An Interview with Michael Rabin Interviewer: David Harel (DH) November 12, 2015 in Jerusalem
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1 Introduction and Contents
University of Padova - DEI Course “Introduction to Natural Language Processing”, Academic Year 2002-2003 Term paper Fast Matrix Multiplication PhD Student: Carlo Fantozzi, XVI ciclo 1 Introduction and Contents This term paper illustrates some results concerning the fast multiplication of n × n matrices: we use the adjective “fast” as a synonym of “in time asymptotically lower than n3”. This subject is relevant to natural language processing since, in 1975, Valiant showed [27] that Boolean matrix multiplication can be used to parse context-free grammars (or CFGs, for short): as a consequence, a fast boolean matrix multiplication algorithm yields a fast CFG parsing algorithm. Indeed, Valiant’s algorithm parses a string of length n in time proportional to TBOOL(n), i.e. the time required to multiply two n × n boolean matrices. Although impractical because of its high constants, Valiant’s algorithm is the asymptotically fastest CFG parsing solution known to date. A simpler (hence nearer to practicality) version of Valiant’s algorithm has been devised by Rytter [20]. One might hope to find a fast, practical parsing scheme which do not rely on matrix multiplica- tion: however, some results seem to suggest that this is a hard quest. Satta has demonstrated [21] that tree-adjoining grammar (TAG) parsing can be reduced to boolean matrix multiplication. Subsequently, Lee has proved [18] that any CFG parser running in time O gn3−, with g the size of the context-free grammar, can be converted into an O m3−/3 boolean matrix multiplication algorithm∗; the constants involved in the translation process are small. Since canonical parsing schemes exhibit a linear depen- dence on g, it can be reasonably stated that fast, practical CFG parsing algorithms can be translated into fast matrix multiplication algorithms. -
Mathematics People
Mathematics People Srinivas Receives TWAS Prize Strassen Awarded ACM Knuth in Mathematics Prize Vasudevan Srinivas of the Tata Institute of Fundamental Volker Strassen of the University of Konstanz has been Research, Mumbai, has been named the winner of the 2008 awarded the 2008 Knuth Prize of the Association for TWAS Prize in Mathematics, awarded by the Academy of Computing Machinery (ACM) Special Interest Group on Sciences for the Developing World (TWAS). He was hon- Algorithms and Computation Theory (SIGACT). He was ored “for his basic contributions to algebraic geometry honored for his contributions to the theory and practice that have helped deepen our understanding of cycles, of algorithm design. The award carries a cash prize of motives, and K-theory.” Srinivas will receive a cash prize US$5,000. of US$15,000 and will deliver a lecture at the academy’s According to the prize citation, “Strassen’s innovations twentieth general meeting, to be held in South Africa in enabled fast and efficient computer algorithms, the se- September 2009. quence of instructions that tells a computer how to solve a particular problem. His discoveries resulted in some of the —From a TWAS announcement most important algorithms used today on millions if not billions of computers around the world and fundamentally altered the field of cryptography, which uses secret codes Pujals Awarded ICTP/IMU to protect data from theft or alteration.” Ramanujan Prize His algorithms include fast matrix multiplication, inte- ger multiplication, and a test for the primality -
Herman Heine Goldstine
Herman Heine Goldstine Born September 13, 1913, Chicago, Ill.; Army representative to the ENIAC Project, who later worked with John von Neumann on the logical design of the JAS computer which became the prototype for many early computers-ILLIAC, JOHNNIAC, MANIAC author of The Computer from Pascal to von Neumann, one of the earliest textbooks on the history of computing. Education: BS, mathematics, University of Chicago, 1933; MS, mathematics, University of Chicago, 1934; PhD, mathematics, University of Chicago, 1936. Professional Experience: University of Chicago: research assistant, 1936-1937, instructor, 1937-1939; assistant professor, University of Michigan, 1939-1941; US Army, Ballistic Research Laboratory, Aberdeen, Md., 1941-1946; Institute for Advanced Study, Princeton University, 1946-1957; IBM: director, Mathematics Sciences Department, 1958-1965, IBM fellow, 1969. Honors and Awards: IEEE Computer Society Pioneer Award, 1980; National Medal of Science, 1985; member, Information Processing Hall of Fame, Infornart, Dallas, Texas, 1985. Herman H. Goldstine began his scientific career as a mathematician and had a life-long interest in the interaction of mathematical ideas and technology. He received his PhD in mathematics from the University of Chicago in 1936 and was an assistant professor at the University of Michigan when he entered the Army in 1941. After participating in the development of the first electronic computer (ENIAC), he left the Army in 1945, and from 1946 to 1957 he was a member of the Institute for Advanced Study (IAS), where he collaborated with John von Neumann in a series of scientific papers on subjects related to their work on the Institute computer. In 1958 he joined IBM Corporation as a member of the research planning staff. -
Amortized Circuit Complexity, Formal Complexity Measures, and Catalytic Algorithms
Electronic Colloquium on Computational Complexity, Report No. 35 (2021) Amortized Circuit Complexity, Formal Complexity Measures, and Catalytic Algorithms Robert Roberey Jeroen Zuiddamy McGill University Courant Institute, NYU [email protected] and U. of Amsterdam [email protected] March 12, 2021 Abstract We study the amortized circuit complexity of boolean functions. Given a circuit model F and a boolean function f : f0; 1gn ! f0; 1g, the F-amortized circuit complexity is defined to be the size of the smallest circuit that outputs m copies of f (evaluated on the same input), divided by m, as m ! 1. We prove a general duality theorem that characterizes the amortized circuit complexity in terms of “formal complexity measures”. More precisely, we prove that the amortized circuit complexity in any circuit model composed out of gates from a finite set is equal to the pointwise maximum of the family of “formal complexity measures” associated with F. Our duality theorem captures many of the formal complexity measures that have been previously studied in the literature for proving lower bounds (such as formula complexity measures, submodular complexity measures, and branching program complexity measures), and thus gives a characterization of formal complexity measures in terms of circuit complexity. We also introduce and investigate a related notion of catalytic circuit complexity, which we show is “intermediate” between amortized circuit complexity and standard circuit complexity, and which we also characterize (now, as the best integer solution to a linear program). Finally, using our new duality theorem as a guide, we strengthen the known upper bounds for non-uniform catalytic space, introduced by Buhrman et. -
Platform Systems Vs. Step Processes—The Value of Options and the Power of Modularity by Carliss Y
© Carliss Y. Baldwin Comments welcome. Design Rules, Volume 2: How Technology Shapes Organizations Chapter 13 Platform Systems vs. Step Processes—The Value of Options and the Power of Modularity By Carliss Y. Baldwin Note to Readers: This is a draft of Chapter 13 of Design Rules, Volume 2: How Technology Shapes Organizations. It builds on prior chapters, but I believe it is possible to read this chapter on a stand-alone basis. The chapter may be cited as: Baldwin, C. Y. (2019) “Platform Systems vs. Step Processes—The Value of Options and the Power of Modularity,” HBS Working Paper (January 2019). I would be most grateful for your comments on any aspect of this chapter! Thank you in advance, Carliss. Abstract The purpose of this chapter is to contrast the value structure of platform systems (e.g. a computer) with step processes (e.g. an assembly line). I first review the basic technical architecture of computers and argue that every computer is inherently a platform for performing computations as dictated by their programs. I state and prove five propositions about platform systems, which stand in contrast to the propositions derived for step processes in Chapter 8. The propositions suggest that platform systems and step processes call for different forms of organization. Specifically, step processes reward technical integration, unified governance, risk aversion, and the use of direct authority, while platform systems reward modularity, distributed governance, risk taking, and autonomous decision-making. Despite these differences, treating platform systems and step processes as mutually exclusive architectures sets up a false dichotomy. Creating any good requires carrying out a technical recipe, i.e., performing a series of steps. -
TME Volume 5, Numbers 2 and 3
The Mathematics Enthusiast Volume 5 Number 2 Numbers 2 & 3 Article 27 7-2008 TME Volume 5, Numbers 2 and 3 Follow this and additional works at: https://scholarworks.umt.edu/tme Part of the Mathematics Commons Let us know how access to this document benefits ou.y Recommended Citation (2008) "TME Volume 5, Numbers 2 and 3," The Mathematics Enthusiast: Vol. 5 : No. 2 , Article 27. Available at: https://scholarworks.umt.edu/tme/vol5/iss2/27 This Full Volume is brought to you for free and open access by ScholarWorks at University of Montana. It has been accepted for inclusion in The Mathematics Enthusiast by an authorized editor of ScholarWorks at University of Montana. For more information, please contact [email protected]. The Montana Mathematics Enthusiast ISSN 1551-3440 VOL. 5, NOS.2&3, JULY 2008, pp.167-462 Editor-in-Chief Bharath Sriraman, The University of Montana Associate Editors: Lyn D. English, Queensland University of Technology, Australia Claus Michelsen, University of Southern Denmark, Denmark Brian Greer, Portland State University, USA Luis Moreno-Armella, University of Massachusetts-Dartmouth International Editorial Advisory Board Miriam Amit, Ben-Gurion University of the Negev, Israel. Ziya Argun, Gazi University, Turkey. Ahmet Arikan, Gazi University, Turkey. Astrid Beckmann, University of Education, Schwäbisch Gmünd, Germany. John Berry, University of Plymouth,UK. Morten Blomhøj, Roskilde University, Denmark. Robert Carson, Montana State University- Bozeman, USA. Mohan Chinnappan, University of Wollongong, Australia. Constantinos Christou, University of Cyprus, Cyprus. Bettina Dahl Søndergaard, University of Aarhus, Denmark. Helen Doerr, Syracuse University, USA. Ted Eisenberg, Ben-Gurion University of the Negev, Israel. -
Michael Oser Rabin Automata, Logic and Randomness in Computation
Michael Oser Rabin Automata, Logic and Randomness in Computation Luca Aceto ICE-TCS, School of Computer Science, Reykjavik University Pearls of Computation, 6 November 2015 \One plus one equals zero. We have to get used to this fact of life." (Rabin in a course session dated 30/10/1997) Thanks to Pino Persiano for sharing some anecdotes with me. Luca Aceto The Work of Michael O. Rabin 1 / 16 Michael Rabin's accolades Selected awards and honours Turing Award (1976) Harvey Prize (1980) Israel Prize for Computer Science (1995) Paris Kanellakis Award (2003) Emet Prize for Computer Science (2004) Tel Aviv University Dan David Prize Michael O. Rabin (2010) Dijkstra Prize (2015) \1970 in computer science is not classical; it's sort of ancient. Classical is 1990." (Rabin in a course session dated 17/11/1998) Luca Aceto The Work of Michael O. Rabin 2 / 16 Michael Rabin's work: through the prize citations ACM Turing Award 1976 (joint with Dana Scott) For their joint paper \Finite Automata and Their Decision Problems," which introduced the idea of nondeterministic machines, which has proved to be an enormously valuable concept. ACM Paris Kanellakis Award 2003 (joint with Gary Miller, Robert Solovay, and Volker Strassen) For \their contributions to realizing the practical uses of cryptography and for demonstrating the power of algorithms that make random choices", through work which \led to two probabilistic primality tests, known as the Solovay-Strassen test and the Miller-Rabin test". ACM/EATCS Dijkstra Prize 2015 (joint with Michael Ben-Or) For papers that started the field of fault-tolerant randomized distributed algorithms. -
Modular Algorithms in Symbolic Summation and Sy
Lecture Notes in Computer Science 3218 Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos New York University, NY, USA Doug Tygar University of California, Berkeley, CA, USA Moshe Y. Vardi Rice University, Houston, TX, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany Jürgen Gerhard Modular Algorithms in Symbolic Summation and Symbolic Integration 13 Author Jürgen Gerhard Maplesoft 615 Kumpf Drive, Waterloo, ON, N2V 1K8, Canada E-mail: [email protected] This work was accepted as PhD thesis on July 13, 2001, at Fachbereich Mathematik und Informatik Universität Paderborn 33095 Paderborn, Germany Library of Congress Control Number: 2004115730 CR Subject Classification (1998): F.2.1, G.1, I.1 ISSN 0302-9743 ISBN 3-540-24061-6 Springer Berlin Heidelberg New York This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. -
Scientific Workplace· • Mathematical Word Processing • LATEX Typesetting Scientific Word· • Computer Algebra
Scientific WorkPlace· • Mathematical Word Processing • LATEX Typesetting Scientific Word· • Computer Algebra (-l +lr,:znt:,-1 + 2r) ,..,_' '"""""Ke~r~UrN- r o~ r PooiliorK 1.931'J1 Po6'lf ·1.:1l26!.1 Pod:iDnZ 3.881()2 UfW'IICI(JI)( -2.801~ ""'"""U!NecteoZ l!l!iS'11 v~ 0.7815399 Animated plots ln spherical coordln1tes > To make an anlm.ted plot In spherical coordinates 1. Type an expression In thr.. variables . 2 WMh the Insertion poilt In the expression, choose Plot 3D The next exampfe shows a sphere that grows ftom radius 1 to .. Plot 3D Animated + Spherical The Gold Standard for Mathematical Publishing Scientific WorkPlace and Scientific Word Version 5.5 make writing, sharing, and doing mathematics easier. You compose and edit your documents directly on the screen, without having to think in a programming language. A click of a button allows you to typeset your documents in LAT£X. You choose to print with or without LATEX typesetting, or publish on the web. Scientific WorkPlace and Scientific Word enable both professionals and support staff to produce stunning books and articles. Also, the integrated computer algebra system in Scientific WorkPlace enables you to solve and plot equations, animate 20 and 30 plots, rotate, move, and fly through 3D plots, create 3D implicit plots, and more. MuPAD' Pro MuPAD Pro is an integrated and open mathematical problem solving environment for symbolic and numeric computing. Visit our website for details. cK.ichan SOFTWARE , I NC. Visit our website for free trial versions of all our products. www.mackichan.com/notices • Email: info@mac kichan.com • Toll free: 877-724-9673 It@\ A I M S \W ELEGRONIC EDITORIAL BOARD http://www.math.psu.edu/era/ Managing Editors: This electronic-only journal publishes research announcements (up to about 10 Keith Burns journal pages) of significant advances in all branches of mathematics. -
Oral History Interview with Herman Goldstine
An Interview with HERMAN GOLDSTINE OH 18 Conducted by Nancy Stern on 11 August 1980 Charles Babbage Institute The Center for the History of Information Processing University of Minnesota 1 Herman Goldstine Interview 11 August 1980 Abstract Goldstine, associate director of the Institute for Advanced Study (IAS) computer project from 1945 to 1956, discusses his role in the project. He describes the acquisition of funding from the Office of Naval Research, the hiring of staff, and his relationship with John von Neumann. Goldstine explains that von Neumann was responsible for convincing the Institute to sponsor the computer project. Goldstine praises von Neumann's contributions, among which he counts the first logical design of a computer and the concept of stored programming. Goldstine turns next to the relations between the project and one of its funders, the Atomic Energy Commission. He points out the conflict of interest of IAS director Robert Oppenheimer, who chaired the AEC General Advisory Committee, and von Neumann who sat on this committee, when other AEC officials discontinued funding for the project. Goldstine also recounts the problems that arose during the project over patent rights and their resolution. Goldstine concludes by discussing the many visitors to the project and the many computers (Whirlwind, ILLIAC, JOHNNIAC, IBM 70l) modeled after the IAS computer. 2 HERMAN GOLDSTINE INTERVIEW DATE: 11 August 1980 INTERVIEWER: Nancy Stern LOCATION: Princeton, NJ STERN: This is an interview with Herman Goldstine in his home; August 11, 1980. What I'd like to talk about, Herman, for the most part today, is your work with von Neumann at the Institute; that is, the computer project at the Institute; because we've spoken in the past about the Moore School work. -
History of ENIAC
A Short History of the Second American Revolution by Dilys Winegrad and Atsushi Akera (1) Today, the northeast corner of the old Moore School building at the University of Pennsylvania houses a bank of advanced computing workstations maintained by the professional staff of the Computing and Educational Technology Service of Penn's School of Engineering and Applied Science. There, fifty years ago, in a larger room with drab- colored walls and open rafters, stood the first general purpose electronic computer, the Electronic Numerical Integrator And Computer, or ENIAC. It spanned 150 feet in width with twenty banks of flashing lights indicating the results of its computations. ENIAC could add 5,000 numbers or do fourteen 10-digit multiplications in a second-- dead slow by present-day standards, but fast compared with the same task performed on a hand calculator. The fastest mechanical relay computers being operated experimentally at Harvard, Bell Laboratories, and elsewhere could do no more than 15 to 50 additions per second, a full two orders of magnitude slower. By showing that electronic computing circuitry could actually work, ENIAC paved the way for the modern computing industry that stands as its great legacy. ENIAC was by no means the first computer. In 1839, an Englishman Charles Babbage designed and developed the first true mechanical digital computer, which he described as a "difference engine," for solving mathematical problems including simple differential equations. He was assisted in his work by a woman mathematician, Ada Countess Lovelace, a member of the aristocracy and the daughter of Lord Byron. They worked out the mathematics of mechanical computation, which, in turn, led Babbage to design the more ambitious analytical engine. -
The 1999 Notices Index, Volume 46, Number 11
index.qxp 10/15/99 11:17 AM Page 1480 The 1999 Notices Index Index Section Page Number The AMS 1480 Meetings Information 1489 Announcements 1481 Memorial Articles 1490 Authors of Articles 1482 New Publications Offered by the AMS 1490 Reference and Book List 1420 Officers and Committee Members 1490 Deaths of Members of the Society 1483 Opinion 1490 Education 1484 Opportunities 1490 Feature Articles 1484 Prizes and Awards 1491 Forum 1485 Articles on the Profession 1492 Letters to the Editor 1486 Reviews 1492 Mathematicians 1487 Surveys 1493 Mathematics Articles 1489 Tables of Contents 1493 Mathematics History 1489 About the Cover, 26, 245, 318, 420, 534, 658, 781, 918, AMS Meeting in August 2000, 355 1073, 1208, 1367 AMS Menger Awards at the 1999 Intel-International Science and Engineering Fair, 912 Acknowledgment of Contributions, 947 AMS Officers and Committee Members, 1271 AMS Participates in Capitol Hill Exhibition, 918 The AMS AMS Participates in Faculty Preparation Program, 1072 1998 Election Results, 266 AMS Short Courses, 1171 1998 Report of the Committee on Meetings and Confer- AMS Standard Cover Sheet, 60, 270, 366, 698, 972, 1102, ences, 810 1282, 1428 1999 AMS Centennial Fellowships Awarded, 684 (The) Birth of an AMS Meeting, 1029 1999 AMS Election, 58, 267 Bylaws of the American Mathematical Society, 1252 1999 AMS-MAA-SIAM Morgan Prize, 469 Call for Proposals for 2001 Conferences, 1177, 1331 1999 Arnold Ross Lectures, 692 Conference Announced (Summer Mathematics Experience: 1999 Bôcher Prize, 463 A Working Conference on Summer