One of the major concerns of theoretical computer science is the classifi- cation of problems in terms of how hard they are. The natural measure of difficulty of a function is the amount of time needed to compute it (as a function of the length of the input). Other resources, such as space, have also been considered. In recursion theory, by contrast, a function is considered to be easy to compute if there exists some algorithm that computes it. We wish to classify functions that are hard, i.e., not computable, in a quantitative way. We cannot use time or space, since the functions are not even computable. We cannot use Turing degree, since this notion is not quantitative. Hence we need a new notion of complexity-much like time or spac that is quantitative and yet in some way captures the level of difficulty (such as the Turing degree) of a function.
- | Author: William Levine
- | Publisher: Birkhauser
- | Publication Date: Jul 13, 2013
- | Number of Pages: 353 pages
- | Binding: Paperback or Softback
- | ISBN-10: 1461268486
- | ISBN-13: 9781461268482
- Author:
- William Levine
- Publisher:
- Birkhauser
- Publication Date:
- Jul 13, 2013
- Number of pages:
- 353 pages
- Binding:
- Paperback or Softback
- ISBN-10:
- 1461268486
- ISBN-13:
- 9781461268482