• Title: Foundations of Computation
• Authors Carol Critchlow, David Eck
• Publisher: Hobart and William Smith Colleges (2011)
• Lic ense(s): Creative Commons Attribution-Noncommercial-ShareAlike 4.0 License
• Paperback: N/A
• eBook: HTML and PDF (256 pages, 1.7 MB)
• Language: English
• ISBN-10: N/A
• ISBN-13: N/A
• Share This:  

Book Description

This is a textbook for a one-semester course in theoretical computer science. The course has no prerequisites other than introductory computer programming. The first half of the course covers material on logic, sets, and functions that would often be taught in a course in discrete mathematics. The second part covers material on automata, formal languages, and grammar that would ordinarily be encountered in an upper level course in theoretical computer science.

• N/A

• Amazon

• Introduction to Computer Science
• Theory of Computation
• Mathematical Logic - Set Theory, Model Theory, Computability, etc
• Theory of Programming Languages

• Foundations of Computation (Carol Critchlow, et al)
• The Mirror Site (1) - PDF

• Models of Computation: Exploring the Power of Computing

  It covers the traditional topics of formal languages, automata and complexity classes, as well as an introduction to the more modern topics of space-time tradeoffs, memory hierarchies, parallel computation, the VLSI model, and circuit complexity.

• Mathematics and Computation (Avi Wigderson)

  This book provides a broad, conceptual overview of computational complexity theory - the mathematical study of efficient computation. With important practical applications to computer science and industry, computational complexity theory, etc.

• Introduction to Computing: Language, Logic, and Machines

  This book focuses on how to describe information processes by defining procedures, how to analyze the costs required to carry out a procedure, and the fundamental limits of what can and cannot be computed mechanically.

• Soft Computing: Techniques in Engineering Sciences

  Soft Computing is used where a complex problem is not adequately specified for the use of conventional math and computer techniques. This book elaborates on the most recent applications of Soft Computing in various fields of engineering.

• Quantum Computing: Progress and Prospects

  Provides an introduction to the Quantum Computing, including the unique characteristics and constraints of the technology, and assesses the feasibility and implications of creating a functional quantum computer capable of addressing real-world problems.

• Theory of Computation, Making Connections (Jim Hefferon)

  The book is geared toward those who thirst for computation theory knowledge. To cater to the demands of a wide range of people, the principles in this book are explained in a way that is easy to understand, digest and apply in the upcoming career.

• Introduction to Theory of Computation (Anil Maheshwari, et al)

  This is a textbook on formal languages, automata theory, and computational complexity. This text strikes a good balance between rigor and an intuitive approach to computer theory.

• Computing Fundamentals: Theory and Practice of Software Design

  The book introduces the reader to computer programming, i.e. algorithms and data structures. It covers many new programming concepts that have emerged in recent years including object-oriented programming and design patterns.

• Matters Computational: Ideas, Algorithms, Source Code

  This book provides algorithms and ideas for computationalists, whether a working programmer or anyone interested in methods of computation. The implementations are done in C++ and the GP language, written for POSIX-compliant platforms.

• Introduction to Theory of Computation (Eitan M. Gurari)

  This book explores some of the more important terminologies and questions concerning programs, computers, problems, and computation. The exploration reduces in many cases to a study of mathematical theories, such as those of automata and formal languages; theories that are interesting also in their own right.