Addison-Wesley Professional Computing Series
W. Richard Stevens, Stephen A. Rago
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.
W. Richard Stevens, Stephen A. Rago
Roberto Latorre; Francisco López; Antonio E. Martínez
Gert Webelhuth
Dastani, Mehdi; Sirjani, Marjan
Alessandro Cipriani,Maurizio Giri
Allen B. Downey
S. Stoica,L. Trache,R. E. Tribble
Rance Cleaveland (auth.),Jos C. M. Baeten,Sjouke Mauw (eds.)
Allen Downey,Jeffrey Elkner,Chris Meyers
Palani Karthikeyan
Regina S. Burachik,Alfredo N. Iusem (auth.)
Eric Enge, Stephan Spencer, Rand Fishkin, Jessie Stricchiola
John L. Hennessy,David A. Patterson,
Virgil Zeigler-Hill,David K. Marcus (eds.)
Jeffers, Jim;Reinders, James
Gerben Wierda
Alvarado, Enrique; Liu, Zhu; Servis, Michael J.; Krishnamoorthy, Bala; Clark, Aurora Evelyn
Sarah Harris,David Harris
Fernández Candel, Carlos Javier; García Molina, Jesús; Bermúdez Ruiz, Francisco Javier; Hoyos Barceló, Jose Ramón;[...]Sevilla Ruiz, Diego; Cuesta Viera, Benito José
raywenderlich Tutorial Team,Alex Sullivan
David A. Patterson,John L. Hennessy
Yi, Xun (author);Paulet, Russell (author);Bertino, Elisa (author);Varadharajan, Vijay (author)
Carlos Miguel Fernández Soto "nonu iazabo"
Paul Gries,Jennifer Campbell,Jason Montojo
Lewis N.D.
A.V. Aho,Monica S Lam,R. Sethi,Jeffrey D. Ullman
Sarah Harris,David Harris
Josep Call
Peter Morville,Jeffery Callender
David A. Patterson,John L. Hennessy