Open Problems in Communication and Computation
暫譯: 通信與計算中的開放問題
- 出版商: Springer
- 出版日期: 2011-12-21
- 售價: $4,510
- 貴賓價: 9.5 折 $4,285
- 語言: 英文
- 頁數: 236
- 裝訂: Paperback
- ISBN: 1461291623
- ISBN-13: 9781461291626
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商品描述
Thomas M. Cover and B. Gopinatb The papers in this volume are the contributions to a special workshop on problems in communication and computation conducted in the summers of 1984 and 1985 in Morristown, New Jersey, and the summer of 1986 in Palo Alto. California. The structure of this workshop was unique: no recent results. no surveys. Instead. we asked for outstanding open prob~ lems in the field. There are many famous open problems, including the question P = NP?, the simplex conjecture in communication theory, the capacity region of the broadcast channel. and the two·helper problem in information theory. Beyond these well-defined problems are certain grand research goals. What is the general theory of information flow in stochastic networks? What is a comprehensive theory of computational complexity? What about a unification of algorithmic complexity and computational complex ity? Is there a notion of energy-free computation? And if so, where do information theory, communication theory, computer science, and physics meet at the atomic level? Is there a duality between computation and communication? Finally. what is the ultimate impact of algorithmic com plexity on probability theory? And what is its relationship to information theory? The idea was to present problems on the first day. try to solve them on the second day, and present the solutions on the third day. In actual fact, only one problem was solved during the meeting -- El Gamal's prob· lem on noisy communication over a common line.
商品描述(中文翻譯)
托馬斯·M·卡佛(Thomas M. Cover)和B·戈皮納特(B. Gopinatb) 本卷中的論文是1984年和1985年在新澤西州莫里斯鎮(Morristown)以及1986年在加利福尼亞州帕洛阿爾托(Palo Alto)舉辦的專題研討會對於通信和計算問題的貢獻。這次研討會的結構是獨特的:沒有最近的結果,也沒有調查報告。我們要求提出該領域中的突出開放問題。有許多著名的開放問題,包括問題P = NP?、通信理論中的單純形猜想、廣播通道的容量區域,以及信息理論中的雙輔助者問題。除了這些明確定義的問題之外,還有一些宏大的研究目標。隨機網絡中的信息流的一般理論是什麼?計算複雜性的綜合理論是什麼?算法複雜性和計算複雜性的統一又如何?是否存在無能量計算的概念?如果有,那麼信息理論、通信理論、計算機科學和物理學在原子層面上是如何交匯的?計算和通信之間是否存在對偶性?最後,算法複雜性對概率論的最終影響是什麼?它與信息理論的關係又是什麼?這個想法是在第一天提出問題,第二天嘗試解決它們,第三天展示解決方案。實際上,在會議期間只有一個問題被解決——El Gamal在共用線路上的噪聲通信問題。