Programming Languages: History and Future
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A Quick Guide to Southeast Florida's Coral Reefs
A Quick Guide to Southeast Florida’s Coral Reefs DAVID GILLIAM NATIONAL CORAL REEF INSTITUTE NOVA SOUTHEASTERN UNIVERSITY Spring 2013 Prepared by the Land-based Sources of Pollution Technical Advisory Committee (TAC) of the Southeast Florida Coral Reef Initiative (SEFCRI) BRIAN WALKER NATIONAL CORAL REEF INSTITUTE, NOVA SOUTHEASTERN Southeast Florida’s coral-rich communities are more valuable than UNIVERSITY the Spanish treasures that sank nearby. Like the lost treasures, these amazing reefs lie just a few hundred yards off the shores of Martin, Palm Beach, Broward and Miami-Dade Counties where more than one-third of Florida’s 19 million residents live. Fishing, diving, and boating help attract millions of visitors to southeast Florida each year (30 million in 2008/2009). Reef-related expen- ditures generate $5.7 billion annually in income and sales, and support more than 61,000 local jobs. Such immense recreational activity, coupled with the pressures of coastal development, inland agriculture, and robust cruise and commercial shipping industries, threaten the very survival of our reefs. With your help, reefs will be protected from local stresses and future generations will be able to enjoy their beauty and economic benefits. Coral reefs are highly diverse and productive, yet surprisingly fragile, ecosystems. They are built by living creatures that require clean, clear seawater to settle, mature and reproduce. Reefs provide safe havens for spectacular forms of marine life. Unfortunately, reefs are vulnerable to impacts on scales ranging from local and regional to global. Global threats to reefs have increased along with expanding ART SEITZ human populations and industrialization. Now, warming seawater temperatures and changing ocean chemistry from carbon dioxide emitted by the burning of fossil fuels and deforestation are also starting to imperil corals. -
Computer Managed Instruction in Navy Training. INSTITUTION Naval Training Equipment Center, Orlando, Fla
DOCUMENT RESUME ED 089 780 IR 000 505 AUTHOR Middleton, Morris G.; And Others TITLE Computer Managed Instruction in Navy Training. INSTITUTION Naval Training Equipment Center, Orlando, Fla. Training Analysis and Evaluation Group. REPORT NO NAVTRADQUIPCEN-TAEG-14 PUB DATE Mar 74 NOTE 107p. ERRS PRICE MF-$0.75 HC-$5.40 PLUS POSTAGE DESCRIPTORS *Computer Assisted Instruction; Computers; Cost Effectiveness; Costs; *Educational Programs; *Feasibility Studies; Individualized Instruction; *Management; *Military Training; Pacing; Programing Languages; State of the Art Reviews IDENTIFIERS CMI; *Computer Managed Instruction; Minicomputers; Shipboard Computers; United States Navy ABSTRACT An investigation was made of the feasibility of computer-managed instruction (CMI) for the Navy. Possibilities were examined regarding a centralized computer system for all Navy training, minicomputers for remote classes, and shipboard computers for on-board training. The general state of the art and feasibility of CMI were reviewed, alternative computer languages and terminals studied, and criteria developed for selecting courses for CMI. Literature reviews, site visits, and a questionnaire survey were conducted. Results indicated that despite its high costs, CMI was necessary if a significant number of the more than 4000 Navy training courses were to become individualized and self-paced. It was concluded that the cost of implementing a large-scale centralized computer system for all training courses was prohibitive, but that the use of minicomputers for particular courses and for small, remote classes was feasible. It was also concluded that the use of shipboard computers for training was both desirable and technically feasible, but that this would require the acquisition of additional minicomputers for educational purposes since the existing shipboard equipment was both expensive to convert and already heavily used for other purposes. -
Typology of Programming Languages E Early Languages E
Typology of programming languages e Early Languages E Typology of programming languages Early Languages 1 / 71 The Tower of Babel Typology of programming languages Early Languages 2 / 71 Table of Contents 1 Fortran 2 ALGOL 3 COBOL 4 The second wave 5 The finale Typology of programming languages Early Languages 3 / 71 IBM Mathematical Formula Translator system Fortran I, 1954-1956, IBM 704, a team led by John Backus. Typology of programming languages Early Languages 4 / 71 IBM 704 (1956) Typology of programming languages Early Languages 5 / 71 IBM Mathematical Formula Translator system The main goal is user satisfaction (economical interest) rather than academic. Compiled language. a single data structure : arrays comments arithmetics expressions DO loops subprograms and functions I/O machine independence Typology of programming languages Early Languages 6 / 71 FORTRAN’s success Because: programmers productivity easy to learn by IBM the audience was mainly scientific simplifications (e.g., I/O) Typology of programming languages Early Languages 7 / 71 FORTRAN I C FIND THE MEAN OF N NUMBERS AND THE NUMBER OF C VALUES GREATER THAN IT DIMENSION A(99) REAL MEAN READ(1,5)N 5 FORMAT(I2) READ(1,10)(A(I),I=1,N) 10 FORMAT(6F10.5) SUM=0.0 DO 15 I=1,N 15 SUM=SUM+A(I) MEAN=SUM/FLOAT(N) NUMBER=0 DO 20 I=1,N IF (A(I) .LE. MEAN) GOTO 20 NUMBER=NUMBER+1 20 CONTINUE WRITE (2,25) MEAN,NUMBER 25 FORMAT(11H MEAN = ,F10.5,5X,21H NUMBER SUP = ,I5) STOP TypologyEND of programming languages Early Languages 8 / 71 Fortran on Cards Typology of programming languages Early Languages 9 / 71 Fortrans Typology of programming languages Early Languages 10 / 71 Table of Contents 1 Fortran 2 ALGOL 3 COBOL 4 The second wave 5 The finale Typology of programming languages Early Languages 11 / 71 ALGOL, Demon Star, Beta Persei, 26 Persei Typology of programming languages Early Languages 12 / 71 ALGOL 58 Originally, IAL, International Algebraic Language. -
A Politico-Social History of Algolt (With a Chronology in the Form of a Log Book)
A Politico-Social History of Algolt (With a Chronology in the Form of a Log Book) R. w. BEMER Introduction This is an admittedly fragmentary chronicle of events in the develop ment of the algorithmic language ALGOL. Nevertheless, it seems perti nent, while we await the advent of a technical and conceptual history, to outline the matrix of forces which shaped that history in a political and social sense. Perhaps the author's role is only that of recorder of visible events, rather than the complex interplay of ideas which have made ALGOL the force it is in the computational world. It is true, as Professor Ershov stated in his review of a draft of the present work, that "the reading of this history, rich in curious details, nevertheless does not enable the beginner to understand why ALGOL, with a history that would seem more disappointing than triumphant, changed the face of current programming". I can only state that the time scale and my own lesser competence do not allow the tracing of conceptual development in requisite detail. Books are sure to follow in this area, particularly one by Knuth. A further defect in the present work is the relatively lesser availability of European input to the log, although I could claim better access than many in the U.S.A. This is regrettable in view of the relatively stronger support given to ALGOL in Europe. Perhaps this calmer acceptance had the effect of reducing the number of significant entries for a log such as this. Following a brief view of the pattern of events come the entries of the chronology, or log, numbered for reference in the text. -
Security Applications of Formal Language Theory
Dartmouth College Dartmouth Digital Commons Computer Science Technical Reports Computer Science 11-25-2011 Security Applications of Formal Language Theory Len Sassaman Dartmouth College Meredith L. Patterson Dartmouth College Sergey Bratus Dartmouth College Michael E. Locasto Dartmouth College Anna Shubina Dartmouth College Follow this and additional works at: https://digitalcommons.dartmouth.edu/cs_tr Part of the Computer Sciences Commons Dartmouth Digital Commons Citation Sassaman, Len; Patterson, Meredith L.; Bratus, Sergey; Locasto, Michael E.; and Shubina, Anna, "Security Applications of Formal Language Theory" (2011). Computer Science Technical Report TR2011-709. https://digitalcommons.dartmouth.edu/cs_tr/335 This Technical Report is brought to you for free and open access by the Computer Science at Dartmouth Digital Commons. It has been accepted for inclusion in Computer Science Technical Reports by an authorized administrator of Dartmouth Digital Commons. For more information, please contact [email protected]. Security Applications of Formal Language Theory Dartmouth Computer Science Technical Report TR2011-709 Len Sassaman, Meredith L. Patterson, Sergey Bratus, Michael E. Locasto, Anna Shubina November 25, 2011 Abstract We present an approach to improving the security of complex, composed systems based on formal language theory, and show how this approach leads to advances in input validation, security modeling, attack surface reduction, and ultimately, software design and programming methodology. We cite examples based on real-world security flaws in common protocols representing different classes of protocol complexity. We also introduce a formalization of an exploit development technique, the parse tree differential attack, made possible by our conception of the role of formal grammars in security. These insights make possible future advances in software auditing techniques applicable to static and dynamic binary analysis, fuzzing, and general reverse-engineering and exploit development. -
Easyaccess: Enhanced SQL Command Line Interpreter for Astronomical Surveys
easyaccess: Enhanced SQL command line interpreter for astronomical surveys Matias Carrasco Kind1, Alex Drlica-Wagner2, Audrey Koziol1, and Don Petravick1 1 National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign. 1205 W Clark St, Urbana, IL USA 61801 2 Fermi National Accelerator Laboratory, P. O. Box 500, DOI: 00.00000/joss.00000 Batavia,IL 60510, USA Software • Review Summary • Repository • Archive easyaccess is an enhanced command line interpreter and Python package created to Submitted: 00 January 0000 facilitate access to astronomical catalogs stored in SQL Databases. It provides a custom Published: 00 January 0000 interface with custom commands and was specifically designed to access data from the License Dark Energy Survey Oracle database, although it can easily be extended to another survey Authors of papers retain copyright or SQL database. The package was completely written in Python and support customized and release the work under a Cre- addition of commands and functionalities. Visit https://github.com/mgckind/easyaccess ative Commons Attribution 4.0 In- to view installation instructions, tutorials, and the Python source code for easyaccess. ternational License (CC-BY). The Dark Energy Survey The Dark Energy Survey (DES) (DES Collaboration 2005; DES Collaboration 2016) is an international, collaborative effort of over 500 scientists from 26 institutions in seven countries. The primary goals of DES are reveal the nature of the mysterious dark energy and dark matter by mapping hundreds of millions of galaxies, detecting thousands of supernovae, and finding patterns in the large-scale structure of the Universe. Survey operations began on on August 31, 2013 and will conclude in early 2019. -
A Command-Line Interface for Analysis of Molecular Dynamics Simulations
taurenmd: A command-line interface for analysis of Molecular Dynamics simulations. João M.C. Teixeira1, 2 1 Previous, Biomolecular NMR Laboratory, Organic Chemistry Section, Inorganic and Organic Chemistry Department, University of Barcelona, Baldiri Reixac 10-12, Barcelona 08028, Spain 2 DOI: 10.21105/joss.02175 Current, Program in Molecular Medicine, Hospital for Sick Children, Toronto, Ontario M5G 0A4, Software Canada • Review Summary • Repository • Archive Molecular dynamics (MD) simulations of biological molecules have evolved drastically since its application was first demonstrated four decades ago (McCammon, Gelin, & Karplus, 1977) and, nowadays, simulation of systems comprising millions of atoms is possible due to the latest Editor: Richard Gowers advances in computation and data storage capacity – and the scientific community’s interest Reviewers: is growing (Hospital, Battistini, Soliva, Gelpí, & Orozco, 2019). Academic groups develop most of the MD methods and software for MD data handling and analysis. The MD analysis • @amritagos libraries developed solely for the latter scope nicely address the needs of manipulating raw data • @luthaf and calculating structural parameters, such as: MDAnalysis (Gowers et al., 2016; Michaud- Agrawal, Denning, Woolf, & Beckstein, 2011); (McGibbon et al., 2015); (Romo, Submitted: 03 March 2020 MDTraj LOOS Published: 02 June 2020 Leioatts, & Grossfield, 2014); and PyTraj (Hai Nguyen, 2016; Roe & Cheatham, 2013), each with its advantages and drawbacks inherent to their implementation strategies. This diversity License enriches the field with a panoply of strategies that the community can utilize. Authors of papers retain copyright and release the work The MD analysis software libraries widely distributed and adopted by the community share under a Creative Commons two main characteristics: 1) they are written in pure Python (Rossum, 1995), or provide a Attribution 4.0 International Python interface; and 2) they are libraries: highly versatile and powerful pieces of software that, License (CC BY 4.0). -
Ed 060 620 Author Title Institution Spons Agency Pub Date
DOCUMENT RESUME ED 060 620 EM 009 626 AUTHOR Bork, Alfred M. TITLE Introduction to Computer Programming Languages. INSTITUTION California Univ., Irvine. Physics Computer Development Project. SPONS AGENCY National Science Foundation, Washington, D-C. PUB DATE Dec 71 NOTE 5p. JOURNAL CIT JCST; P 12-16 December 1971 EDRS PRICE MF-$0.65 HC-$3.29 DESCRIPTORS Computer Assisted Instruction; Computer Science Education; *Guides; *Programing; *Programing Languages ABSTRACT A brief introduction to computer programing explains the basic grammar of ccmputer language as well as fundamental computer techniques. What constitutes a computer program is made clear, then three simple kinds of statements basic to the computational computer are defined: assignment statements, input-output statements, and branching statements. A short description of several available computer languages is given along with an explanation of how the newcomer would make use of basic computer software. Finally, five different versions of a simple program (for solving the harmonic oscillator numerically) are given with comparison. (RB) 74.-E U.S. DEPARTMENT OF HEALTH. F749 EDUCATION & WELFARE erP\ e-"ri". "79' - A ott, Tritl OFFICE OF EDUCATION t,.4 taicta- THIS DOCUMENT HAS BEEN REPRO- DUCED EXACTLY AS RECEIVED FROM THE PERSON OR ORGANIZATION ORIG- '14r- C-1"?Fig ErtrIgf7t Or>re!9,1 2 INATING IT. POINTS OF VIEW OR OPIN- 616 ti LiS kC..".4 .2) szyj /ONS STATED DO NOT NECESSARILY cp-S.e REPRESENT OFFICIAL OFFICE OF EDU- CATION POSITION OR POLICY. By Affred M. Bork r,9 he digital computer is a powerful, calculating. andwhat the programmer wants it to do. For convenience, L logical device. -
RML Algol 60 Compiler Accepts the Full ASCII Character Set Described in the Manual
I I I · lL' I I 1UU, Alsol 60 CP/M 5yst.. I I , I I '/ I I , ALGOL 60 VERSION 4.8C REI.!AS!- NOTE I I I I CP/M Vers1on·2 I I When used with CP/M version 2 the Algol Ifste. will accept disk drive Dames extending from A: to P: I I I ASSEMBLY CODE ROUTINES I I .'n1~ program CODE.ALG and CODE.ASe 1s an aid to users who wish ·to add I their own code routines to the runtime system. The program' produc:es an I output file which contains a reconstruction of the INPUT, OUTPUT, IOC and I ERROR tables described in the manual. 1111s file forms the basis of an I assembly code program to which users may edit in their routines... Pat:ts I not required may be removed as desired. The resulting program should I then be assembled and overlaid onto the runtime system" using DDT, the I resulti;lg code being SAVEd as a new runtime system. It 1s important that. I the CODE program be run using the version of the runtimesY$tem to. which I the code routines are to be linked else the tables produced DUly, be·\, I incompatible. - I I I I Another example program supplied. 1. QSORT. the sortiDI pro~edure~, I described in the manual. I I I I I I I I I I , I I I -. I I 'It I I I I I I I I I I I ttKL Aleol 60 C'/M Systea I LONG INTEGER ALGOL Arun-L 1s a version of the RML zao Algol system 1nwh1c:h real variables are represented, DOt in the normal mantissalexponent form but rather as 32 .bit 2 s complement integers. -
BASIC Session
BASIC Session Chairman: Thomas Cheatham Speaker: Thomas E. Kurtz PAPER: BASIC Thomas E. Kurtz Darthmouth College 1. Background 1.1. Dartmouth College Dartmouth College is a small university dating from 1769, and dedicated "for the educa- tion and instruction of Youth of the Indian Tribes in this Land in reading, writing and all parts of learning . and also of English Youth and any others" (Wheelock, 1769). The undergraduate student body (now nearly 4000) outnumbers all graduate students by more than 5 to 1, and majors predominantly in the Social Sciences and the Humanities (over 75%). In 1940 a milestone event, not well remembered until recently (Loveday, 1977), took place at Dartmouth. Dr. George Stibitz of the Bell Telephone Laboratories demonstrated publicly for the first time, at the annual meeting of the American Mathematical Society, the remote use of a computer over a communications line. The computer was a relay cal- culator designed to carry out arithmetic on complex numbers. The terminal was a Model 26 Teletype. Another milestone event occurred in the summer of 1956 when John McCarthy orga- nized at Dartmouth a summer research project on "artificial intelligence" (the first known use of this phrase). The computer scientists attending decided a new language was needed; thus was born LISP. [See the paper by McCarthy, pp. 173-185 in this volume. Ed.] 1.2. Dartmouth Comes to Computing After several brief encounters, Dartmouth's liaison with computing became permanent and continuing in 1956 through the New England Regional Computer Center at MIT, HISTORY OF PROGRAMMING LANGUAGES 515 Copyright © 1981 by the Association for Computing Machinery, Inc. -
Simulation Higher Order Language Requirements Study
DOCUMENT RESDEE ED .162 661 IB 066 666 AUTHOR Goodenough, John B.; Eraun, Christine I. TITLE Simulation Higher Order ,Language Reguiresents Study. INSTITUTION' SofTech, Inc., Waltham, Mass. SPONS'AGENCY Air Force Human Resources Lab., Broca_APE,' Texas. REPORT NO AFHPI-TE-78-34 PUB DATE ,Aug 78 NOTE 229.; Not available in hard' copy due to iarginal legibility of parts of document AVAILABLE FROM'Superintendent of Docusents, U.S. Government Printing' Office, Washington, L.C. 20402 (1978-771-122/53) EDRS PRICE MF-$0.83 Plus Postage. EC Not Availatle from EDRS. DESCRIPTORS *Comparative Analysis; Computer Assisted Instruction; *Computer Programs; Evaluation Criteria; Military Training; *Needs Assessment; *Prograaing Iangbaqes; *Simulation IDENTIFIERS FORTRAN; IRCNMAN; JOVIAL; PASCAL ABSTRACT The definitions provided for high order language (HOL) requirements for programming flight/ training simulators are based on the analysis of programs written fcr.a variety of simulators. Examples drawn from these programs are used to justify' the need for certain HOL capabilities. A description of the general 'K..structure and organization of the TRONEAN requirements for the DOI) Common Language effort IS followed-tyditailed specifications of simulator HOL requirements., pvi, FORTRAN, JCVIAI J3E, JCVIAL.J73I, and PASCAL are analyzed to see how well" each language satisfies the simulator HOL requirements. Results indicate that PL/I and JOVIAL J3D are the best suited for simulator programming, chile TOBIRANis clearly the least suitable language. All the larguages failed to satisfy some simulator requirements and improvement modificationsare specified Analysis of recommended modifications shows:that PL/I is the m st easily modified language. (CMV) *********************************************************************** Reproductions suppliid by EDRS are the best that can be made from the original dccumett. -
Latest Results from the Procedure Calling Test, Ackermann's Function
Latest results from the procedure calling test, Ackermann’s function B A WICHMANN National Physical Laboratory, Teddington, Middlesex Division of Information Technology and Computing March 1982 Abstract Ackermann’s function has been used to measure the procedure calling over- head in languages which support recursion. Two papers have been written on this which are reproduced1 in this report. Results from further measurements are in- cluded in this report together with comments on the data obtained and codings of the test in Ada and Basic. 1 INTRODUCTION In spite of the two publications on the use of Ackermann’s Function [1, 2] as a mea- sure of the procedure-calling efficiency of programming languages, there is still some interest in the topic. It is an easy test to perform and the large number of results ob- tained means that an implementation can be compared with many other systems. The purpose of this report is to provide a listing of all the results obtained to date and to show their relationship. Few modern languages do not provide recursion and hence the test is appropriate for measuring the overheads of procedure calls in most cases. Ackermann’s function is a small recursive function listed on page 2 of [1] in Al- gol 60. Although of no particular interest in itself, the function does perform other operations common to much systems programming (testing for zero, incrementing and decrementing integers). The function has two parameters M and N, the test being for (3, N) with N in the range 1 to 6. Like all tests, the interpretation of the results is not without difficulty.