In computable analysis recursive metric spaces play an important role, since these are, roughly speaking, spaces with computable metric and limit operation. Unfortunately, the concept of a metric space is not powerful enough to capture all interesting phenomena which occur in computable analysis. So
Quasi-metric properties of complexity spaces
โ Scribed by S. Romaguera; M. Schellekens
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 110 KB
- Volume
- 98
- Category
- Article
- ISSN
- 0166-8641
No coin nor oath required. For personal study only.
โฆ Synopsis
The complexity (quasi-metric) space has been introduced as a part of the development of a topological foundation for the complexity analysis of algorithms . Applications of this theory to the complexity analysis of Divide and Conquer algorithms have been discussed by .
Here we obtain several quasi-metric properties of the complexity space. The main results obtained are the Smyth-completeness of the complexity space and the compactness of closed complexity spaces which possess a (complexity) lower bound. Finally, some implications of these results in connection to the above mentioned complexity analysis techniques are discussed and the total boundedness of complexity spaces with a lower bound is discussed in the light of Smyth's computational interpretation of this property .
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