1 edition of **Mathematical Foundations of Computer Science 2002** found in the catalog.

- 327 Want to read
- 11 Currently reading

Published
**2002**
by Springer-Verlag Berlin Heidelberg in Berlin, Heidelberg
.

Written in English

- Computational complexity,
- Computer graphics,
- Discrete Mathematics in Computer Science,
- Information theory,
- Data structures (Computer science),
- Data Structures,
- Computer science,
- Programming Languages, Compilers, Interpreters,
- Theory of Computation

**Edition Notes**

Series | Lecture Notes in Computer Science -- 2420,, Lecture Notes in Computer Science -- 2420, |

Contributions | Rytter, Wojciech |

The Physical Object | |
---|---|

Format | [electronic resource] : |

Pagination | 1 online resource. |

ID Numbers | |

Open Library | OL27073213M |

ISBN 10 | 3540456872 |

ISBN 10 | 9783540456872 |

OCLC/WorldCa | 756535757 |

This text explains how to use mathematical models and methods to analyze prob-lems that arise in computer science. The notion of a proof plays a central role in this work. Simply put, a proof is a method of establishing truth. Like beauty, “truth” some-times depends on the eye of the beholder, and it should not be surprising that what Book Description. This book presents topics from mathematics which are relevant and useful to computer science. This book treats basic topics such as number theory, set theory, functions etc. in a simple way. Each chapter has been planned as independent unit so

Computer science as an academic discipline began in the ’s. Emphasis was on programming languages, compilers, operating systems, and the mathematical theory that supported these areas. Courses in theoretical computer science covered finite automata, regular expressions, context-free languages, and computability. In the ’s, the study of algorithms was added as an Mathematical Foundations of Computer Science explains the fundamental concepts in mathematics. It can be used by the students in computer science as an introduction to the underlying ideas of mathematics for computer science. It explains topics like mathematical logic, predicates, relations, functions, combinatorics, algebraic structures and graph ://

This course covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting /j-mathematics-for-computer-science-fall Mathematical Foundations of Computer Science by Susan Rodger. Publisher: Duke University Description: These lecture notes present an introduction to theoretical computer science including studies of abstract machines, the language hierarchy from regular languages to recursively enumerable languages, noncomputability and complexity › Home.

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