CA-Metacobol+ Structured Programming Guide
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C++ Programming: Program Design Including Data Structures, Fifth Edition
C++ Programming: From Problem Analysis to Program Design, Fifth Edition Chapter 5: Control Structures II (Repetition) Objectives In this chapter, you will: • Learn about repetition (looping) control structures • Explore how to construct and use count- controlled, sentinel-controlled, flag- controlled, and EOF-controlled repetition structures • Examine break and continue statements • Discover how to form and use nested control structures C++ Programming: From Problem Analysis to Program Design, Fifth Edition 2 Objectives (cont'd.) • Learn how to avoid bugs by avoiding patches • Learn how to debug loops C++ Programming: From Problem Analysis to Program Design, Fifth Edition 3 Why Is Repetition Needed? • Repetition allows you to efficiently use variables • Can input, add, and average multiple numbers using a limited number of variables • For example, to add five numbers: – Declare a variable for each number, input the numbers and add the variables together – Create a loop that reads a number into a variable and adds it to a variable that contains the sum of the numbers C++ Programming: From Problem Analysis to Program Design, Fifth Edition 4 while Looping (Repetition) Structure • The general form of the while statement is: while is a reserved word • Statement can be simple or compound • Expression acts as a decision maker and is usually a logical expression • Statement is called the body of the loop • The parentheses are part of the syntax C++ Programming: From Problem Analysis to Program Design, Fifth Edition 5 while Looping (Repetition) -
Compiler Construction Assignment 3 – Spring 2018
Compiler Construction Assignment 3 { Spring 2018 Robert van Engelen µc for the JVM µc (micro-C) is a small C-inspired programming language. In this assignment we will implement a compiler in C++ for µc. The compiler compiles µc programs to java class files for execution with the Java virtual machine. To implement the compiler, we can reuse the same concepts in the code-generation parts that were done in programming assignment 1 and reuse parts of the lexical analyzer you implemented in programming assignment 2. We will implement a new parser based on Yacc/Bison. This new parser utilizes translation schemes defined in Yacc grammars to emit Java bytecode. In the next programming assignment (the last assignment following this assignment) we will further extend the capabilities of our µc compiler by adding static semantics such as data types, apply type checking, and implement scoping rules for functions and blocks. Download Download the Pr3.zip file from http://www.cs.fsu.edu/~engelen/courses/COP5621/Pr3.zip. After unzipping you will get the following files Makefile A makefile bytecode.c The bytecode emitter (same as Pr1) bytecode.h The bytecode definitions (same as Pr1) error.c Error reporter global.h Global definitions init.c Symbol table initialization javaclass.c Java class file operations (same as Pr1) javaclass.h Java class file definitions (same as Pr1) mycc.l *) Lex specification mycc.y *) Yacc specification and main program symbol.c *) Symbol table operations test#.uc A number of µc test programs The files marked ∗) are incomplete. For this assignment you are required to complete these files. -
PDF Python 3
Python for Everybody Exploring Data Using Python 3 Charles R. Severance 5.7. LOOP PATTERNS 61 In Python terms, the variable friends is a list1 of three strings and the for loop goes through the list and executes the body once for each of the three strings in the list resulting in this output: Happy New Year: Joseph Happy New Year: Glenn Happy New Year: Sally Done! Translating this for loop to English is not as direct as the while, but if you think of friends as a set, it goes like this: “Run the statements in the body of the for loop once for each friend in the set named friends.” Looking at the for loop, for and in are reserved Python keywords, and friend and friends are variables. for friend in friends: print('Happy New Year:', friend) In particular, friend is the iteration variable for the for loop. The variable friend changes for each iteration of the loop and controls when the for loop completes. The iteration variable steps successively through the three strings stored in the friends variable. 5.7 Loop patterns Often we use a for or while loop to go through a list of items or the contents of a file and we are looking for something such as the largest or smallest value of the data we scan through. These loops are generally constructed by: • Initializing one or more variables before the loop starts • Performing some computation on each item in the loop body, possibly chang- ing the variables in the body of the loop • Looking at the resulting variables when the loop completes We will use a list of numbers to demonstrate the concepts and construction of these loop patterns. -
7. Control Flow First?
Copyright (C) R.A. van Engelen, FSU Department of Computer Science, 2000-2004 Ordering Program Execution: What is Done 7. Control Flow First? Overview Categories for specifying ordering in programming languages: Expressions 1. Sequencing: the execution of statements and evaluation of Evaluation order expressions is usually in the order in which they appear in a Assignments program text Structured and unstructured flow constructs 2. Selection (or alternation): a run-time condition determines the Goto's choice among two or more statements or expressions Sequencing 3. Iteration: a statement is repeated a number of times or until a Selection run-time condition is met Iteration and iterators 4. Procedural abstraction: subroutines encapsulate collections of Recursion statements and subroutine calls can be treated as single Nondeterminacy statements 5. Recursion: subroutines which call themselves directly or indirectly to solve a problem, where the problem is typically defined in terms of simpler versions of itself 6. Concurrency: two or more program fragments executed in parallel, either on separate processors or interleaved on a single processor Note: Study Chapter 6 of the textbook except Section 7. Nondeterminacy: the execution order among alternative 6.6.2. constructs is deliberately left unspecified, indicating that any alternative will lead to a correct result Expression Syntax Expression Evaluation Ordering: Precedence An expression consists of and Associativity An atomic object, e.g. number or variable The use of infix, prefix, and postfix notation leads to ambiguity An operator applied to a collection of operands (or as to what is an operand of what arguments) which are expressions Fortran example: a+b*c**d**e/f Common syntactic forms for operators: The choice among alternative evaluation orders depends on Function call notation, e.g. -
Structured Programming - Retrospect and Prospect Harlan D
University of Tennessee, Knoxville Trace: Tennessee Research and Creative Exchange The aH rlan D. Mills Collection Science Alliance 11-1986 Structured Programming - Retrospect and Prospect Harlan D. Mills Follow this and additional works at: http://trace.tennessee.edu/utk_harlan Part of the Software Engineering Commons Recommended Citation Mills, Harlan D., "Structured Programming - Retrospect and Prospect" (1986). The Harlan D. Mills Collection. http://trace.tennessee.edu/utk_harlan/20 This Article is brought to you for free and open access by the Science Alliance at Trace: Tennessee Research and Creative Exchange. It has been accepted for inclusion in The aH rlan D. Mills Collection by an authorized administrator of Trace: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. mJNDAMNTL9JNNEPTS IN SOFTWARE ENGINEERING Structured Programming. Retrospect and Prospect Harlan D. Mills, IBM Corp. Stnuctured program- 2 ' dsger W. Dijkstra's 1969 "Struc- mon wisdom that no sizable program Ste red .tured Programming" articlel could be error-free. After, many sizable ming haxs changed ho w precipitated a decade of intense programs have run a year or more with no programs are written focus on programming techniques that has errors detected. since its introduction fundamentally alteredhumanexpectations and achievements in software devel- Impact of structured programming. two decades ago. opment. These expectations and achievements are However, it still has a Before this decade of intense focus, pro- not universal because of the inertia of lot of potentialfor gramming was regarded as a private, industrial practices. But they are well- lot of fo puzzle-solving activity ofwriting computer enough established to herald fundamental more change. -
Repetition Structures
24785_CH06_BRONSON.qrk 11/10/04 9:05 M Page 301 Repetition Structures 6.1 Introduction Goals 6.2 Do While Loops 6.3 Interactive Do While Loops 6.4 For/Next Loops 6.5 Nested Loops 6.6 Exit-Controlled Loops 6.7 Focus on Program Design and Implementation: After-the- Fact Data Validation and Creating Keyboard Shortcuts 6.8 Knowing About: Programming Costs 6.9 Common Programming Errors and Problems 6.10 Chapter Review 24785_CH06_BRONSON.qrk 11/10/04 9:05 M Page 302 302 | Chapter 6: Repetition Structures The applications examined so far have illustrated the programming concepts involved in input, output, assignment, and selection capabilities. By this time you should have gained enough experience to be comfortable with these concepts and the mechanics of implementing them using Visual Basic. However, many problems require a repetition capability, in which the same calculation or sequence of instructions is repeated, over and over, using different sets of data. Examples of such repetition include continual checking of user data entries until an acceptable entry, such as a valid password, is made; counting and accumulating running totals; and recurring acceptance of input data and recalculation of output values that only stop upon entry of a designated value. This chapter explores the different methods that programmers use to construct repeating sections of code and how they can be implemented in Visual Basic. A repeated procedural section of code is commonly called a loop, because after the last statement in the code is executed, the program branches, or loops back to the first statement and starts another repetition. -
Edsger W. Dijkstra: a Commemoration
Edsger W. Dijkstra: a Commemoration Krzysztof R. Apt1 and Tony Hoare2 (editors) 1 CWI, Amsterdam, The Netherlands and MIMUW, University of Warsaw, Poland 2 Department of Computer Science and Technology, University of Cambridge and Microsoft Research Ltd, Cambridge, UK Abstract This article is a multiauthored portrait of Edsger Wybe Dijkstra that consists of testimo- nials written by several friends, colleagues, and students of his. It provides unique insights into his personality, working style and habits, and his influence on other computer scientists, as a researcher, teacher, and mentor. Contents Preface 3 Tony Hoare 4 Donald Knuth 9 Christian Lengauer 11 K. Mani Chandy 13 Eric C.R. Hehner 15 Mark Scheevel 17 Krzysztof R. Apt 18 arXiv:2104.03392v1 [cs.GL] 7 Apr 2021 Niklaus Wirth 20 Lex Bijlsma 23 Manfred Broy 24 David Gries 26 Ted Herman 28 Alain J. Martin 29 J Strother Moore 31 Vladimir Lifschitz 33 Wim H. Hesselink 34 1 Hamilton Richards 36 Ken Calvert 38 David Naumann 40 David Turner 42 J.R. Rao 44 Jayadev Misra 47 Rajeev Joshi 50 Maarten van Emden 52 Two Tuesday Afternoon Clubs 54 2 Preface Edsger Dijkstra was perhaps the best known, and certainly the most discussed, computer scientist of the seventies and eighties. We both knew Dijkstra |though each of us in different ways| and we both were aware that his influence on computer science was not limited to his pioneering software projects and research articles. He interacted with his colleagues by way of numerous discussions, extensive letter correspondence, and hundreds of so-called EWD reports that he used to send to a select group of researchers. -
An Introduction to Programming in Simula
An Introduction to Programming in Simula Rob Pooley This document, including all parts below hyperlinked directly to it, is copyright Rob Pooley ([email protected]). You are free to use it for your own non-commercial purposes, but may not copy it or reproduce all or part of it without including this paragraph. If you wish to use it for gain in any manner, you should contact Rob Pooley for terms appropriate to that use. Teachers in publicly funded schools, universities and colleges are free to use it in their normal teaching. Anyone, including vendors of commercial products, may include links to it in any documentation they distribute, so long as the link is to this page, not any sub-part. This is an .pdf version of the book originally published by Blackwell Scientific Publications. The copyright of that book also belongs to Rob Pooley. REMARK: This document is reassembled from the HTML version found on the web: https://web.archive.org/web/20040919031218/http://www.macs.hw.ac.uk/~rjp/bookhtml/ Oslo 20. March 2018 Øystein Myhre Andersen Table of Contents Chapter 1 - Begin at the beginning Basics Chapter 2 - And end at the end Syntax and semantics of basic elements Chapter 3 - Type cast actors Basic arithmetic and other simple types Chapter 4 - If only Conditional statements Chapter 5 - Would you mind repeating that? Texts and while loops Chapter 6 - Correct Procedures Building blocks Chapter 7 - File FOR future reference Simple input and output using InFile, OutFile and PrintFile Chapter 8 - Item by Item Item oriented reading and writing and for loops Chapter 9 - Classes as Records Chapter 10 - Make me a list Lists 1 - Arrays and simple linked lists Reference comparison Chapter 11 - Like parent like child Sub-classes and complex Boolean expressions Chapter 12 - A Language with Character Character handling, switches and jumps Chapter 13 - Let Us See what We Can See Inspection and Remote Accessing Chapter 14 - Side by Side Coroutines Chapter 15 - File For Immediate Use Direct and Byte Files Chapter 16 - With All My Worldly Goods.. -
6Up with Notes
Notes CSCE150A Computer Science & Engineering 150A Problem Solving Using Computers Lecture 05 - Loops Stephen Scott (Adapted from Christopher M. Bourke) Fall 2009 1 / 1 [email protected] Chapter 5 CSCE150A 5.1 Repetition in Programs 5.2 Counting Loops and the While Statement 5.3 Computing a Sum or a Product in a Loop 5.4 The for Statement 5.5 Conditional Loops 5.6 Loop Design 5.7 Nested Loops 5.8 Do While Statement and Flag-Controlled Loops 5.10 How to Debug and Test 5.11 Common Programming Errors 2 / 1 Repetition in Programs CSCE150A Just as the ability to make decisions (if-else selection statements) is an important programming tool, so too is the ability to specify the repetition of a group of operations. When solving a general problem, it is sometimes helpful to write a solution to a specific case. Once this is done, ask yourself: Were there any steps that I repeated? If so, which ones? Do I know how many times I will have to repeat the steps? If not, how did I know how long to keep repeating the steps? 3 / 1 Notes Counting Loops CSCE150A A counter-controlled loop (or counting loop) is a loop whose repetition is managed by a loop control variable whose value represents a count. Also called a while loop. 1 Set counter to an initial value of 0 2 while counter < someF inalV alue do 3 Block of program code 4 Increase counter by 1 5 end Algorithm 1: Counter-Controlled Loop 4 / 1 The C While Loop CSCE150A This while loop computes and displays the gross pay for seven employees. -
A Short Introduction to Ocaml
Ecole´ Polytechnique INF549 A Short Introduction to OCaml Jean-Christophe Filli^atre September 11, 2018 Jean-Christophe Filli^atre A Short Introduction to OCaml INF549 1 / 102 overview lecture Jean-Christophe Filli^atre labs St´ephaneLengrand Monday 17 and Tuesday 18, 9h{12h web site for this course http://www.enseignement.polytechnique.fr/profs/ informatique/Jean-Christophe.Filliatre/INF549/ questions ) [email protected] Jean-Christophe Filli^atre A Short Introduction to OCaml INF549 2 / 102 OCaml OCaml is a general-purpose, strongly typed programming language successor of Caml Light (itself successor of Caml), part of the ML family (SML, F#, etc.) designed and implemented at Inria Rocquencourt by Xavier Leroy and others Some applications: symbolic computation and languages (IBM, Intel, Dassault Syst`emes),static analysis (Microsoft, ENS), file synchronization (Unison), peer-to-peer (MLDonkey), finance (LexiFi, Jane Street Capital), teaching Jean-Christophe Filli^atre A Short Introduction to OCaml INF549 3 / 102 first steps with OCaml Jean-Christophe Filli^atre A Short Introduction to OCaml INF549 4 / 102 the first program hello.ml print_string "hello world!\n" compiling % ocamlopt -o hello hello.ml executing % ./hello hello world! Jean-Christophe Filli^atre A Short Introduction to OCaml INF549 5 / 102 the first program hello.ml print_string "hello world!\n" compiling % ocamlopt -o hello hello.ml executing % ./hello hello world! Jean-Christophe Filli^atre A Short Introduction to OCaml INF549 5 / 102 the first program hello.ml -
Graceful Language Extensions and Interfaces
Graceful Language Extensions and Interfaces by Michael Homer A thesis submitted to the Victoria University of Wellington in fulfilment of the requirements for the degree of Doctor of Philosophy Victoria University of Wellington 2014 Abstract Grace is a programming language under development aimed at ed- ucation. Grace is object-oriented, imperative, and block-structured, and intended for use in first- and second-year object-oriented programming courses. We present a number of language features we have designed for Grace and implemented in our self-hosted compiler. We describe the design of a pattern-matching system with object-oriented structure and minimal extension to the language. We give a design for an object-based module system, which we use to build dialects, a means of extending and restricting the language available to the programmer, and of implementing domain-specific languages. We show a visual programming interface that melds visual editing (à la Scratch) with textual editing, and that uses our dialect system, and we give the results of a user experiment we performed to evaluate the usability of our interface. ii ii Acknowledgments The author wishes to acknowledge: • James Noble and David Pearce, his supervisors; • Andrew P. Black and Kim B. Bruce, the other designers of Grace; • Timothy Jones, a coauthor on a paper forming part of this thesis and contributor to Minigrace; • Amy Ruskin, Richard Yannow, and Jameson McCowan, coauthors on other papers; • Daniel Gibbs, Jan Larres, Scott Weston, Bart Jacobs, Charlie Paucard, and Alex Sandilands, other contributors to Minigrace; • Gilad Bracha, Matthias Felleisen, and the other (anonymous) review- ers of papers forming part of this thesis; • the participants in his user study; • David Streader, John Grundy, and Laurence Tratt, examiners of the thesis; • and Alexandra Donnison, Amy Chard, Juanri Barnard, Roma Kla- paukh, and Timothy Jones, for providing feedback on drafts of this thesis. -
Openmp for C Or Fortran
OpenMP for C or Fortran Summer Seminar ISC5939 .......... John Burkardt Department of Scientific Computing Florida State University http://people.sc.fsu.edu/∼jburkardt/presentations/. openmp 2012 fsu.pdf 31 July/02 August 2012 1 / 144 Shared Memory Programming with OpenMP 1 INTRODUCTION 2 Directives 3 Loops 4 Critical Regions and Reductions 5 Data Conflicts and Data Dependence 6 Environment Variables and Functions 7 Compiling, Linking, Running 8 Parallel Control Structures 9 Data Classification 10 Examples 11 Conclusion 2 / 144 INTRO: OLD LANGUAGES=>OpenMP=>New Hardware OpenMP is a bridge between yesterday's programming languages and tomorrow's multicore chips (4 cores when I first gave this talk, 48 cores now here at FSU!) 3 / 144 INTRO: Hardware Options OpenMP runs a user program on shared memory systems: a single core chip (older PC's, sequential execution) a multicore chip (such as your laptop?) multiple single core chips in a NUMA system multiple multicore chips in a NUMA system (SGI system) multiple multicore chips using other schemes (Intel's Cluster OpenMP) The computer lab DSL400B uses 2 core machines; the DSL152 lab has 8 core machines. OpenMP, which you can think of as running on one tightly-coupled chip, can also be combined with MPI, which runs on multiple, loosely-networked chips... but that's another talk! 4 / 144 INTRO: OpenMP Limitations OpenMP is limited by the shared memory hardware. An OpenMP program can only handle problems that fit on the chip or the coupled chips, over which memory can be shared. If an MPI program running on 5 chips needs more memory, it can easily be run on 100 chips, getting 20 times more memory.