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JOHN WILDER TUKEY 16 June 1915 — 26 July 2000
Tukey second proof 7/11/03 2:51 pm Page 1 JOHN WILDER TUKEY 16 June 1915 — 26 July 2000 Biogr. Mems Fell. R. Soc. Lond. 49, 000–000 (2003) Tukey second proof 7/11/03 2:51 pm Page 2 Tukey second proof 7/11/03 2:51 pm Page 3 JOHN WILDER TUKEY 16 June 1915 — 26 July 2000 Elected ForMemRS 1991 BY PETER MCCULLAGH FRS University of Chicago, 5734 University Avenue, Chicago, IL 60637, USA John Wilder Tukey was a scientific generalist, a chemist by undergraduate training, a topolo- gist by graduate training, an environmentalist by his work on Federal Government panels, a consultant to US corporations, a data analyst who revolutionized signal processing in the 1960s, and a statistician who initiated grand programmes whose effects on statistical practice are as much cultural as they are specific. He had a prodigious knowledge of the physical sci- ences, legendary calculating skills, an unusually sharp and creative mind, and enormous energy. He invented neologisms at every opportunity, among which the best known are ‘bit’ for binary digit, and ‘software’ by contrast with hardware, both products of his long associa- tion with Bell Telephone Labs. Among his legacies are the fast Fourier transformation, one degree of freedom for non-additivity, statistical allowances for multiple comparisons, various contributions to exploratory data analysis and graphical presentation of data, and the jack- knife as a general method for variance estimation. He popularized spectrum analysis as a way of studying stationary time series, he promoted exploratory data analysis at a time when the subject was not academically respectable, and he initiated a crusade for robust or outlier-resist- ant methods in statistical computation. -
Notices: Highlights
------------- ----- Tacoma Meeting (June 18-20)-Page 667 Notices of the American Mathematical Society June 1987, Issue 256 Volume 34, Number 4, Pages 601 - 728 Providence, Rhode Island USA ISSN 0002-9920 Calendar of AMS Meetings THIS CALENDAR lists all meetings which have been approved by the Council prior to the date this issue of Notices was sent to the press. The summer and annual meetings are joint meetings of the Mathematical Association of America and the American Mathematical Society. The meeting dates which fall rather far in the future are subject to change; this is particularly true of meetings to which no numbers have yet been assigned. Programs of the meetings will appear in the issues indicated below. First and supplementary announcements of the meetings will have appeared in earlier issues. ABSTRACTS OF PAPERS presented at a meeting of the Society are published in the journal Abstracts of papers presented to the American Mathematical Society in the issue corresponding to that of the Notices which contains the program of the meeting. Abstracts should be submitted on special forms which are available in many departments of mathematics and from the headquarter's office of the Society. Abstracts of papers to be presented at the meeting must be received at the headquarters of the Society in Providence, Rhode Island, on or before the deadline given below for the meeting. Note that the deadline for abstracts for consideration for presentation at special sessions is usually three weeks earlier than that specified below. For additional information. consult the meeting announcements and the list of organizers of special sessions. -
John W. Tukey 1915–2000
John W. Tukey 1915–2000 A Biographical Memoir by David R. Brillinger 2018 National Academy of Sciences. Any opinions expressed in this memoir are those of the author and do not necessarily reflect the views of the National Academy of Sciences. JOHN WILDER TUKEY June 16, 1915–July 26, 2000 Elected to the NAS, 1961 John Wilder Tukey was renowned for research and service in academia, industry, and government. He was born June 16, 1915, in New Bedford, Massachusetts, the only child of Adah M. Takerand Ralph H. Tukey. His parents had grad- uated first and second in the Bates College class of 1898. John had unusual talents from an early age. He could read when he was three, and had remarkable powers of mental calculation. His father had obtained a doctorate in Latin from Yale University and then moved on to teach and be principal at New Bedford High School. His mother was a substitute teacher there. Perhaps as a consequence of these backgrounds, Tukey was schooled at home, but he did attend various classes at the high school. By David R. Brillinger Tukey’s wife, Elizabeth Rapp, was born on March 2, 1920, in Ocean City, New Jersey. She went to Temple Univer- sity and was later valedictorian in the 1944 class in business administration at Radcliffe College. About meeting John, she commented that the first time she saw him he was sitting in the front row of a public lecture asking quite difficult questions of the speaker. They later met at a folkdance class that John was teaching. -
26 February 2016 ECE 438 Lecture Notes
ECE 438 Lecture Notes Page 1 2/26/2016 Computer Pioneers - James William Cooley 2/26/16, 10:58 AM IEEE-CS Home | IEEE Computer Society History Committee Computer Pioneers by J. A. N. Lee « Cook, Stephen A. index Coombs, Allen W. M. » James William Cooley Born September 18, 1926; with John Tukey, creator of the fast Fourier transform. Education: BA, arts, Manhattan College, 1949; MA, mathematics, Columbia University, 1951; PhD, applied mathematics, Columbia University, 1961. Professional Experience: programmer, Institute for Advanced Study, Princeton University, 1953-1956; research assistant, mathematics, Courant Institute, New York University, 1956-1962; research staff, IBM Watson Research Center, 1962-1991; professor, electrical engineering, University of Rhode Island, 1991-present. Honors and Awards: Contribution Award, Audio and Acoustics Society, 1976; Meritorious Service Award, ASSP Society, 1980; Society Award, Acoustics Speech and Signal Processing, 1984; IEEE Centennial Award, 1984; fellow, IEEE James W. Cooley started his career in applied mathematics and computing when he worked and studied under Professor F.J. Murray at Columbia University. He then became a programmer in the numerical weather prediction group at John von Neumann's computer project at the Institute for Advanced Study in Princeton, New Jersey. [See the biography of Jule Charney.] In 1956, he started working as a research assistant at the Courant Institute at New York University, New York. Here he worked on numerical methods and programming of quantum mechanical calculations (Cooley 1961). This led to his thesis for his PhD degree from Columbia University. In 1962 he obtained a position as a research staff member at the IBM Watson Research Center in Yorktown Heights, New York. -
From the Collections of the Seeley G. Mudd Manuscript Library, Princeton, NJ
From the collections of the Seeley G. Mudd Manuscript Library, Princeton, NJ These documents can only be used for educational and research purposes (“Fair use”) as per U.S. Copyright law (text below). By accessing this file, all users agree that their use falls within fair use as defined by the copyright law. They further agree to request permission of the Princeton University Library (and pay any fees, if applicable) if they plan to publish, broadcast, or otherwise disseminate this material. This includes all forms of electronic distribution. Inquiries about this material can be directed to: Seeley G. Mudd Manuscript Library 65 Olden Street Princeton, NJ 08540 609-258-6345 609-258-3385 (fax) [email protected] U.S. Copyright law test The copyright law of the United States (Title 17, United States Code) governs the making of photocopies or other reproductions of copyrighted material. Under certain conditions specified in the law, libraries and archives are authorized to furnish a photocopy or other reproduction. One of these specified conditions is that the photocopy or other reproduction is not to be “used for any purpose other than private study, scholarship or research.” If a user makes a request for, or later uses, a photocopy or other reproduction for purposes in excess of “fair use,” that user may be liable for copyright infringement. The Princeton Mathematics Community in the 1930s Transcript Number 36 (PMC36) © The Trustees of Princeton University, 1985 ALBERT TUCKER OVERVIEW OF MATHEMATICS AT PRINCETON IN THE 1930s This is an interview on 8 October 1984 of Albert Tucker in Princeton, New Jersey. -
What We Learned from the PDP-11
ABSTRACT Gordon Bell, William Il. Strecker November 8, 1975 COMPUTER STRUCTURES: WHAT HAVE WE LEARNED FROM THE PDP-ll? Over the FDP-11’S six year life behave in a particular way? about 20,000 specimens have been Where does it get inputs? HOW built based on 10 species (models). does it formulate and solve Al though range was a design goal, problems? it was unquantified; the actual range has exceeded expectations 3. The rest of the DEC (5OO:l in memory size and system organization--this includes price]. The range has stressed the applications groups assoc ia ted baa ic mini (mall computer with market groups # sales, architecture along all dimensions. service and manufacturing. The marn PM.5 structure, i.e. the UNIBUS, has been adopted as a de 4. The user, who receives the facto standard of interconnection final OUtQUt. for many micro and minicomputer systems. The architectural Note, that if we assume that a experience gained in the design and QrOduc t is done sequentially, and use of the PDP-11 will be described each stage has a gestation time of in terms Of its environment about two years, it takes roughly (initial goals and constraints, eight years for an idea from basic technology, and the organization research to finally appear at the that designs, builds and user’s site. Other organizations distributes the machine). ala0 affect the design : competitors (they establish a deaign level and determine the product life): and government IsI 1.0 TNTRODUCTTON and standards. There are an ever increasing number Although one might think that of groups who feel compel led to computer architecture is the sole control all products bringing them determinant of a machine, it is all common norm : the merely the focal point for a government (“5) , testing groups such specification. -
50(1) P164-180.Pdf
Title サヴェジ氏の略伝 Author(s) 園, 信太郎 Citation 經濟學研究, 50(1), 164-180 Issue Date 2000-06 Doc URL http://hdl.handle.net/2115/32191 Type bulletin (article) File Information 50(1)_P164-180. -
Gordon's Personal View of Personal Computing: Before the PC
Gordon’s Personal View of Personal Computing: before the PC Vintage Computer Society 27 September 1998 Gordon Bell [email protected] http://www.research.microsoft.com/~gbell Apple II First personal computer Micral In the beginning: Manchester “Baby” ran the first program 22 June 1948 English Electric Deuce Console 1955 Whirlwind c1953 … 1st generation, 16-bit word; 4 KB memory; 8 K drum Whirlwind begot TX-O/TX-2 begot DEC PDP-1 Real time, first compiler, ECAD, text editor Whirlwind console, drum, 1 Kw core SAGE Control Room c 1962. Whirlwind used for first experiments. SAGE (Semi-Automatic Ground Environment) Operator Console TX-0 Console c1959… one of the first transistorized personal computers Speech, handwriting recognition, neuro data analysis, etc. Interactive editors, debuggers, etc. MIT Speech group with TX-0, c1959. DEC Computer before PDP-11 1957 1961 1963 DEC PDP-1 c1961 Wes Clark & LINC c1962: Personal computers for bio-medical research PDP-5 c1964: PDP-8 predecessor Process control, real time experiments. Fortran ran in 4 K, 12 bit words Gbell with LINC and PDP-8 c1965 PDP-8: first mini First OEM computer. OS/8 (from timesharing) begot RT-11 begot CPM PDP-8 Modules PDP-8/E PDP-8 and Linc Family Tree PDP-8 12 bit word price (t) PDP-8 prices (t) Timesharing: given everyone their own, low cost, personal computer PDP-6 c1965 : First commercial time shared computer. Gbell & Alan Kotok PDP-6 Development team c1965 PDP-6/10/ DECsystem 10/20 family tree TThheerree iiss nnoo rreeaassoonn aannyyoonnee wwoouulldd wwaanntt aa ccoommppuutteerr iinn tthheeiirr hhoommee. -
Congress Passes Science and Mathematics Education Bill
THE NEWSLETTER OF THE MATHEMATICAL ASSOCIATION OF AMERICA VOLUME 4 NUMBER 4 SEPTEMBER 1984 Congress Passes Science and Mathematics Education Bill . Peter Farnham n July 25, 1984, the House agreed overwhelmingly to tionary projects. Professional societies or associations "in approve the Education for Economic Security Act the fields of mathematics, physical or biological sciences, O(S.1285), a massive science and mathematics educa or engineering" may enter into cooperative agreements with tion bill. S.1285was approved by the Senate Labor and Human NSF, local education agencies, or institutions of higher edu Resources Committee in May 1983, but languished at that cation to develop 1) teacher training and retraining pro point until late June 1984, when it was finally passed by the grams, and 2) instructional programs and materials in sci Senate. The House version of the bill, H.R. 1310, passed the ence and mathematics. House in March 1983. Title II is primarily a formula grant program administered The long delay in securing Senate approval of the bill was by the Department of Education, and carries an authorization caused by a controversial "equal access" amendment, which of $350 million for FY 1984 and $400 million for FY 1985. allows religious student groups to meet on school property Ninety percent of the funds will be made available to the after classes. This amendment was opposed by civil liber states; of those funds, 70% will be passed on to local edu tarians on grounds that it infringed on the separation of cation agencies and 30% to state higher education agencies church and state. -
Thesis May Never Have Been Completed
UvA-DARE (Digital Academic Repository) Digital Equipment Corporation (DEC): A case study of indecision, innovation and company failure Goodwin, D.T. Publication date 2016 Document Version Final published version Link to publication Citation for published version (APA): Goodwin, D. T. (2016). Digital Equipment Corporation (DEC): A case study of indecision, innovation and company failure. General rights It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. UvA-DARE is a service provided by the library of the University of Amsterdam (https://dare.uva.nl) Download date:26 Sep 2021 Digital Equipment Corporation (DEC) (DEC) Corporation Digital Equipment David Thomas David Goodwin Digital Equipment Corporation (DEC): A Case Study of Indecision, Innovation and Company Failure David Thomas Goodwin Digital Equipment Corporation (DEC): A Case Study of Indecision, Innovation and Company Failure David Thomas Goodwin 1 Digital Equipment Corporation (DEC): A Case Study of Indecision, Innovation and Company Failure ACADEMISCH PROEFSCHRIFT ter verkrijging van de graad van doctor aan de Universiteit van Amsterdam op gezag van de Rector Magnificus prof. -
Bell's Law of Computer Classes
Bell’s Law; P,M,S Structures; Rules of thumb; and Taxonomies 1957-1998. 41 yrs. 4 generations: Tubes > transistors > ICs, VLSI (micros) > clusters - winner take all How computer classes form, evolve …and die (according to economically based laws) Gordon Bell Microsoft Research, Silicon Valley Laboratory References Moore’s Law http://www.computerhistory.org/semiconductor/timeline/1965-Moore.html Bell’s Law: http://research.microsoft.com/research/pubs/view.aspx?0rc=p&type=technical +report&id=1389 Bell, C. G., R. Chen and S. Rege, "The Effect of Technology on Near Term Computer Structures," Computer 2 (5) 29-38 (March/April 1972). IEEE History Center's Global History Network: http://ieeeghn.org/wiki/index.php/STARS:Rise_and_Fall_of_Minicomputers In retrospect…by 1971, the next 50 years of computing was established 1. Moore’s Law (1965) transistors/die double every 18 mos. 2. Intel 4004, Processor-on-a-chip (1971) Clearly, by 1978 16-bit processor-on-a-chip 3. Bell et al 1971 observation...computer evolution 1. Computers evolve at constant price (Moore’s Law) 2. Computer clases form every decade (Bell’s Law) New technology, manufacturers, uses and markets How I think about computers • P,M,S describes architectures i.e. the components and how they are interconnected and interact – Reveals structure (size, cost, performance, power, etc.) – Parallelism, bottlenecks, and rules of thumb – Functional evolution to compete with larger computers • Bell’s Law determines classes birth & death • Rules of thumb determine goodness • Taxonomies enumerate alternatives A Walk-Through Computer Architectures from The Largest & Fastest to the Digestible Computers have evolved from a bi-furcation of: • calculating (P) aka scientific and record keeping (M) aka commerce to • control (K), • interfacing (T/Transduction) including GUIs, NUI, and • Communication (L), switching (S) and networking (N) Every information carrier from greeting cards to phones is an embedded computer. -
“. . . How Wonderful the Field of Statistics Is.
4 “. how wonderful the field of statistics is. ” David R. Brillinger Department of Statistics University of California, Berkeley, CA 4.1 Introduction There are two purposes for this chapter. The first is to remind/introduce readers to some of the important statistical contributions and attitudes of the great American scientist John W. Tukey. The second is to take note of the fact that statistics commencement speeches are important elements in the communication of statistical lore and advice and not many seem to end up in the statistical literature. One that did was Leo Breiman’s 1994.1 It was titled “What is the Statistics Department 25 years from now?” Another is Tukey’s2 presentation to his New Bedford high school. There has been at least one article on how to prepare such talks.3 Given the flexibility of this COPSS volume, in particular its encourage- ment of personal material, I provide a speech from last year. It is not claimed to be wonderful, rather to be one of a genre. The speech below was delivered June 16, 2012 for the Statistics Department Commencement at the University of California in Los Angeles (UCLA) upon the invitation of the Department Chair, Rick Schoenberg. The audience consisted of young people, their rela- tives and friends. They numbered perhaps 500. The event was outdoors on a beautiful sunny day. The title and topic4 were chosen with the goal of setting before young statisticians and others interested the fact that America had produced a great scientist who was a statistician, John W. Tukey. Amongst other things he created the field Exploratory Data Analysis (EDA).