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SIROCCO 2019 Review SIROCCO 2019回顾
Pub Date : 2019-12-04 DOI: 10.1145/3374857.3374867
S. Brandt, Manuela Fischer, Jara Uitto
The conference was held from July 1st to July 4th at Gran Sasso Science Institute (GSSI) in the heart of L'Aquila, Abruzzo, a historic city in Italy to the east of Rome. First Day On the rst day, a tutorial on Permissioned Blockchains took place. There, Roger Wattenhofer covered a variety of topics on permissioned and permissionless blockchains. The rst part started from the very basics, targeting an audience that has never heard of fault-tolerant distributed systems. In the second part, permissionless blockchains were explained, followed by the third and nal part, in which more advanced topics and current research were discussed. The 6-hour tutorial was well attended by researchers and students from various areas and the interactive format allowed the members of the audience to steer the talk into their preferred directions. In the evening, after the registration, the welcome reception with lots of delicious snacks and refreshing drinks took place.
会议于7月1日至7月4日在意大利历史名城阿布鲁佐拉奎拉中心的格兰萨索科学研究所(GSSI)举行,该城市位于罗马以东。在第一天,进行了关于许可区块链的教程。在那里,Roger Wattenhofer涵盖了关于许可和无许可区块链的各种主题。第一部分从最基础的开始,目标读者是从未听说过容错分布式系统的人。在第二部分中,对无权限区块链进行了解释,然后是第三部分和最后一部分,其中讨论了更高级的主题和当前的研究。来自不同领域的研究人员和学生参加了6个小时的教程,互动形式允许听众成员将谈话引导到他们喜欢的方向。晚上,注册结束后,我们举行了欢迎招待会,有很多美味的小吃和清爽的饮料。
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引用次数: 0
Review of Kolmogorov Complexity and Algorithmic Randomness by A. Shen, V. A. Uspensky, and N. Vereshchagin A. Shen, V. A. Uspensky和N. Vereshchagin对Kolmogorov复杂度和算法随机性的综述
Pub Date : 2019-12-04 DOI: 10.1145/3374857.3374861
Hadi Shafei
This is a book about Kolmogorov complexity and algorithmic randomness. The main idea in Kolmogorov complexity, introduced by A. N. Kolmogorov and others in the 1960's, is to use an algorithmic approach to measure the amount of information in finite objects [1]. Kolmogorov wanted to create an information theory that, unlike Shannon information theory, is founded independently from probability theory. This approach results in a notion of randomness that is independent from the notion of probability and is closer to the intuition that "randomness is the absence of regularities" [2, 1]. As authors stated in the introduction, this book is not intended to be comprehensive, especially with respect to the more recent results; However, the authors cover a wide range of topics and results in Kolmogorov complexity theory and whenever a result is not rigorously investigated, sufficient references are provided. The book starts from the basic concepts and builds its way up toward the more advanced concepts and techniques. The progress from the introductory to the advanced topics is seamless which makes the reading an enjoyable experience. Concepts and techniques are explained very well and proofs are rigorous, detailed, and clear. Important and complicated proofs are usually followed by excellent discussions about the main ideas and techniques used in them. The book also contains many interesting and insightful philosophical discussions.
这是一本关于柯尔莫哥洛夫复杂度和算法随机性的书。由A. N. Kolmogorov等人在20世纪60年代提出的Kolmogorov复杂度的主要思想是使用一种算法方法来测量有限对象中的信息量[1]。Kolmogorov想要创建一个信息论,与香农信息论不同,它是独立于概率论建立起来的。这种方法产生了一个独立于概率概念的随机性概念,更接近于“随机性是缺乏规律性”的直觉[2,1]。正如作者在引言中所述,这本书并不打算全面,特别是关于最近的结果;然而,作者在Kolmogorov复杂性理论中涵盖了广泛的主题和结果,每当结果没有得到严格的研究时,都提供了足够的参考。这本书从基本概念开始,并建立其方式向更先进的概念和技术。从入门到高级主题的进展是无缝的,这使得阅读成为一种愉快的体验。概念和技术解释得很好,证明是严格的,详细的,清晰的。重要而复杂的证明之后通常会有关于主要思想和所用技术的精彩讨论。这本书还包含了许多有趣而深刻的哲学讨论。
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引用次数: 0
SETH vs Approximation SETH vs近似
Pub Date : 2019-12-04 DOI: 10.1145/3374857.3374870
A. Rubinstein, V. V. Williams
Our story is about hardness of problems in P, but its roots begin with two algorithmic approaches that have been developed to cope with NP-hard problems: approximation algorithms and fasterthan- brute-force algorithms. Approximation algorithms were proposed as a response for NP-hardness almost immediately (in historical perspective of almost half a century), and have been one of the most celebrated success stories of our eld. An outstanding complexity result in this area, which has since turned into a sub- eld of its own, is the Probabilistically Checkable Proof (PCP) Theorem. For many problems like Max-3-SAT we now have nearly tight hardness-of-approximation results.
我们的故事是关于P中问题的硬度,但它的根源始于两种算法方法,这两种方法是为了处理np困难问题而开发的:近似算法和比暴力算法更快的算法。近似算法几乎立即被提出作为对np -硬度的响应(从近半个世纪的历史角度来看),并且已经成为我们这个领域最著名的成功故事之一。在这一领域中,一个突出的复杂性结果是概率可检验证明定理(PCP),它已经形成了自己的一个子领域。对于像Max-3-SAT这样的许多问题,我们现在几乎有严格的近似硬度结果。
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引用次数: 19
Technical Report Column 技术报告专栏
Pub Date : 2019-07-24 DOI: 10.1145/3351452.3351458
D. Kelley
Welcome to the Technical Reports Column. If your institution publishes technical reports that you'd like to have included here, please contact me at the email address above.
欢迎来到技术报告专栏。如果您的机构发布了您希望包含在这里的技术报告,请通过上面的电子邮件地址与我联系。
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引用次数: 0
Review of Modern Cryptography and Elliptic Curves, A Beginner's Guide by Thomas R. Shemanske 回顾现代密码学和椭圆曲线,初学者指南,作者:Thomas R. Shemanske
Pub Date : 2019-07-24 DOI: 10.1145/3351452.3351457
Frederic Green
The equation y2 = x3 + ax2 + bx + c might seem a little innocuous at first. However, studying the sets of rational points (x; y) obeying this equation has proven to be one of the most far-reaching and fruitful areas of mathematics. For example, it led, aided and abetted by much of the most powerful mathematics of the past century, to Wiles' proof of Fermat's Last Theorem. And furthermore, these so-called "elliptic curves" (the terminology having little to do with ellipses) are actually useful. You can factor numbers with them! And send secret messages!
方程y2 = x3 + ax2 + bx + c乍一看似乎没什么大不了的。然而,研究有理点(x;遵循这个方程已被证明是数学中影响最深远、成果最丰硕的领域之一。例如,在上个世纪许多最强大的数学理论的帮助和怂恿下,它导致了怀尔斯对费马大定理的证明。此外,这些所谓的“椭圆曲线”(这个术语与椭圆没什么关系)实际上是有用的。你可以用它们来分解数字!并发送秘密信息!
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引用次数: 0
Survey of Reconfigurable Data Center Networks: Enablers, Algorithms, Complexity 可重构数据中心网络调查:使能器、算法、复杂性
Pub Date : 2019-07-24 DOI: 10.1145/3351452.3351464
Klaus-Tycho Foerster, S. Schmid
Emerging optical technologies introduce opportunities to recon gure network topologies at runtime. The resulting topological exibilities can be exploited to design novel demand-aware and self-adjusting networks. This paper provides an overview of the algorithmic problems introduced by this technology, and surveys rst solutions.
新兴的光学技术为在运行时识别网络拓扑结构提供了机会。由此产生的拓扑可扩展性可用于设计新颖的需求感知和自调整网络。本文概述了该技术所带来的算法问题,并对其解决方案进行了综述。
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引用次数: 53
Distributed Computing Column 74 Survey of Recon gurable Data Center Networks 分布式计算专栏74可侦察数据中心网络综述
Pub Date : 2019-07-24 DOI: 10.1145/3351452.3351463
J. Welch
This column consists of an overview of recon gurable data center networks and is contributed by Klaus-Tycho Foerster and Stefan Schmid. After giving some accessible background on how such networks came about from the technological and empirical perspective, the authors provide an overview of the algorithmic results obtained so far for problems in this area. The take-away is that the surface has only been scratched and there is potential for much interesting work on algorithmic foundations for recon gurable data center networks.
本专栏概述了可侦察的数据中心网络,由Klaus-Tycho Foerster和Stefan Schmid撰写。在从技术和经验的角度给出了这些网络是如何产生的一些可访问的背景之后,作者概述了迄今为止在该领域的问题中获得的算法结果。结论是,表面上还只是皮毛,在可侦察数据中心网络的算法基础上还有很多有趣的工作潜力。
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引用次数: 0
Review of Q is for Quantum by Terry Rudolph Terry Rudolph对Q is for Quantum的回顾
Pub Date : 2019-07-24 DOI: 10.1145/3351452.3351455
W. Gasarch
This book really is written for people who know NOTHING about quantum mechanics and don't know much math, hence I was able to give it a fair review. Since I have sometimes heard people talk about quantum mechanics I could also recognize some of the discussions in the book as well known controversies in quantum mechanics.
这本书真的是为那些对量子力学一无所知,对数学也不太了解的人写的,因此我能够给它一个公平的评论。因为我有时听到人们谈论量子力学,我也能认出书中的一些讨论是量子力学中众所周知的争议。
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引用次数: 0
Review of An Introduction to Ramsey Theory: Fast Functions, Infinity, and Metamathematics by Matthew Katz and Jan Reimann 《拉姆齐理论导论:快速函数、无穷和元数学》,作者:Matthew Katz和Jan Reimann
Pub Date : 2019-07-24 DOI: 10.1145/3351452.3351456
W. Gasarch
This is a very important theorem since it shows that Peano Arithmetic cannot do everything in Number Theory. However, the statement S is not natural. Paris and Harrington came up with a natural statement in Ramsey Theory that is not provable in Peano Arithmetic. I have always wanted a clean self-contained treatment of the Paris-Harrington result and why it is not provable in Peano Arithmetic. Is this book that treatment? Yes!
这是一个非常重要的定理,因为它表明皮亚诺算术不能做数论中的所有事情。然而,表述S是不自然的。帕里斯和哈林顿在拉姆齐理论中提出了一个在皮亚诺算术中无法证明的自然命题。我一直希望对Paris-Harrington结果有一个完整的解释,以及为什么它不能在皮亚诺算法中被证明。这本书是那种治疗方法吗?是的!
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引用次数: 0
The Book Review Column 书评专栏
Pub Date : 2019-07-24 DOI: 10.1145/3351452.3351454
Frederic Green
In this column we review three accessible books about difficult subjects. The second and third are in the AMS Student Mathematical Library, a series I have so far found to be uniformly excellent.
在这个专栏中,我们回顾了三本关于困难主题的通俗易懂的书。第二个和第三个是在AMS学生数学图书馆,这是我迄今为止发现的一个非常优秀的系列。
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引用次数: 0
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