9 edition of **A Course in Computational Algebraic Number Theory (Graduate Texts in Mathematics)** found in the catalog.

- 202 Want to read
- 39 Currently reading

Published
**July 19, 2000**
by Springer
.

Written in English

- Algebra,
- Algebraic number theory,
- Mathematical theory of computation,
- Computer Science,
- Number Theory,
- Programming - Algorithms,
- Algorithms,
- Computer Algebra,
- Factorisation,
- Mathematics / Number Theory,
- Primality,
- Symbolic Computation,
- Mathematics

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

Format | Hardcover |

Number of Pages | 545 |

ID Numbers | |

Open Library | OL9060873M |

ISBN 10 | 3540556400 |

ISBN 10 | 9783540556404 |

Algebraic Number Theory, a Computational Approach by William Stein. PDF version of book (best quality) HTML version of the book (web friendly) Github source of book. This work is licensed under a Creative Commons Attribution-Share Alike License. “This book is intended to provide material for a three-semester sequence, introductory, graduate course in computational algebraic number theory. The book is excellent. The book has 75 sections, making it suitable for a three-semester sequence. There are numerous exercises at all levels /5(3).

Henri Cohen has 35 books on Goodreads with ratings. Henri Cohen’s most popular book is A Course in Computational Algebraic Number Theory. A Course in Computational Algebraic Number Theory December December Read More. Author: The first seven chapters guide readers to the heart of current research in computational algebraic number theory, including recent algorithms for computing class groups and units, as well as elliptic curve computations, while the last three.

E-book download A Course in Computational Algebraic Number Theory (Graduate Texts in Mathematics) Full PDF Online (onalCry5) submitted 6 minutes ago by AdditionalCry5. Reviewed by William McGovern, Professor, University of Washingon on 8/21/ Comprehensiveness rating: 5 see less. As promised by the title, the book gives a very nice overview of a side range of topics in number theory and algebra (primarily the former, but with quite a bit of attention to the latter as well), with special emphasis to the areas in which computational techniques have proved /5(3).

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A Course in Computational Algebraic Number Theory "With numerous advances in mathematics, computer science, and cryptography, algorithmic number theory has become an important subject. Undoubtedly, this book, written by one of the leading authorities in the field, is one of the most beautiful books available on the market."Cited by: A Course in Computational Algebraic Number Theory "With numerous advances in mathematics, computer science, and cryptography, algorithmic number theory has become an important subject.

Undoubtedly, this book, written by one of the leading authorities in the field, is one of the most beautiful books available on the market."Brand: Springer-Verlag Berlin Heidelberg. A course in computational algebraic number theory Henri Cohen One of the first of a new generation of books in mathematics that show the reader how to do large or complex computations using the power of computer algebra.

Algebraic number theory involves using techniques from (mostly commutative) algebra and nite group theory to gain a deeper understanding of the arithmetic of number elds and related objects (e.g., functions elds, elliptic curves, etc.).

The main objects that we study in this book. Each book emphasizes a different area, corresponding to the author's tastes and interests. The most famous, but unfortunately the oldest, is Knuth's Art of Computer Programming, especially Chapter 4.

The present book has two goals. First, to give a reasonably comprehensive introductory course in computational number theory. With the advent of powerful computing tools and numerous advances in math ematics, computer science and cryptography, algorithmic number theory has become an important subject in its own right.

Both external and internal pressures gave a powerful impetus to the development of more powerful al gorithms. These in turn led to a large number of spectacular breakthroughs.5/5(2). A Course A Course in Computational Algebraic Number Theory book Computational Algebraic Number Theory book.

Read reviews from world’s largest community for readers. A description of algorithms fundamen /5(13). A Computational Introduction to Number Theory and Algebra 2nd Edition who already have a background in abstract algebra can benefit greatly from this book by skipping some parts where algebraic theory is introduced.

The suitability of the book for self-study is greatly enhanced by a wealth of exercises and examples that are by: An algebraic number ﬁeld is a ﬁnite extension of Q; an algebraic number is an element of an algebraic number ﬁeld.

Algebraic number theory studies the arithmetic of algebraic number ﬁelds — the ring of integers in the number ﬁeld, the ideals and units in the ring of integers, the extent to which unique factorization holds, and so on.

A Course in Computational Algebraic Number Theory "With numerous advances in mathematics, computer science, and cryptography, algorithmic number theory has become an important subject. Undoubtedly, this book, written by one of the leading authorities in the field, is one of the most beautiful books available on the market."/5(13).

Wagstaff S Computational number theory Algorithms and theory of computation handbook, () Plantard T and Susilo W Recursive lattice reduction Proceedings of the 7th international conference on Security and cryptography for networks, (). This book presents material suitable for an undergraduate course in elementary number theory from a computational perspective.

It seeks to not only introduce students to the standard topics in elementary number theory, such as prime factorization and modular arithmetic, but also to develop their ability to formulate and test precise conjectures from experimental data. Algorithms on Polynomials.- 4.

Algorithms for Algebraic Number Theory I.- 5. Algorithms for Quadratic Fields.- 6. Algorithms for Algebraic Number Theory II.- 7. Introduction to Elliptic Curves.- 8.

Factoring in the Dark Ages.- 9. Modern Primality Tests.- Modern Factoring Methods.- Appendix A. Packages for Number Theory.- Appendix B. Some. A Course in Computational Algebraic Number Theory Henri Cohen A description of algorithms fundamental to number-theoretic computations, in particular for computations related to algebraic number theory, elliptic curves, primality testing and factoring.

Get this from a library. A course in computational algebraic number theory. [Henri Cohen] -- Describes algorithms that are fundamental for number-theoretic computations including computations related to algebraic number theory, elliptic curves, primality testing, and factoring. Regarding literature: One book I can recommend is Henri Cohen "A Course in Computational Algebraic Number Theory" and there is also a follow-up "Advanced Topics in Computational Number Theory".

In this book the author explains, among others, how to solve. This book is intended to provide material for a three-semester sequence, introductory, graduate course in computational algebraic number theory. Chapters 1–6 could also be used as the text for a senior-level two semester undergraduate course.

Computational Number Theory - CRC Press Book Developed from the author’s popular graduate-level course, Computational Number Theory presents a complete treatment of number-theoretic algorithms.

Avoiding advanced algebra, this self-contained text is designed for advanced undergraduate and beginning graduate students in engineering.

This book contains the proceedings of an AMS Short Course in Cryptology and Computational Number Theory, held in August during the Joint Mathematics Meetings in Boulder, Colorado. These eight papers by six of the top experts in the field will provide readers with a thorough introduction to some of the principal advances in cryptology and.

Book Description. Developed from the author’s popular graduate-level course, Computational Number Theory presents a complete treatment of number-theoretic algorithms. Avoiding advanced algebra, this self-contained text is designed for advanced undergraduate and beginning graduate students in.

Synopsis: This book describes algorithms, which are fundamental for number-theoretic computations, in particular for computations related to algebraic number theory, elliptic curves, primality testing, and factoring.

The first seven chapters lead the reader to the heart of current research in computational algebraic number theory, including Price Range: £ - £Requiring no prior experience with number theory or sophisticated algebraic tools, the book covers many computational aspects of number theory and highlights important and interesting engineering applications.

It first builds the foundation of computational number theory by covering the arithmetic of integers and polynomials at a very basic level.This book is a sequel to the author’s earlier work A Course in Computational Algebraic Number Theory which rst appeared inand immediately became the de nitive reference work in the eld, with second and third printings in and