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This Textbook Is Designed For Undergraduate Course In Compiler Construction For Computer Science And Engineering/Information Technology Students. The Book Presents The Concepts In A Clear And Concise Manner And Simple Language. The Book Discusses Design Issues For Phases Of Compiler In Substantial Depth. The Stress Is More On Problem Solving. The Solution To Substantial Number Of Unsolved Problems From Other Standard Textbooks Is Given. The Students Preparing For Gate Will Also Get Benefit From This Text, For Them Objective Type Questions Are Also Given. The Text Can Be Used For Laboratory In Compiler Construction Course, Because How To Use The Tools Lex And Yacc Is Also Discussed In Enough Detail, With Suitable Examples.
This book covers the various aspects of designing a language translator in depth. It includes some exercises for practice.
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Theory of Computation offers comprehensive coverage of one of the most important subjects in the study of engineering and MCA. This book gives a detailed analysis of the working of different sets of models developed by computer scientists regarding computers and programs. It uses simple language and a systematic approach to explain the concepts, which are often considered rather difficult by students. A number of solved programs will further help the students in assimilating understanding of this important subject. A thorough perusal of this book will ensure success for students in the semester examinations. Key Features • In-depth analysis of different computational methods • Large number of solved programs for hands-on practice • Thorough coverage of additional and latest computational methods
About the Book: Principles of DATA STRUCTURES using C and C++ covers all the fundamental topics to give a better understanding about the subject. The study of data structures is essential to every one who comes across with computer science. This book is written in accordance with the revised syllabus for B. Tech./B.E. (both Computer Science and Electronics branches) and MCA. students of Kerala University, MG University, Calicut University, CUSAT Cochin (deemed) University. NIT Calicut (deemed) University, Anna University, UP Technical University, Amritha Viswa (deemed) Vidyapeeth, Karunya (dee.
A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.
A compiler translates a high-level language program into a functionally equivalent low-level language program that can be understood and executed by the computer. Crucial to any computer system, effective compiler design is also one of the most complex areas of system development. Before any code for a modern compiler is even written, many students and even experienced programmers have difficulty with the high-level algorithms that will be necessary for the compiler to function. Written with this in mind, Algorithms for Compiler Design teaches the fundamental algorithms that underlie modern compilers. The book focuses on the "front-end" of compiler design: lexical analysis, parsing, and syntax. Blending theory with practical examples throughout, the book presents these difficult topics clearly and thoroughly. The final chapters on code generation and optimization complete a solid foundation for learning the broader requirements of an entire compiler design.
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the fir...