# Идеалы, многообразия и алгоритмы:

Введ. в вычисл. аспекты алгебр. геометрии и коммутатив. алгебры
Мир, 1997 - Mathematics - 536 pages
Algebraic Geometry is the study of systems of polynomial equations in one or more variables, asking such questions as: Does the system have finitely many solutions, and if so how can one find them? And if there are infinitely many solutions, how can they be described and manipulated? The solutions of a system of polynomial equations form a geometric object called a variety; the corresponding algebraic object is an ideal. There is a close relationship between ideals and varieties which reveals the intimate link between algebra and geometry. Written at a level appropriate to undergraduates, this book covers such topics as the Hilbert Basis Theorem, the Nullstellensatz, invariant theory, projective geometry, and dimension theory. The algorithms to answer questions such as those posed above are an important part of algebraic geometry. This book bases its discussion of algorithms on a generalization of the division algorithm for polynomials in one variable that was only discovered in the 1960's. Although the algorithmic roots of algebraic geometry are old, the computational aspects were neglected earlier in this century. This has changed in recent years, and new algorithms, coupled with the power of fast computers, have let to some interesting applications, for example in robotics and in geometric theorem proving. In preparing a new edition of Ideals, Varieties and Algorithms the authors present an improved proof of the Buchberger Criterion as well as a proof of Bezout's Theorem. Appendix C contains a new section on Axiom and an update about Maple , Mathematica and REDUCE.

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#### Review: Ideals, Varieties, and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra

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This book explains and illustrates the algorithms used by symbolic math packages such as Mathematica, Maple, CoCoA, MatLab, MuPAD,... to solve problems involving polynomials in many variables, and ... Read full review

### References from web pages

Ideals, Varieties, and Algorithms
By David A. Cox, John B. Little and Don O'Shea. Errata, solutions, Maple and Mathematica software
www.cs.amherst.edu/ ~dac/ iva.html

JSTOR: Ideals, Varieties, and Algorithms.
Ideals, Varieties, and Algorithms. Moss Sweedler. The American Mathematical Monthly, Vol. 101, No. 6, 582-586. Jun. - Jul., 1994. ...

citeulike: Ideals, Varieties, and Algorithms: An Introduction to ...
TY - BOOK ID - citeulike:2294815 TI - Ideals, Varieties, and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra ...
www.citeulike.org/ user/ alexzeh/ article/ 2294815

Ideals, Varieties, and Algorithms / An Introduction to ...
Ideals, Varieties, and Algorithms / An Introduction to Computational Algebraic Geometry and Commutative Algebra, , Cox David, Little John, O Shea Donal, ...
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Ideals, Varieties, and Algorithms
David Cox John Little Donal O'Shea. Ideals, Varieties, and. Algorithms. An Introduction to Computational Algebraic. Geometry and Commutative Algebra ...

Drexel dragon The Math Forum Donate to the Math Forum · The Math Forum Internet Mathematics Library. Ideals, Varieties, and Algorithms ...
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Ideals, varieties, and algorithms [Book Review] - Information ...
Ideals, Varieties, and Algorithms—D. Cox, J. Little, and D. O’Shea. (New York:Springer-Verlag, 1996. 536 pp. \$45. ISBN 0-387-94650-2.) ...
ieeexplore.ieee.org/ iel5/ 18/ 17872/ 00825851.pdf

Ideals, Varieties, And Algorithms: An Introduction To ...
David A. Cox, John Little, Donal O'Shea, "Ideals, Varieties, and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra" ...
forum.flazx.com/ index.php?showtopic=12511

Tennessee Technological University Mathematics Department MATH ...
Tennessee Technological University. Mathematics Department. MATH 4850-5850: Computational Algebraic Geometry I. I. COURSE DESCRIPTION FROM CATALOG: ...
www.math.tntech.edu/ PDF/ 4850-5850.pdf

Math 191: Algorithms for Elementary Algebraic Geometry
General Information. Time and Place: MWF 1-1:50pm, Dodd Hall 162 Instructor: Matthias Aschenbrenner E-mail address: matthias at math.ucla.edu ...
www.math.ucla.edu/ ~matthias/ 191.1.07f/