Description

Book Synopsis
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 p

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

Table of Contents
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.

Abstract Recursion and Intrinsic Complexity

    Product form

    £999.99

    Includes FREE delivery

    A Hardback by Yiannis N. Moschovakis

    Out of stock


      View other formats and editions of Abstract Recursion and Intrinsic Complexity by Yiannis N. Moschovakis

      Publisher: Cambridge University Press
      Publication Date: 06/12/2018
      ISBN13: 9781108415583, 978-1108415583
      ISBN10:

      Description

      Book Synopsis
      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 p

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

      Table of Contents
      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.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account