Term Rewriting and All That
This textbook offers a unified and self-contained introduction to the field of term rewriting. It covers all the basic material (abstract reduction systems, termination, confluence, completion, and combination problems), but also some important and closely connected subjects: universal algebra, unification theory, Gröbner bases and Buchberger's algorithm. The main algorithms are presented both informally and as programs in the functional language Standard ML (an appendix contains a quick and easy introduction to ML). Certain crucial algorithms like unification and congruence closure are covered in more depth and Pascal programs are developed. The book contains many examples and over 170 exercises. This text is also an ideal reference book for professional researchers: results that have been spread over many conference and journal articles are collected together in a unified notation, proofs of almost all theorems are provided, and each chapter closes with a guide to the literature.
- Covers a spectrum of topics from term rewriting to unification theory and Gröbner bases
- Includes many examples and exercises and working ML and Pascal programs for many of the algorithms
- Gives detailed and readable proofs for most of the important results in the area
Reviews & endorsements
"...it fills a gap by being the first textbook in English on this topic...The book is well written, clearly structured and contains proofs of all the theorems, including those of the undecidability of termination and of Kruskal's theorem." Mathematical Reviews
"...I am thoroughly impressed by this book." Computing Reviews
Product details
August 1999Paperback
9780521779203
316 pages
242 × 170 × 18 mm
0.51kg
170 exercises
Available
Table of Contents
- Preface
- 1. Motivating examples
- 2. Abstract reduction systems
- 3. Universal algebra
- 4. Equational problems
- 5. Termination
- 6. Confluence
- 7. Completion
- 8. Gröbner bases and Buchberger's algorithm
- 9. Combination problems
- 10. Equational unification
- 11. Extensions
- Appendix 1. Ordered sets
- Appendix 2. A bluffer's guide to ML
- Bibliography
- Index.