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.
| ISBN-13: | 9780817639662 |
| ISBN-10: | 0817639667 |
| Publisher: | Springer Science & Business Media |
| Publication date: | 1998-12-23 |
| Edition description: | 1999 |
| Pages: | 353 |
| Product dimensions: | Height: 9.21 Inches, Length: 6.14 Inches, Weight: 3.417165061 Pounds, Width: 0.88 Inches |
| Author: | William S. Levine, Georgia Martin |
| Language: | en |
| Binding: | Hardcover |
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