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Introduction to algebraic geometry /

Hassett, Brendan,

Introduction to algebraic geometry /

纪录类型:	书目-语言数据,印刷品 : Monograph/item
[NT 15000414] null:	516.35
[NT 47271] Title/Author:	Introduction to algebraic geometry // Brendan Hassett.
作者:	Hassett, Brendan,
面页册数:	1 online resource (xii, 252 pages) : : digital, PDF file(s).
附注:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
标题:	Geometry, Algebraic.
ISBN:	9780511755224 (ebook)
[NT 15000229] null:	Algebraic geometry, central to pure mathematics, has important applications in such fields as engineering, computer science, statistics and computational biology, which exploit the computational algorithms that the theory provides. Users get the full benefit, however, when they know something of the underlying theory, as well as basic procedures and facts. This book is a systematic introduction to the central concepts of algebraic geometry most useful for computation. Written for advanced undergraduate and graduate students in mathematics and researchers in application areas, it focuses on specific examples and restricts development of formalism to what is needed to address these examples. In particular, it introduces the notion of Gröbner bases early on and develops algorithms for almost everything covered. It is based on courses given over the past five years in a large interdisciplinary programme in computational algebraic geometry at Rice University, spanning mathematics, computer science, biomathematics and bioinformatics.
电子资源:	http://dx.doi.org/10.1017/CBO9780511755224

Introduction to algebraic geometry /
Hassett, Brendan,

Introduction to algebraic geometry /Brendan Hassett. - 1 online resource (xii, 252 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Algebraic geometry, central to pure mathematics, has important applications in such fields as engineering, computer science, statistics and computational biology, which exploit the computational algorithms that the theory provides. Users get the full benefit, however, when they know something of the underlying theory, as well as basic procedures and facts. This book is a systematic introduction to the central concepts of algebraic geometry most useful for computation. Written for advanced undergraduate and graduate students in mathematics and researchers in application areas, it focuses on specific examples and restricts development of formalism to what is needed to address these examples. In particular, it introduces the notion of Gröbner bases early on and develops algorithms for almost everything covered. It is based on courses given over the past five years in a large interdisciplinary programme in computational algebraic geometry at Rice University, spanning mathematics, computer science, biomathematics and bioinformatics.

ISBN: 9780511755224 (ebook)Subjects--Topical Terms:

433494
Geometry, Algebraic.

LC Class. No.: QA564 / .H256 2007

Dewey Class. No.: 516.35

Introduction to algebraic geometry /
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500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
520 $a Algebraic geometry, central to pure mathematics, has important applications in such fields as engineering, computer science, statistics and computational biology, which exploit the computational algorithms that the theory provides. Users get the full benefit, however, when they know something of the underlying theory, as well as basic procedures and facts. This book is a systematic introduction to the central concepts of algebraic geometry most useful for computation. Written for advanced undergraduate and graduate students in mathematics and researchers in application areas, it focuses on specific examples and restricts development of formalism to what is needed to address these examples. In particular, it introduces the notion of Gröbner bases early on and develops algorithms for almost everything covered. It is based on courses given over the past five years in a large interdisciplinary programme in computational algebraic geometry at Rice University, spanning mathematics, computer science, biomathematics and bioinformatics.
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856 4 0 $u http://dx.doi.org/10.1017/CBO9780511755224

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