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  • © 2013

Gröbner Bases

Statistics and Software Systems

Editors:

  • Covers broad aspects of Gröbner bases, including convex polytopes, algebraic statistics, and ring of differential operators

  • Discusses theoretical, practical, and computational aspects of Gröbner bases, providing information on how to use various software packages

  • Is readily accessible to graduate students, requiring no special knowledge to be understood

  • Includes supplementary material: sn.pub/extras

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xv
  2. A Quick Introduction to Gröbner Bases

    • Takayuki Hibi
    Pages 1-54
  3. Warm-Up Drills and Tips for Mathematical Software

    • Tatsuyoshi Hamada
    Pages 55-106
  4. Computation of Gröbner Bases

    • Masayuki Noro
    Pages 107-163
  5. Markov Bases and Designed Experiments

    • Satoshi Aoki, Akimichi Takemura
    Pages 165-221
  6. Convex Polytopes and Gröbner Bases

    • Hidefumi Ohsugi
    Pages 223-278
  7. Examples and Exercises

    • Hiromasa Nakayama, Kenta Nishiyama
    Pages 345-466
  8. Back Matter

    Pages 467-474

About this book

The idea of the Gröbner basis first appeared in a 1927 paper by F. S. Macaulay, who succeeded in creating a combinatorial characterization of the Hilbert functions of homogeneous ideals of the polynomial ring. Later, the modern definition of the Gröbner basis was independently introduced by Heisuke Hironaka in 1964 and Bruno Buchberger in 1965. However, after the discovery of the notion of the Gröbner basis by Hironaka and Buchberger, it was not actively pursued for 20 years. A breakthrough was made in the mid-1980s by David Bayer and Michael Stillman, who created the Macaulay computer algebra system with the help of the Gröbner basis. Since then, rapid development on the Gröbner basis has been achieved by many researchers, including Bernd Sturmfels.

This book serves as a standard bible of the Gröbner basis, for which the harmony of theory, application, and computation are indispensable. It provides all the fundamentals for graduate students to learn the ABC’s of the Gröbner basis, requiring no special knowledge to understand those basic points.

Starting from the introductory performance of the Gröbner basis (Chapter 1), a trip around mathematical software follows (Chapter 2). Then comes a deep discussion of how to compute the Gröbner basis (Chapter 3). These three chapters may be regarded as the first act of a mathematical play. The second act opens with topics on algebraic statistics (Chapter 4), a fascinating research area where the Gröbner basis of a toric ideal is a fundamental tool of the Markov chain Monte Carlo method. Moreover, the Gröbner basis of a toric ideal has had a great influence on the study of convex polytopes (Chapter 5). In addition, the Gröbner basis of the ring of differential operators gives effective algorithms on holonomic functions (Chapter 6). The third act (Chapter 7) is a collection of concrete examples and problems for Chapters 4, 5 and 6 emphasizing computation by using various software systems.

Editors and Affiliations

  • Department of Pure and Applied Mathematics, Osaka University, Toyonaka, Japan

    Takayuki Hibi

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access