Abstract Recursion and Intrinsic Complexity

Presents a new framework for the complexity of algorithms, for all readers interested in the theory of computation.

Yiannis N. Moschovakis (Author)

9781108415583, Cambridge University Press

Hardback, published 6 December 2018

250 pages, 5 b/w illus. 260 exercises
23.5 x 15.7 x 1.8 cm, 0.47 kg

'… the author presents basic methods, approaches and results of the theory of abstract (?rst-order) recursion and its relevance to the foundations of the theory of algorithms and computational complexity …' Marat M. Arslanov, Mathematical Reviews Clippings

This book presents and applies a framework for studying the complexity of algorithms. It is aimed at logicians, computer scientists, mathematicians and philosophers interested in the theory of computation and its foundations, and it is written at a level suitable for non-specialists. Part I provides an accessible introduction to abstract recursion theory and its connection with computability and complexity. This part is suitable for use as a textbook for an advanced undergraduate or graduate course: all the necessary elementary facts from logic, recursion theory, arithmetic and algebra are included. Part II develops and applies an extension of the homomorphism method due jointly to the author and Lou van den Dries for deriving lower complexity bounds for problems in number theory and algebra which (provably or plausibly) restrict all elementary algorithms from specified primitives. The book includes over 250 problems, from simple checks of the reader's understanding, to current open problems.

Introduction
1. Preliminaries
Part I. Abstract (First Order) Recursion: 2. Recursive (McCarthy) programs
3. Complexity theory for recursive programs
Part II. Intrinsic Complexity: 4. The homomorphism method
5. Lower bounds from Presburger primitives
6. Lower bounds from division with remainder
7. Lower bounds from division and multiplication
8. Non-uniform complexity in N
9. Polynomial nullity (0-testing)
References
Symbol index
General index.

Subject Areas: Mathematical theory of computation [UYA], Algorithms & data structures [UMB], Mathematical logic [PBCD]