| 书目名称 | Kolmogorov Complexity and Computational Complexity | | 编辑 | Osamu Watanabe | | 视频video | | | 丛书名称 | Monographs in Theoretical Computer Science. An EATCS Series | | 图书封面 |  | | 描述 | The mathematical theory of computation has given rise to two important ap proaches to the informal notion of "complexity": Kolmogorov complexity, usu ally a complexity measure for a single object such as a string, a sequence etc., measures the amount of information necessary to describe the object. Compu tational complexity, usually a complexity measure for a set of objects, measures the compuational resources necessary to recognize or produce elements of the set. The relation between these two complexity measures has been considered for more than two decades, and may interesting and deep observations have been obtained. In March 1990, the Symposium on Theory and Application of Minimal Length Encoding was held at Stanford University as a part of the AAAI 1990 Spring Symposium Series. Some sessions of the symposium were dedicated to Kolmogorov complexity and its relations to the computational complexity the ory, and excellent expository talks were given there. Feeling that, due to the importance of the material, some way should be found to share these talks with researchers in the computer science community, I asked the speakers of those sessions to write survey papers based on | | 出版日期 | Book 1992 | | 关键词 | Kolmogorov; Kolmogorov complexity; Komplexitätstheorie; Struktur; algorithms; complexity; complexity theor | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-77735-6 | | isbn_softcover | 978-3-642-77737-0 | | isbn_ebook | 978-3-642-77735-6Series ISSN 1431-2654 Series E-ISSN 2193-2069 | | issn_series | 1431-2654 | | copyright | Springer-Verlag Berlin Heidelberg 1992 |
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发表于 2025-3-21 19:12:02
