Narrow your search

Library

KBR (2)

UAntwerpen (2)

KU Leuven (1)

UCLouvain (1)

ULiège (1)

UMons (1)


Resource type

book (2)

periodical (1)


Language

English (1)

German (1)


Year
From To Submit

1997 (1)

1988 (1)

Listing 1 - 2 of 2
Sort by
Applicable algebra, error-correcting codes, combinatorics and computer algebra : 4th international conference, AAECC-4, Karlsruhe, September 23-26, 1986 : proceedings
Authors: ---
ISBN: 354019200X 038719200X 3540391339 Year: 1988 Volume: vol 307 Publisher: Berlin New York London Springer

Algebraic complexity theory
Authors: --- --- ---
ISSN: 00727830 ISBN: 3540605827 3642082289 3662033380 9783540605829 Year: 1997 Volume: 315 Publisher: Berlin: Springer,

Loading...
Export citation

Choose an application

Bookmark

Abstract

The algorithmic solution of problems has always been one of the major concerns of mathematics. For a long time such solutions were based on an intuitive notion of algorithm. It is only in this century that metamathematical problems have led to the intensive search for a precise and sufficiently general formalization of the notions of computability and algorithm. In the 1930s, a number of quite different concepts for this purpose were pro­ posed, such as Turing machines, WHILE-programs, recursive functions, Markov algorithms, and Thue systems. All these concepts turned out to be equivalent, a fact summarized in Church's thesis, which says that the resulting definitions form an adequate formalization of the intuitive notion of computability. This had and continues to have an enormous effect. First of all, with these notions it has been possible to prove that various problems are algorithmically unsolvable. Among of group these undecidable problems are the halting problem, the word problem theory, the Post correspondence problem, and Hilbert's tenth problem. Secondly, concepts like Turing machines and WHILE-programs had a strong influence on the development of the first computers and programming languages. In the era of digital computers, the question of finding efficient solutions to algorithmically solvable problems has become increasingly important. In addition, the fact that some problems can be solved very efficiently, while others seem to defy all attempts to find an efficient solution, has called for a deeper under­ standing of the intrinsic computational difficulty of problems.

Listing 1 - 2 of 2
Sort by