Modern computer algebra

Author(s)

Bibliographic Information

Modern computer algebra

Joachim von zur Gathen, Jürgen Gerhard

Cambridge University Press, 2013

3rd ed

  • : hardback

Available at  / 26 libraries

Search this Book/Journal

Note

Includes bibliographical references (p. 734-767) and index

Description and Table of Contents

Description

Computer algebra systems are now ubiquitous in all areas of science and engineering. This highly successful textbook, widely regarded as the 'bible of computer algebra', gives a thorough introduction to the algorithmic basis of the mathematical engine in computer algebra systems. Designed to accompany one- or two-semester courses for advanced undergraduate or graduate students in computer science or mathematics, its comprehensiveness and reliability has also made it an essential reference for professionals in the area. Special features include: detailed study of algorithms including time analysis; implementation reports on several topics; complete proofs of the mathematical underpinnings; and a wide variety of applications (among others, in chemistry, coding theory, cryptography, computational logic, and the design of calendars and musical scales). A great deal of historical information and illustration enlivens the text. In this third edition, errors have been corrected and much of the Fast Euclidean Algorithm chapter has been renovated.

Table of Contents

  • Introduction
  • 1. Cyclohexane, cryptography, codes, and computer algebra
  • Part I. Euclid: 2. Fundamental algorithms
  • 3. The Euclidean Algorithm
  • 4. Applications of the Euclidean Algorithm
  • 5. Modular algorithms and interpolation
  • 6. The resultant and gcd computation
  • 7. Application: decoding BCH codes
  • Part II. Newton: 8. Fast multiplication
  • 9. Newton iteration
  • 10. Fast polynomial evaluation and interpolation
  • 11. Fast Euclidean Algorithm
  • 12. Fast linear algebra
  • 13. Fourier Transform and image compression
  • Part III. Gauss: 14. Factoring polynomials over finite fields
  • 15. Hensel lifting and factoring polynomials
  • 16. Short vectors in lattices
  • 17. Applications of basis reduction
  • Part IV. Fermat: 18. Primality testing
  • 19. Factoring integers
  • 20. Application: public key cryptography
  • Part V. Hilbert: 21. Groebner bases
  • 22. Symbolic integration
  • 23. Symbolic summation
  • 24. Applications
  • Appendix: 25. Fundamental concepts
  • Sources of illustrations
  • Sources of quotations
  • List of algorithms
  • List of figures and tables
  • References
  • List of notation
  • Index.

by "Nielsen BookData"

Details

Page Top