| 1."Computational Complexity" by Christos H Papadimitriou
“Computational Complexity” Book Review: The author of this book delves into the fundamental topics of algorithms and complexity. The book provides comprehensive coverage of topics including reductions and NP-completeness, the structural aspects of the P=NP question, cryptography and protocols, randomized algorithms, and optimization problems. The book also covers mathematical prerequisites such as logic, probability, computability, and number theory. The book is self-contained and includes extensive exercises, historical notes, and challenging problems. This makes it an ideal read for computer science undergraduates and researchers who seek a complete understanding of algorithms and complexity.
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| 2."Introduction to the Theory of Computation" by Michael Sipser
“Introduction to the Theory of Computation” Book Review: This book provides a concise and comprehensible explanation of complex computational theory concepts. It seamlessly integrates fundamental mathematical principles of computer hardware, software, and applications with advanced theorems and proofs. The book presents significant classes, such as BPP, L, NC, P, NP, PSPACE, Alternating, exptime, and others, and describes their connections to other complexity classes in an accessible manner. This book is ideal for students and professionals who require the best presentation of automata in the industry.
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| 3."Introduction to Automata, Languages and Computation" by John E Hopcroft and Jeffrey D Ullman
“Introduction to Automata Theory, Languages, and Computation” Book Review: This concise book presents theoretical concepts of formal languages, automata theory, and computational complexity with practical examples. The 3rd edition of this book includes an online assessment tool for computer science, Gradiance. With this tool, teachers can have one-on-one interactions with students and track their progress through syntax and semantics tests. This book is designed for both undergraduate and graduate students with computer science backgrounds.
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| 4."Structural Complexity Vol. I" by J Balcazar
“Structural Complexity Vol. 1” Book Review: This book presents a comprehensive and organized account of the Structural Complexity Theory, which explores the interconnections among all the research lines in complexity theory. The concept of algorithmic complexity, a central area of research, is approached from various perspectives, which are briefly introduced in the book’s Introduction. The author’s focus on the “Structural” approach is also discussed. The book comprises nine chapters, covering various topics such as computation models, time and space complexity, fundamental complexity classes, Turing reductions, non-uniform complexity, probabilistic algorithms, uniform diagonalization, and the polynomial time hierarchy. It is an essential reference for researchers and students interested in complexity theory.
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| 5."Computer Architecture" by John L
“Computer Architecture: A Quantitative Approach” Book Review: This book delves into the access of software and technology in the cloud by various mobile computing devices like cell phones, tablets, and laptops. The book provides two real-world examples in each chapter, one from mobile computing and the other from datacenter, to illustrate the significant transformation occurring in this field. The book discusses crucial aspects like power, performance, cost, dependability, protection, programming models, and emerging trends, accompanied by updated case studies and exercises. The book is a valuable resource for students and practitioners alike, interested in exploring this dynamic and ever-changing field.
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| 6."Computer System Architecture and Organization" by Usha M
“Computer Structure Architecture and Organization” Book Review: This book provides an integrated approach to both hardware and software aspects of computer systems. It offers a thorough analysis of computer architecture, including the internal organization and instruction set architecture (ISA). Specific design aspects are explained with a focus on arithmetic and logical operations, algorithms for performing arithmetic, and performance considerations. The content of this book will be beneficial to practicing design engineers and postgraduate students seeking to enhance their understanding of computer architecture.
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| 7."Pervasive Computing" by Jochen Burkhardt
“Pervasive Computing” Book Review: This book provides an insight into the wide-ranging impact of pervasive computing. It covers important topics such as web application concepts, WAP, voice technology, server-side programming in Java, pervasive web application architecture, device-independent example applications, and accessing the example application via PC, PDA, WAP, and voice. With its focus on the main concepts and practical examples, it is an ideal resource for IT managers, architects, consultants, developers, and students interested in internet and web technologies.
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| 8."Computer Architecture: A Quantitative Approach" by John L Hennessy David A Patterson
“Computer Architecture: A Quantitative Approach” Book Review: This book provides a quantitative analysis of machine design in high-performance desktop, embedded, and server systems. The authors have included examples from a range of domains, including consumer electronics, multimedia, web technologies, and high-performance computing, to illustrate the principles. It covers fundamental techniques for designing machines and optimizing their cost/performance. Each topic is accompanied by worked-out exercises, historical perspectives, fallacies and pitfalls, and applications and examples. This book is an ideal read for students and practitioners interested in machine design and maximizing cost/performance.
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| 9."COMPUTER SYSTEM ARCHITECTURE" by Mano
“Computer System Architecture” Book Review: This book covers computer architecture, organization, and design to provide fundamental knowledge for understanding the operation of digital computer hardware. It covers multiprocessing, pipeline and vector processing, the design, organization, and architecture of CPUs, I/O, and memory, and Reduced Instruction Set Computer (RISC). The book includes worked-out problems and examples, making it ideal for electrical engineers, computer engineers, and computer scientists.
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| 10."Computer Organization and Architecture : Designing for Performance" by William Stallings
“Computer Organization and Architecture: Designing for Performance” Book Review: This book comprehensively covers the topic of computer organization and architecture at all levels, from basic to advanced. It explains the design and organization of hardware, providing a detailed understanding of its structure and internal operations. The content is presented in a well-structured manner, making it easy to understand. The book includes concise text and a variety of exercises, making it a perfect resource for both students and professionals.
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| 11."Computational Complexity and Feasibility of Data Processing and Interval Computations" by Vladik Kreinovich
“Computational Complexity and Feasibility of Data Processing and Interval Computations” Book Review: This book primarily focuses on data processing and is geared towards numerical computation experts and students of applied mathematics. It covers topics such as numerical optimization and algorithms for automatic verification, as well as the computational complexity of numerical computations. General techniques used for estimating computational complexity are also discussed. Real-life examples are provided throughout the book to aid in understanding and implementing the concepts.
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