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Understanding computation : from simple machines to impossible programs / Tom Stuart

By: Stuart, Tom [author]Material type: Text

TextPublication details: Sebastopol, CA : O'Reilly Media, c2013Description: x, 317 pages : illustrations ; 23 cmISBN: 9781449329273Subject(s): MATHEMATICS -- DATA PROCESSING | COMPUTATIONAL COMPLEXITY | COMPUTER SCIENCE | RUBY (COMPUTER PROGRAM LANGUAGE) | COMPUTER PROGRAMMING | COMPUTATIONAL COMPLEXITY -- DATA PROCESSING | PROGRAMMING LANGUAGES (ELECTRONIC COMPUTERS)LOC classification: QA 76.6 .S78 2013

Contents:

1. just enough Ruby -- Part 1. Programs and machines -- 2. The meaning of programs -- 3. The simplest computers -- 4. Just add power -- 5. The ultimate machine -- Part 2. Computation and computability -- 6. Programming with nothing -- 7. Universality is everywhere -- 8. Impossible programs -- 9. Programming in Toyland.

Summary: Finally, you can learn computation theory and programming language design in an engaging, practical way. Understanding Computation explains theoretical computer science in a context you’ll recognize, helping you appreciate why these ideas matter and how they can inform your day-to-day programming. Rather than use mathematical notation or an unfamiliar academic programming language like Haskell or Lisp, this book uses Ruby in a reductionist manner to present formal semantics, automata theory, and functional programming with the lambda calculus. It’s ideal for programmers versed in modern languages, with little or no formal training in computer science.

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Item type	Current library	Home library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	LRC - Graduate Studies	National University - Manila	Gen. Ed. - CCIT	General Circulation	GC QA 76.6 .S78 2013 (Browse shelf (Opens below))	c.1	Available		NULIB000009204

Includes index.

Finally, you can learn computation theory and programming language design in an engaging, practical way. Understanding Computation explains theoretical computer science in a context you’ll recognize, helping you appreciate why these ideas matter and how they can inform your day-to-day programming.

Rather than use mathematical notation or an unfamiliar academic programming language like Haskell or Lisp, this book uses Ruby in a reductionist manner to present formal semantics, automata theory, and functional programming with the lambda calculus. It’s ideal for programmers versed in modern languages, with little or no formal training in computer science.

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