DOCSLIB.ORG

Master Thesis

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Master Thesis KARADENİZ TECHNICAL UNIVERSITY THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCE COMPUTER ENGINEERING GRADUATE PROGRAM DESIGN AND IMPLEMENTATION OF A GENERAL INTERPRETER FOR STEP-BY-STEP SOLVING OF NONLINEAR SYSTEM OF EQUATIONS USING SYMBOLIC APPROACHES MASTER THESIS Computer Eng. Mohamed Yusuf HASSAN SEPTEMBER 2017 TRABZON FOREWORD This thesis is written as completion to the master of computer engineering, at Karadeniz Technical University. The subject of this thesis is focused on finding the roots of nonlinear functions with 푛 unknowns using a hybrid symbolic-numeric approach. I would like to offer my heart thanks to my master thesis supervisor, Asst. Prof. Dr. Hüseyin PEHLİVAN, for much support, guidance, and patient reading of my drafts and help make it sense. I am also grateful to other members of my thesis committee, Assoc. Prof. Dr. Mustafa ULUTAŞ and Assoc. Prof. Dr. Ahmet BARAN for their valuable feedback and encouragement. I would like to thank my parents for their love, constant encouragement and wonderful emotional support. I also like to thank my young brother who was there for me and gave me a great motivation to finish this work. This thesis would have taken far longer to complete without the encouragement from many other friends. The days would have passed far more slowly without the support of them. Mohamed Yusuf HASSAN Trabzon 2017 III THESIS STATEMENT I declare that, this Master Thesis, I have submitted with the tittle “Design and Implementation of a General Interpreter for Step-by-Step Solving of Nonlinear System of Equations Using Symbolic Approaches” has been completed under the guidance of my Master supervisor Asst. Prof. Dr. Hüseyin PEHLİVAN. All the data used in this thesis are obtained by simulation and experimental works done as part of this work in our research labs. All referred information used in thesis has been indicated in the text and cited in reference list. I have obeyed all research and ethical rules during my research and I accept all responsibility if proven otherwise. 05/09/2017 Mohamed Yusuf HASSAN IV TABLE OF CONTENTS Page No FOREWORD ....................................................................................................................... III THESIS STATEMENT ....................................................................................................... IV TABLE OF CONTENTS ..................................................................................................... V SUMMARY ..................................................................................................................... VIII ÖZET …………….. ............................................................................................................ IX LIST OF FIGURES .............................................................................................................. X LIST OF TABLES .............................................................................................................. XI LIST OF ABBREVIATIONS .......................................................................................... XIII 1 GENERAL INFORMATION ............................................................................... 1 1.1. Introduction ........................................................................................................... 1 1.2. Literature Review .................................................................................................. 3 1.3. Nonlinear Equations .............................................................................................. 7 1.3.1. Nonlinear Equations Introduction ......................................................................... 7 1.3.2. Methods for Solving Nonlinear Equations ............................................................ 8 1.3.3. Newton-Raphson Method ...................................................................................... 9 1.3.3.1. Graphical Depiction of Newton-Raphson Method .............................................. 10 1.3.3.2. Derivative of Newton-Raphson Method.............................................................. 10 1.3.3.2.1. Derivative of Newton-Raphson Method using Graph ......................................... 10 1.3.3.2.2. Derivative of Newton-Raphson Method of 1-Dimension System....................... 11 1.3.3.2.3. Derivative of Newton-Raphson Method of N-Dimenison System ...................... 12 1.4. Language Processors ........................................................................................... 14 1.4.1. Compilers ............................................................................................................ 14 1.4.2. Interpreters ........................................................................................................... 15 1.4.3. Mixed Compilation and Interpretation Systems .................................................. 16 1.4.4. Comparison between Compilers and Interpreters ............................................... 17 1.4.5. Basic Compiler Phases ........................................................................................ 17 1.4.5.1. Front-End ............................................................................................................. 17 1.4.5.2. Back-End ............................................................................................................. 18 V 1.5. Mathematical Expressions Interpretation ............................................................ 18 1.5.1. Lexical Analyser (Scanner) ................................................................................. 19 1.5.2. Syntax Analyser (Parser) ..................................................................................... 21 1.5.2.1. Context-Free Grammar ........................................................................................ 22 1.5.2.2. Derivation and Parsing Context-Free Grammar .................................................. 23 1.5.2.3. Parser Tree .......................................................................................................... 24 1.5.2.3.1. Ambiguity ............................................................................................................ 24 1.5.2.3.2. Left Recusrion ..................................................................................................... 25 1.5.2.3.3. Left Factoring ..................................................................................................... 26 1.5.3. Semantic Analyser ............................................................................................... 27 1.5.4. Symbol Table ....................................................................................................... 27 1.6. Parsing Techniques .............................................................................................. 28 1.6.1. Top-Down Parsing ............................................................................................... 28 1.6.1.1. LL Parsers ............................................................................................................ 29 1.6.1.2. First and Follow Sets ........................................................................................... 30 1.6.1.2.1. Firts Sets .............................................................................................................. 31 1.6.1.2.2. Follow Sets .......................................................................................................... 31 1.6.2. Bottom-Up Parsing .............................................................................................. 33 1.6.2.1. LR Parsers ........................................................................................................... 33 1.7. Automatic Parser Generator Tools .................................................................... 34 1.7.1. JavaCC ................................................................................................................. 35 1.8. Parser Tree Evaluation......................................................................................... 36 1.8.1. Instanceof Operator ............................................................................................. 36 1.8.2. Interpreter () Methods .......................................................................................... 36 1.8.3. Visitor Design Patter ........................................................................................... 37 2. STEP-BY-STEP SOLUTIONS FOR NONLINEAR SYSTEM OF EQUATIONS ...................................................................................................... 39 2.1. Introduction ......................................................................................................... 39 2.2. General Structure of the Implemented Mathematical Expresssion Interpreter .. 39 2.2.1. Lexical Analaysis ................................................................................................ 42 2.2.1.1. Token Declaration ............................................................................................... 42 2.2.2. Syntax Analaysis ................................................................................................. 43 2.2.2.1. Syntax Structure of Nonlinear Equations ............................................................ 44 VI 2.2.2.2. Generating Abstract Syntax Tree ........................................................................ 46 2.2.3. Semantic Analaysis ............................................................................................
Load more

Recommended publications
  • Nonlinear Evolution Equations and Solving Algebraic Systems: the Importance of Computer Algebra
    - Y'M?S </#i/ ИНСТИТУТ ядерных исследований дубна Е5-89-62Ц V.P.Gerdt, N.A.Kostov, A.Yu.Zharkov* NONLINEAR EVOLUTION EQUATIONS AND SOLVING ALGEBRAIC SYSTEMS: THE IMPORTANCE OF COMPUTER ALGEBRA Submitted to International Conference "Solitons and its Applications", Dubna, August 25-27, 1989 * Saratov State University, USSR 1989 1.INTRODUCTION A wide-spread problem in the theory of nonlinear evolution equations (NEE) is to find the exact solutions of complicated algebraic systems. For example, let us consider the following evolution systems U - AU + F(U,U , ..U ), U=U(x,t)-(U1, . ,UH) , U=D1(U), D=d/dx IN 1 N-1 I /ii F«(F\ . -FH) , A==diag(A , . .A) , A *0, A *A , (i*j). The general symmetry approach to checking up the integrability and classification of integrable NEE (see the reviews [1,2] and references therein) allows to obtain the integrability conditions which are related to existence of higher order symmetries and conservation laws in a fully algorithmic way. The implementation of these algorithms in a form of FORMAC program FORMINT have been given for scalar equations (M=l in (1)) in [3 j and for the general case (M>1) in [4]. Using this program one can automatically obtain the equations in right hand side of (l) which follow from the necessary integrability conditions. The integrabiiity conditions for the right hand side with arbitrary functions have the form of systems of differential equations, the procedure of solving these equations is not generally algorithmic. But in the important particular cases when the right hand side F are polynomials and the integrability conditions are reduced to a system of nonlinear algebraic equations in coefficients of the polynomials.
    [Show full text]
  • WORKSHOP on COMPUTATIONAL ASPECTS in the CONTROL of FLEXIBLE SYSTEMS
    NASA Technical Memorandum 10 1578, Part One WORKSHOP on COMPUTATIONAL ASPECTS in the CONTROL of FLEXIBLE SYSTEMS Held at the Royce Hotel in WiIIiamsburg, Virginia (\!~?~-~*-lolj?d-pt-l) P&~C~L~IN~Y-F THE <UL (; 8.; t\jo~-l?~Su ~~KY,~+~JDfl~CnHPUTATIONAL ASPFCTI IY TcF --T )~uI)-- ~f'4T1.1L dC Ei'XfrLt. >Y>TtU,, f'AQT i (.\A>A- r\eu-lP>CL L an-1-y Rps~arihCentnr) 492 p C5CL 2LR UnLl ~s 55 3 G;/i3 J,'i74qA Sponsored by the NASA Langley Research Center Proceedings Compiled by Larry Taylor Table of Contents Page Introduction Computational Aspects Workshop Call for Papers 1 Workshop Organizing Committee 5 Attendance List 7 --------___-----__-------------------------------------- Needs for Advanced CSI Software NASA's Control/Structures Interaction (CSI) Program Brantley R. Hanks, NASA Langley Research Center 21-, Computational Controls for Aerospace Systems Guy Man, Robert A. Laskin and A. Fernando Tolivar Jet Propulsion Laboratory 33. Additional Software Developments Wanted for Modeling and Control of Flexible Systems Jiguan G. Lin, Control Research Corporation 4 9 Survey of Available Software Flexible Structure Control Experiments Using a Real-Time Workstation for Computer-Aided Control Engineering Michael E. Steiber, Communications Research Centre 6 7 CONSOLE: A CAD Tandem for Optimizationl-Based Design Interacting with User-Supplied Simulators Michael K.H. Fan, Li-Shen Wang, Jan Koninckx and Andre L. Tits,University of Maryland, College Park 8 9 mLPAGE IS QUALfTY ORIGINAL PAGE IS OF POOR QUALITY The Application of TSIM Software to ACT Design and Analysis of Flexible Aircraft Ian W. Kaynes, Royal Aerospace Establishment, Farnborouth 109 - Control/Structure Interaction Methods for Space Statian Power Systems Paul Blelloch, Structural Dynamics Research Corporation 121L, Flexible Missile Autopilot Design Studies with PC-MATLAB386 Michael J.
    [Show full text]
  • (12) United States Patent (10) Patent No.: US 6,203,987 B1 Friend Et Al
    USOO6203987B1 (12) United States Patent (10) Patent No.: US 6,203,987 B1 Friend et al. (45) Date of Patent: Mar. 20, 2001 (54) METHODS FOR USING CO-REGULATED Garrels, JI et al “Quant exploration of the REF52 protein GENESETS TO ENHANCE DETECTION AND database: cluster analysis reveals major protein expression CLASSIFICATION OF GENE EXPRESSION profiles in resonses to growth regulation, Serum Stimulation, PATTERNS and viral transformation’, Electrophoresis, 12/90, 11(12): 1114–30.* (75) Inventors: Stephen H. Friend, Seattle, WA (US); Anderson et al., 1994, “Involvement of the protein tyrosine Roland Stoughton, San Diego, CA kinase p56' in T cell signaling and thymocyte develop (US) ment.” Adv. Immunol. 56:151-178. (73) Assignee: Rosetta Inpharmatics, Inc., Kirkland, Anderson, 1995, “Mutagenesis", Methods Cell. Biol. 48:31. WA (US) Baudin et al., 1993, “A simple and efficient method for direct gene deletion in Saccharomyces cerevisiae, ' Nucl. Acids (*) Notice: Subject to any disclaimer, the term of this ReS. 21:3329-3330. patent is extended or adjusted under 35 Belshaw et al., 1996, “Controlling protein association and U.S.C. 154(b) by 0 days. Subcellular localization with a Synthetic ligand that induces heterodimerization of proteins,” Proc. Natl. Acad. Sci. USA (21) Appl. No.: 09/179,569 93:46O4-46O7. (22) Filed: Oct. 27, 1998 Bernoist and Chambon, 1981, “In vivo sequence require ments of the SV40 early promoter region”, Nature 290: (51) Int. Cl. ............................ C12O 1/68; C12P 21/04; 304-310. GO1N 33/543 Biocca, 1995, “Intracellular immunization: antibody target ing to subcellular compartments,” Trends in Cell Biology (52) U.S.
    [Show full text]
  • A Review of Mathematica
    A Review of Mathematica RICHARD J. FATEMAN ∗ [email protected] Computer Science Division, University of California, Berkeley, CA 94720, USA 16 September 1991 Abstract The Mathematica computer system is reviewed from the perspective of its contributions to symbolic and algebraic computation, as well as its stated goals. Design and implementation issues are discussed. 1 Introduction The Mathematica1 computer program is a general system for doing mathematical computation [51][52]. It includes a command language, a programming language, and a calculation environment that is oriented toward symbolic as well as numeric mathematics. The back cover of the manual [52] provides excerpts from rave notices like “The importance of [Mathematica] cannot be overlooked. it so fundamentally alters the mechanics of mathematics.” —The New York Times. Fortune [47] says “. it will do, instantaneously, virtually all of applied mathematics. .” Hype aside, the program is without question interesting to mathematicians, computer scientists, and engineers because of its combination of a number of ∗This work has been supported in part by the following: the National Science Foundation under grant numbers CCR-8812843 and CDS-8922788, through the Center for Pure and Applied Mathe- matics and the Electronics Research Laboratory (ERL) at the University of California at Berkeley; the Defense Advanced Research Projects Agency (DoD) ARPA order #4871, monitored by Space & Naval Warfare Systems Command under contract N00039-84-C-0089, through ERL; and grants from the IBM Corporation, the State of California MICRO program, and Sun Microsystems. 1 Mathematica is a trademark of Wolfram Research Inc. (WRI). 1 technologies that have arisen in initially separate contexts—numerical and sym- bolic mathematics, graphics, and modern user interfaces.
    [Show full text]
  • Insight MFR By
    Manufacturers, Publishers and Suppliers by Product Category 11/6/2017 10/100 Hubs & Switches ASCEND COMMUNICATIONS CIS SECURE COMPUTING INC DIGIUM GEAR HEAD 1 TRIPPLITE ASUS Cisco Press D‐LINK SYSTEMS GEFEN 1VISION SOFTWARE ATEN TECHNOLOGY CISCO SYSTEMS DUALCOMM TECHNOLOGY, INC. GEIST 3COM ATLAS SOUND CLEAR CUBE DYCONN GEOVISION INC. 4XEM CORP. ATLONA CLEARSOUNDS DYNEX PRODUCTS GIGAFAST 8E6 TECHNOLOGIES ATTO TECHNOLOGY CNET TECHNOLOGY EATON GIGAMON SYSTEMS LLC AAXEON TECHNOLOGIES LLC. AUDIOCODES, INC. CODE GREEN NETWORKS E‐CORPORATEGIFTS.COM, INC. GLOBAL MARKETING ACCELL AUDIOVOX CODI INC EDGECORE GOLDENRAM ACCELLION AVAYA COMMAND COMMUNICATIONS EDITSHARE LLC GREAT BAY SOFTWARE INC. ACER AMERICA AVENVIEW CORP COMMUNICATION DEVICES INC. EMC GRIFFIN TECHNOLOGY ACTI CORPORATION AVOCENT COMNET ENDACE USA H3C Technology ADAPTEC AVOCENT‐EMERSON COMPELLENT ENGENIUS HALL RESEARCH ADC KENTROX AVTECH CORPORATION COMPREHENSIVE CABLE ENTERASYS NETWORKS HAVIS SHIELD ADC TELECOMMUNICATIONS AXIOM MEMORY COMPU‐CALL, INC EPIPHAN SYSTEMS HAWKING TECHNOLOGY ADDERTECHNOLOGY AXIS COMMUNICATIONS COMPUTER LAB EQUINOX SYSTEMS HERITAGE TRAVELWARE ADD‐ON COMPUTER PERIPHERALS AZIO CORPORATION COMPUTERLINKS ETHERNET DIRECT HEWLETT PACKARD ENTERPRISE ADDON STORE B & B ELECTRONICS COMTROL ETHERWAN HIKVISION DIGITAL TECHNOLOGY CO. LT ADESSO BELDEN CONNECTGEAR EVANS CONSOLES HITACHI ADTRAN BELKIN COMPONENTS CONNECTPRO EVGA.COM HITACHI DATA SYSTEMS ADVANTECH AUTOMATION CORP. BIDUL & CO CONSTANT TECHNOLOGIES INC Exablaze HOO TOO INC AEROHIVE NETWORKS BLACK BOX COOL GEAR EXACQ TECHNOLOGIES INC HP AJA VIDEO SYSTEMS BLACKMAGIC DESIGN USA CP TECHNOLOGIES EXFO INC HP INC ALCATEL BLADE NETWORK TECHNOLOGIES CPS EXTREME NETWORKS HUAWEI ALCATEL LUCENT BLONDER TONGUE LABORATORIES CREATIVE LABS EXTRON HUAWEI SYMANTEC TECHNOLOGIES ALLIED TELESIS BLUE COAT SYSTEMS CRESTRON ELECTRONICS F5 NETWORKS IBM ALLOY COMPUTER PRODUCTS LLC BOSCH SECURITY CTC UNION TECHNOLOGIES CO FELLOWES ICOMTECH INC ALTINEX, INC.
    [Show full text]
  • Using a Small Algebraic Manipulation System to Solve Differential and Integral Equations by Variational and Approximation Techniques
    J. Symbolic Computation (1987) 3, 291-301 Using a Small Algebraic Manipulation System to Solve Differential and Integral Equations by Variational and Approximation Techniques R. D. MILLS Computing Science Department. University of Glasgow, Glasgow, UK (Received 2 December 1985) The microcomputer algebraic manipulation system MUMATH is used to implement the classical variational, Galerkin and least-squares techniques for solving boundary-value problems in differential equations and also for solving Fredhohn integral equations. Examples are given which extend the precision of known results. The technique is presented as a general algorithm which can readily be implemented on other algebraic manipulation systems. 1. Introduction Computer programs have been in existence since the fifties to manipulate polynomials, differentiate functions and solve equations. By the late sixties and early seventies programs were written which could integrate functions analytically. The late seventies saw the development of programs for the symbolic solution of differential and integral equations (see Golden, 1977; Stoutemyer, 1977; Bogen, 1979). Large and complex algebraic manipulation systems were devised to implement the algorithms which effect these processes, the best known being FORMAC, REDUCE2, MACSYMA and SCRATCHPAD. There then opened up the exciting possibility of tackling many problems in applied mathematics and engineering which could be solved approximately by analytical methods but which require very large amounts of algebraic manipulation. The Rayleigh-Ritz, Galerkin and least-squares methods for solving boundary-value problems in differential equations are typical examples. For early work using computer algebra in these methods, see Miola (1974) and Andersen & Noor (1977). This application area involves the interaction of numerical and algebraic computation (see Ng, 1979).
    [Show full text]
  • Symbolic Software for Lie Symmetry Computations
    Invited Lecture 1 Symbolic Software for Lie Symmetry Computations Willy Hereman Dept. Mathematical and Computer Sciences Colorado School of Mines Golden, CO 80401-1887 U.S.A. ISLC Workshop Nordfjordeid, Norway Tuesday, June 18, 1996 16:00 I. INTRODUCTION Symbolic Software • Solitons via Hirota’s method (Macsyma & Mathematica) • Painlev´etest for ODEs or PDEs (Macsyma & Mathematica) • Conservation laws of PDEs (Mathematica) • Lie symmetries for ODEs and PDEs (Macsyma) Purpose of the programs • Study of integrability of nonlinear PDEs • Exact solutions as bench mark for numerical algorithms • Classification of nonlinear PDEs • Lie symmetries −→ solutions via reductions • Work in collaboration with Unal¨ G¨okta¸s Chris Elmer Wuning Zhuang Ameina Nuseir Mark Coffey Erik van den Bulck Tony Miller Tracy Otto Symbolic Software by Willy Hereman and Collaborators Software is freely available from anonymous FTP site: mines.edu Change to subdirectory: pub/papers/math cs dept/software Subdirectory Structure: – symmetry (Macsyma) systems of ODEs and PDEs systems of difference-differential equations – hirota (Macsyma) – painleve (Macsyma) single system – condens (Mathematica) – painmath (Mathematica) single system – hiromath (Mathematica) Computation of Lie-point Symmetries – System of m differential equations of order k ∆i(x, u(k)) = 0, i = 1, 2, ..., m with p independent and q dependent variables p x = (x1, x2, ..., xp) ∈ IR u = (u1, u2, ..., uq) ∈ IRq – The group transformations have the form x˜ = Λgroup(x, u), u˜ = Ωgroup(x, u) where the functions Λgroup
    [Show full text]
  • Writing Cybersecurity Job Descriptions for the Greatest Impact
    Writing Cybersecurity Job Descriptions for the Greatest Impact Keith T. Hall U.S. Department of Homeland Security Welcome Writing Cybersecurity Job Descriptions for the Greatest Impact Disclaimers and Caveats • Content Not Officially Adopted. The content of this briefing is mine personally and does not reflect any position or policy of the United States Government (USG) or of the Department of Homeland Security. • Note on Terminology. Will use USG terminology in this brief (but generally translatable towards Private Sector equivalents) • Job Description Usage. For the purposes of this presentation only, the Job Description for the Position Description (PD) is used synonymously with the Job Opportunity Announcement (JOA). Although there are potential differences, it is not material to the concepts presented today. 3 Key Definitions and Concepts (1 of 2) • What do you want the person to do? • Major Duties and Responsibilities. “A statement of the important, regular, and recurring duties and responsibilities assigned to the position” SOURCE: https://www.opm.gov/policy-data- oversight/classification-qualifications/classifying-general-schedule-positions/classifierhandbook.pdf • Major vs. Minor Duties. “Major duties are those that represent the primary reason for the position's existence, and which govern the qualification requirements. Typically, they occupy most of the employee's time. Minor duties generally occupy a small portion of time, are not the primary purpose for which the position was established, and do not determine qualification requirements” SOURCE: https://www.opm.gov/policy-data- oversight/classification-qualifications/classifying-general-schedule-positions/positionclassificationintro.pdf • Tasks. “Activities an employee performs on a regular basis in order to carry out the functions of the job.” SOURCE: https://www.opm.gov/policy-data-oversight/assessment-and-selection/job-analysis/job_analysis_presentation.pdf 4 Key Definitions and Concepts (2 of 2) • What do you want to see on resumes that qualifies them to do this work? • Competency.
    [Show full text]
  • ' MACSYMA Users' Conference
    ' MACSYMA Users'Conference Held at University of California Berkeley, California July 27-29, 1977 I TECH LIBRARY KAFB, NY NASA CP-2012 Proceedings of the 1977 MACSYMA Users’ Conference Sponsored by Massachusetts Institute of Technology, University of California at Berkeley, NASA Langley Research Center and held at Berkeley, California July 27-29, 1977 Scientific and TechnicalInformation Office 1977 NATIONALAERONAUTICS AND SPACE ADMINISTRATION NA5A Washington, D.C. FOREWORD The technical programof the 1977 MACSPMA Users' Conference, held at Berkeley,California, from July 27 to July 29, 1977, consisted of the 45 contributedpapers reported in.this publicationand of a workshop.The work- shop was designed to promote an exchange of information between implementers and users of the MACSYMA computersystem and to help guide future developments. I The response to the call for papers has well exceeded the early estimates of the conference organizers; and the high quality and broad ra.ngeof topics of thepapers submitted has been most satisfying. A bibliography of papers concerned with the MACSYMA system is included at the endof this publication. We would like to thank the members of the programcommittee, the many referees, and the secretarial and technical staffs at the University of California at Berkeley and at the Laboratory for Computer Science, Massachusetts Instituteof Technology, for shepherding the many papersthrough the submission- to-publicationprocess. We are especiallyappreciative of theburden. carried by .V. Ellen Lewis of M. I. T. for serving as expert in document preparation from computer-readableto camera-ready copy for several papers. This conference originated as the result of an organizing session called by Joel Moses of M.I.T.
    [Show full text]
  • Comparative Programming Languages CM20253
    We have briefly covered many aspects of language design And there are many more factors we could talk about in making choices of language The End There are many languages out there, both general purpose and specialist And there are many more factors we could talk about in making choices of language The End There are many languages out there, both general purpose and specialist We have briefly covered many aspects of language design The End There are many languages out there, both general purpose and specialist We have briefly covered many aspects of language design And there are many more factors we could talk about in making choices of language Often a single project can use several languages, each suited to its part of the project And then the interopability of languages becomes important For example, can you easily join together code written in Java and C? The End Or languages And then the interopability of languages becomes important For example, can you easily join together code written in Java and C? The End Or languages Often a single project can use several languages, each suited to its part of the project For example, can you easily join together code written in Java and C? The End Or languages Often a single project can use several languages, each suited to its part of the project And then the interopability of languages becomes important The End Or languages Often a single project can use several languages, each suited to its part of the project And then the interopability of languages becomes important For example, can you easily
    [Show full text]
  • Their Future for Higher Education
    DOCUMENT RESUME ED 052 635 En 009 116 AUTHOR Levien, Roger E., Ed. TITLE Computers in Instruction: Their Future for Higher Education. 'INSTITUTION Rand Corp., Santa Monica, Calif. SPONS AGENCY Carnegie Commission on the Future of Higher Education, Berkeley, Calif.; National Science Foundation, Washington, D.C. REPORT NC R-718-NSF-CCOM-RC PUB DATE Jul 71 NOTE 225p.; Proceedings of a conference on Computers in Instruction: Their Future for Higher Education, Saata Monica, California, October 1-3, 1970 AVAILABLE FROM Communications Department, The Rand Corporation, 1700 Main Street, Santa Monica, California 90406 (HC $5.00) EDRS PRICE EDRS Price MF-$0.65 HC Not Available from EDRS. DESCRIPTORS Computer Assisted Instruction, *Computers, *Conference Reports, Consortia, Cost Effectiveness, *Educational Planning, *Educational Technology, *Higher Education, Instructional Materials, Publishing Industry, Regional Cooperation, Time Sharing ABSTRACT The goal of this conference was not exchange of information, but rather, identification of the decisions that should be made by higher education, industry, and government to facilitate the valid growth of the instructional use of the computer. Four major questions concerned the conferees: What will be the computer's capabilities and cost? How will computer services be provided to the campus? How will instructional materials be provided? and flow will higher education be affected by instructional computer use? The reports of the conference sessions are divided into three sections; first, discussions of the range of possible answers to the major questions; second, reports on the recommendations developed by the several studies of instructional computer use that are currently under way or have been recently completed; and third, specific recommendations for higher education, industry, and government.(JY) R-718-NSF/CCOM/RC July 1971 COMPUTERS IN INSTRUCTION: THEIR FUTURE FOR HIGHER EDUCATION Proceedings of A Conference held October 1970 Roger E.
    [Show full text]
  • Porovnanie Súčasných Systémov Počítačovej Algebry
    Masarykova univerzita Fakulta informatiky Porovnanie súčasných systémov počítačovej algebry Bakalárska práca Peter Gábor Brno, jar 2018 Masarykova univerzita Fakulta informatiky Porovnanie súčasných systémov počítačovej algebry Bakalárska práca Peter Gábor Brno, jar 2018 Na tomto mieste sa v tlačenej práci nachádza oficiálne podpísané zadanie práce a vyhlásenie autora školského diela. Vyhlásenie Vyhlasujem, že táto bakalárska práca je mojím pôvodným autorským dielom, ktoré som vypracoval samostatne. Všetky zdroje, pramene a literatúru, ktoré som pri vypracovaní používal alebo z nich čerpal, v práci riadne citujem s uvedením úplného odkazu na príslušný zdroj. Peter Gábor Vedúci práce: RNDr. Jaroslav Ráček Ph.D. i Poďakovanie Na tomto mieste by som sa chcel poďakovať vedúcemu bakalárskej práce RNDr. Jaroslavovi Ráčkovi Ph.D. za cenné rady, trpezlivosť a odborné vedenie pri vytváraní tejto práce. iii Zhrnutie Cieľom práce je vytvoriť komplexné zhodnotenie kvalít a vzájomné porovnanie systémov počítačovej algebry. V práci sa zmeriavam na piatich zástupcov spomedzi univerzálnych systémov počítačovej al- gebry. Konkrétne sa jedná o systémy Maple, Mathematica, MATLAB, Maxima a SageMath. Tieto systémy hodnotím z pohľadu užívateľskej a programátorskej prívetivosti, licenčnej a cenovej politiky a poskyto- vanej funkcionality. Súčasťou práce je vypracovanie (implementácia) spoločných vzorových úloh v prostrediach jednotlivých systémov, na ktorých demonštrujem charakter programovacieho jazyka, ako aj výpočtovú silu daného systému. iv Kľúčové slová
    [Show full text]