preston
Richard Lawson
William Stallings
Chen, Thomas M.;Rajan, Dinesh;Serpedin, Erchin
Paul A. Alberto;Anne C. Troutman
Richard Bird,Jeremy Gibbons (auth.),Johan Jeuring,Simon L. Peyton Jones (eds.)
Guillermo Sapiro
Moya, Xavier;Munoz-Rojas, David
C J Date;Hugh Darwen;Nikos Lorentzos
Edward P. Sarafino
Ryan Mitchell