Modern computer algebra / Joachim von zur Gathen, Jürgen Gerhard.
Material type:
Item type | Current library | Call number | Copy number | Status | Notes | Date due | Barcode |
---|---|---|---|---|---|---|---|
![]() |
Main Library | QA155.7 .E4 G38 2013 (Browse shelf (Opens below)) | 1 | Available | STACKS | 51952000148432 |
Browsing Main Library shelves Close shelf browser
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
||
QA154.3 .M86 2013 Just-in-time algebra and trigonometry for early transcendental calculus / | QA155 .F65 1994 Fundamental structures of algebra and discrete mathematics / | QA155 .P75 2015 The Princeton companion to applied mathematics / | QA155.7 .E4 G38 2013 Modern computer algebra / | QA157 .L437 2011 Learn Algebra NOW!: Algebra for the Person Who Has Never Understood Math/by Minutes Help Guides | QA157 .M56 2012 Algebra II / | QA157 .W54 2010 Practice makes perfect algebra / |
First published in 1999.
Includes bibliographical references (pages 734-767) and index.
1. Cyclohexane, cryptography, codes, and computer algebra -- 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 -- 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 -- 14. Factoring polynomials over finite fields -- 15. Hensel lifting and factoring polynomials -- 16. Short vectors in lattices -- 17. Applications of basis reduction -- 18. Primality testing -- 19. Factoring integers -- 20. Application: public key cryptography -- 21. Gröbner bases -- 22. Symbolic integration -- 23. Symbolic summation -- 24. Applications -- 25. Fundamental concepts.
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, crytopgraphy, computational logic, and the design of calendars and musical scales). A great deal of historical information and illustration enlivens the text.
1
There are no comments on this title.