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Super Family
Super Family (Chaim Freedman, Petah Tikvah, Israel, September 2008) Yehoash (Heibish/Gevush) Super, born c.1760, died before 1831 in Latvia. He married unknown. I. Shmuel Super, born 1781,1 died by 1855 in Lutzin (now Ludza), Latvia,2 occupation alcohol trader. Appears in a list from 1837 of tax litigants who were alcohol traders in Lutzin. (1) He married Brokha ?, born 1781 in Lutzin (now Ludza), Latvia,3 died before 1831 in Lutzin (now Ludza), Latvia.3 (2) He married Elka ?, born 1794.4 A. Payka Super, (daughter of Shmuel Super and Brokha ?) born 1796/1798 in Lutzin (now Ludza), Latvia,3 died 1859 in Lutzin (now Ludza), Latvia.5 She married Yaakov-Keifman (Kivka) Super, born 1798,6,3 (son of Sholom "Super" ?) died 1874 in Lutzin (now Ludza), Latvia.7 Yaakov-Keifman: Oral tradition related by his descendants claims that Koppel's surname was actually Weinstock and that he married into the Super family. The name change was claimed to have taken place to evade military service. But this story seems to be invalid as all census records for him and his sons use the name Super. 1. Moshe Super, born 1828 in Lutzin (now Ludza), Latvia.8 He married Sara Goda ?, born 1828.8 a. Bentsion Super, born 1851 in Lutzin (now Ludza), Latvia.9 He married Khana ?, born 1851.9 b. Payka Super, born 1854 in Lutzin (now Ludza), Latvia.10 c. Rassa Super, born 1857 in Lutzin (now Ludza), Latvia.11 d. Riva Super, born 1860 in Lutzin (now Ludza), Latvia.12 e. Mushke Super, born 1865 in Lutzin (now Ludza), Latvia.13 f. -
Is Ja Dialect of APL? Reported by Jonathan Barman Eugene Mcdonnell - the Question Is Irrelevant
VICTOR Vol.8 No.2 convert the noun back to verb and as a result various interesting control structures can be created. The verbal nouns thus formed can be put into arrays and some of the benefits that various people have suggested might arise from arrays of functions can be obtained. A design goal is to make compilation possible without limiting the expressive power of J. APL Technology of Computer Simulation, by A Boozin and I Popselov reported by Sylvia Camacho Both authors of this paper are academic mathematicians and their use of APL is just where one might expect it to be: in modelling linear differential equations and stochastic Markovian processes. Questions put showed that they first used APL 15 years ago on terminals to what was described as 'a big old computer'. Currently they use APL*PLUS/PC. They have set up an environment in which they can split the screen and display data graphically with some zoom facilities. This environment can be used in conjunction with raw APL while exploring the results of a model, or can be used in conjunction with data derived from APL or some other source. In fact it is often used by Pascal programmers. Most recently they have been setting up economic models to try to come to terms with the consequences of decentralisation and privatisation. They use both Roman and Cyrillic alphabets. Panel: Is Ja Dialect of APL? reported by Jonathan Barman Eugene McDonnell - The question is irrelevant. Surely proponents of J would not be thrown out of the APL community? Garth Foster - J is quite definitely not APL. -
An APL Subset Interpreter for a New Chip Set / by James Hoskin
An APL Subset Interpreter for a New Chip Set James Hoskin MSc (Physics), University of Calgary A THESIS SUBMI 1 TED IN L'ARTlAl f Ul FILLMENT OF THE REQUIKEMENTS FOR THE DEGREE OF MASTER OF SCIFNCE In the School of Cornput~ngSc~enre " James Hosk~n1987 SIMON FRASER UNIVERSITY May 1987 All rights reserved This thesis may not be reproduced in whole or in part. by photocopy or other means w~thoutthe permission of the author Approval Title of Thesis: An APL Subset Interpreter for a New Chip Set Name. James D Hoskin Degree: Master of ~iience Examining Committee. Chairperson. Dr. W. S. Luk Dr. R. F. Hobson Senior Supervisor Dr J& Weinkam,"I/, Dr. R. D. Cameron External Examiner Dr. Carl McCrosky External Examiner April 28, 1987 Date Approved: PART IAL COPYR l GHT L ICENSE I hereby grant to Simon Fraser University the right to lend my thesis, project or extended essay (the title of which is shown below) to users of the Simon Fraser University Library, and to make partial or single copies only for such users or in response to a request from the library of any other university, or other educational institution, on its own behalf or for one of its users. I further agree that permission for multiple copying of this work for scholarly purposes may be granted by me or the Dean of Graduate Studies. It is understood that copying or publication of this work for financial gain shall not be allowed without my written permission. Title of Thesis/Project/Extended Essay -- - Author: (signature) (date) Abstract The APL language provides a powerful set of functions and operators to handle dynamic array data. -
KDB Kernel Debugger and Kdb Command
AIX Version 7.2 KDB kernel debugger and kdb command IBM Note Before using this information and the product it supports, read the information in “Notices” on page 323. This edition applies to AIX Version 7.2 and to all subsequent releases and modifications until otherwise indicated in new editions. © Copyright International Business Machines Corporation 2015. US Government Users Restricted Rights – Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. Contents About this document.............................................................................................ix Highlighting..................................................................................................................................................ix Case-sensitivity in AIX................................................................................................................................ ix ISO 9000......................................................................................................................................................ix KDB kernel debugger and kdb command................................................................ 1 KDB kernel debugger................................................................................................................................... 1 Invoking the KDB kernel debugger........................................................................................................ 2 The kdb command..................................................................................................................................3 -
Compendium of Technical White Papers
COMPENDIUM OF TECHNICAL WHITE PAPERS Compendium of Technical White Papers from Kx Technical Whitepaper Contents Machine Learning 1. Machine Learning in kdb+: kNN classification and pattern recognition with q ................................ 2 2. An Introduction to Neural Networks with kdb+ .......................................................................... 16 Development Insight 3. Compression in kdb+ ................................................................................................................. 36 4. Kdb+ and Websockets ............................................................................................................... 52 5. C API for kdb+ ............................................................................................................................ 76 6. Efficient Use of Adverbs ........................................................................................................... 112 Optimization Techniques 7. Multi-threading in kdb+: Performance Optimizations and Use Cases ......................................... 134 8. Kdb+ tick Profiling for Throughput Optimization ....................................................................... 152 9. Columnar Database and Query Optimization ............................................................................ 166 Solutions 10. Multi-Partitioned kdb+ Databases: An Equity Options Case Study ............................................. 192 11. Surveillance Technologies to Effectively Monitor Algo and High Frequency Trading .................. -
APL Literature Review
APL Literature Review Roy E. Lowrance February 22, 2009 Contents 1 Falkoff and Iverson-1968: APL1 3 2 IBM-1994: APL2 8 2.1 APL2 Highlights . 8 2.2 APL2 Primitive Functions . 12 2.3 APL2 Operators . 18 2.4 APL2 Concurrency Features . 19 3 Dyalog-2008: Dyalog APL 20 4 Iverson-1987: Iverson's Dictionary for APL 21 5 APL Implementations 21 5.1 Saal and Weiss-1975: Static Analysis of APL1 Programs . 21 5.2 Breed and Lathwell-1968: Implementation of the Original APLn360 25 5.3 Falkoff and Orth-1979: A BNF Grammar for APL1 . 26 5.4 Girardo and Rollin-1987: Parsing APL with Yacc . 27 5.5 Tavera and other-1987, 1998: IL . 27 5.6 Brown-1995: Rationale for APL2 Syntax . 29 5.7 Abrams-1970: An APL Machine . 30 5.8 Guibas and Wyatt-1978: Optimizing Interpretation . 31 5.9 Weiss and Saal-1981: APL Syntax Analysis . 32 5.10 Weigang-1985: STSC's APL Compiler . 33 5.11 Ching-1986: APL/370 Compiler . 33 5.12 Ching and other-1989: APL370 Prototype Compiler . 34 5.13 Driscoll and Orth-1986: Compile APL2 to FORTRAN . 35 5.14 Grelck-1999: Compile APL to Single Assignment C . 36 6 Imbed APL in Other Languages 36 6.1 Burchfield and Lipovaca-2002: APL Arrays in Java . 36 7 Extensions to APL 37 7.1 Brown and Others-2000: Object-Oriented APL . 37 1 8 APL on Parallel Computers 38 8.1 Willhoft-1991: Most APL2 Primitives Can Be Parallelized . 38 8.2 Bernecky-1993: APL Can Be Parallelized . -
A Lambda Calculus for Transfinite Arrays
1 A Lambda Calculus for Transfinite Arrays Unifying Arrays and Streams ARTJOMS ŠINKAROVS, Heriot-Watt University SVEN-BODO SCHOLZ, Heriot-Watt University Array programming languages allow for concise and generic formulations of numerical algorithms, thereby providing a huge potential for program optimisation such as fusion, parallelisation, etc. One of the restric- tions that these languages typically have is that the number of elements in every array has to be finite. This means that implementing streaming algorithms in such languages requires new types of data structures, with operations that are not immediately compatible with existing array operations or compiler optimisations. In this paper, we propose a design for a functional language that natively supports infinite arrays. We use ordinal numbers to introduce the notion of infinity in shapes and indices. By doing so, we obtain a calculus that naturally extends existing array calculi and, at the same time, allows for recursive specifications as they are found in stream- and list-based settings. Furthermore, the main language construct that can be thought of as an n-fold cons operator gives rise to expressing transfinite recursion in data, something that lists or streams usually do not support. This makes it possible to treat the proposed calculus as a unifying theory of arrays, lists and streams. We give an operational semantics of the proposed language, discuss design choices that we have made, and demonstrate its expressibility with several examples. We also demonstrate that the proposed formalism preserves a number of well-known universal equalities from array/list/stream theories, and discuss implementation-related challenges. -
K.E.Iverson and APL.J
K.E.Iverson Kenneth Iverson Charismatic mathematician who invented the APL computer programming language A GIFTED mathematician and a charismatic teacher, Ken Iverson made a highly influential contribution to the field of computer science. In the early 1960s a mathematical notation which he had developed as an aide to teaching algebra formed the basis of APL, one of the languages used in programming IBM’s early mainframe computer, the System/360. This concise and powerful language contributed substantially to IBM’s domination of the emerging computer industry during the 1960s and 1970s. Kenneth Eugene Iverson was born in Camrose, Alberta, Canada, in 1920. He demonstrated an early aptitude for mathematics ― he taught himself calculus in his teens. During the Second World War he served in the Royal Canadian Air Force as a flight engineer specialising in reconnaissance. After the war he obtained a degree in mathematics and physics from Queen’s University, Ontario, and went on to postgraduate study at Harvard where, in 1954, he obtained a doctorate in applied mathematics, and from 1955 to 1960 he was assistant professor of applied mathematics. During this period he developed a novel way of teaching algebra to students, the “Iverson notation”. It attracted the interest of IBM, which was already well established in commercial and scientific computing fields and was developing a new mainframe, the System/360. IBM recruited Iverson and three colleagues to turn his teaching notation into a program- ming language which could be used on the System/360. The result, expounded in his book A Programming Language (1962), came to be known as APL. -
The Computational Attitude in Music Theory
The Computational Attitude in Music Theory Eamonn Bell Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2019 © 2019 Eamonn Bell All rights reserved ABSTRACT The Computational Attitude in Music Theory Eamonn Bell Music studies’s turn to computation during the twentieth century has engendered particular habits of thought about music, habits that remain in operation long after the music scholar has stepped away from the computer. The computational attitude is a way of thinking about music that is learned at the computer but can be applied away from it. It may be manifest in actual computer use, or in invocations of computationalism, a theory of mind whose influence on twentieth-century music theory is palpable. It may also be manifest in more informal discussions about music, which make liberal use of computational metaphors. In Chapter 1, I describe this attitude, the stakes for considering the computer as one of its instruments, and the kinds of historical sources and methodologies we might draw on to chart its ascendance. The remainder of this dissertation considers distinct and varied cases from the mid-twentieth century in which computers or computationalist musical ideas were used to pursue new musical objects, to quantify and classify musical scores as data, and to instantiate a generally music-structuralist mode of analysis. I present an account of the decades-long effort to prepare an exhaustive and accurate catalog of the all-interval twelve-tone series (Chapter 2). This problem was first posed in the 1920s but was not solved until 1959, when the composer Hanns Jelinek collaborated with the computer engineer Heinz Zemanek to jointly develop and run a computer program. -
Kenneth E. Iverson
Kenneth E. Iverson Born December 17, 1920, Camrose, Alberta, Canada; with Adin Falkoff, inventor and implementer of the programming language APL. Education: BA, mathematics, Queen's University at Kingston, Ont., 1950; MA, mathematics, Harvard University, 1951; PhD, applied mathematics, Harvard University, 1954. Professional Experience: assistant professor, Harvard University, 1955-1960; research division, IBM Corp., 1960-1980; I.P. Sharp Associates, 1980-1987. Honors and Awards: IBM Fellow, 1970; AFIPS Harry Goode Award, 1975; ACM Turing Award, 1979; IEEE Computer Pioneer Award, 1982; National Medal of Technology, 1991; member, National Academy of Engineering. Iverson has been one of those lucky individuals who has been able to start his career with a success and for over 35 years build on that success by adding to it, enhancing it, and seeing it develop into a successful commercial property. His book A Programming Language set the stage for a concept whose peculiar character set would have appeared to eliminate it from consideration for implementation on any computer. Adin Falkoff is credited by Iverson for picking the name APL for the programming language implementation, and the introduction of the IBM “golf-ball” typewriter, with the replacement typehead, which provided the character set to represent programs. The programming language became the language of enthusiasts (some would say fanatics) and the challenge of minimalists to contain as much processing as possible within one line of code. APL has outlived many other languages and its enthusiasts range from elementary school students to research scientists. BIBLIOGRAPHY Biographical Falkoff, Adin D., and Kenneth E. Iverson, “The Evolution of APL,” in Wexelblat, Richard L., ed., History of Programming Languages, Academic Press, New York, 1981, Chapter 14. -
A Development of APL2 Syntax
A development by James A. Brown of APL2 syntax This paper develops the rules governing the When language extensions are proposed we find that the writing of APL2 expressions and discusses the familiar rules do not cover all cases. For example, A PL 1 principles that motivated design decisions. has the concept of an operator (for example, /) applying to a function (for example, +) and producing a new function (called summation). In APL 2 operators are generalized so 1. introduction that they can apply to all functions—including those IBM has numerous products which follow the IBM internal produced by other operators. Therefore a syntactic decision standard for 4PL {VSAPL, APLSV, PC APL, SlOO has to be made about the meaning of a statement like A PL). In this paper this level of the A PL language is referred to as A PL 1. + .X/ APL2 is based on this writer's Ph.D. thesis [1], the array theory of Trenchard More [2], and most of all on APLl. It (where " . " is the matrix product operator). This could incorporates extensions to data structures, to primitive mean either operations, and to syntax. Those wishing a complete ( + .x)/or + .(x/) description of A PL 2 may refer to the A PL 2 publications library listed in the general references. The only extensions Operators are extended so that they take arrays as covered here are those which have an effect on the syntax of operands. Therefore, if "Z)OP" is a dyadic operator taking the language and those implied by the simplifications of an array right operand, syntax. -
Egyptian 1967
Southern Illinois University Carbondale OpenSIUC August 1967 Daily Egyptian 1967 8-11-1967 The aiD ly Egyptian, August 11, 1967 The aiD ly Egyptian Staff Follow this and additional works at: http://opensiuc.lib.siu.edu/de_August1967 Volume 48, Issue 198 Recommended Citation , . "The aiD ly Egyptian, August 11, 1967." (Aug 1967). This Article is brought to you for free and open access by the Daily Egyptian 1967 at OpenSIUC. It has been accepted for inclusion in August 1967 by an authorized administrator of OpenSIUC. For more information, please contact [email protected]. Student Response Computer System - ~ Installed in Lawson Students taking classes in could by used In a lecture when Lawson 121 tbis fall will find a test is not being given, a unique ~l of seven buttons Winsor said. at eacb seat-- all pan of a The system at SID, called sop histlcated computer tbe Student Responder System, response s ystem being com is one ot only a few In tbe pleted tbls week. country, Winsor said. Unlque The seven button panel will features of SID's system w!ll have three basic functions witb many variations, said Donald :e t~~o~;~~~~Ho~~:t~~~~~ 1- L. Winsor, assistant pro cbange answers. fessor in audio-visual ser vices and 'director of the pro Cost of tbe project was est ject. imated at between $30,000 and $40,000, Winsor said. The A student will be able to unit Is bUit by General El answer test questions by push ectric and Is be!t}g-thstalled ing one of tbe numbered buttons by Goldberg....K O'Brien· and change his answer by Electrical/ Co mpa n y of simply pushing a Sf correct" C bicago.