The C Programming Language
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Introduction to Programming in Fortran 77 for Students of Science and Engineering
Introduction to programming in Fortran 77 for students of Science and Engineering Roman GrÄoger University of Pennsylvania, Department of Materials Science and Engineering 3231 Walnut Street, O±ce #215, Philadelphia, PA 19104 Revision 1.2 (September 27, 2004) 1 Introduction Fortran (FORmula TRANslation) is a programming language designed speci¯cally for scientists and engineers. For the past 30 years Fortran has been used for such projects as the design of bridges and aeroplane structures, it is used for factory automation control, for storm drainage design, analysis of scienti¯c data and so on. Throughout the life of this language, groups of users have written libraries of useful standard Fortran programs. These programs can be borrowed and used by other people who wish to take advantage of the expertise and experience of the authors, in a similar way in which a book is borrowed from a library. Fortran belongs to a class of higher-level programming languages in which the programs are not written directly in the machine code but instead in an arti¯cal, human-readable language. This source code consists of algorithms built using a set of standard constructions, each consisting of a series of commands which de¯ne the elementary operations with your data. In other words, any algorithm is a cookbook which speci¯es input ingredients, operations with them and with other data and ¯nally returns one or more results, depending on the function of this algorithm. Any source code has to be compiled in order to obtain an executable code which can be run on your computer. -
A Beginner's Guide to Freebasic
A Beginner’s Guide to FreeBasic Richard D. Clark Ebben Feagan A Clark Productions / HMCsoft Book Copyright (c) Ebben Feagan and Richard Clark. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled "GNU Free Documentation License". The source code was compiled under version .17b of the FreeBasic compiler and tested under Windows 2000 Professional and Ubuntu Linux 6.06. Later compiler versions may require changes to the source code to compile successfully and results may differ under different operating systems. All source code is released under version 2 of the Gnu Public License (http://www.gnu.org/copyleft/gpl.html). The source code is provided AS IS, WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. Microsoft Windows®, Visual Basic® and QuickBasic® are registered trademarks and are copyright © Microsoft Corporation. Ubuntu is a registered trademark of Canonical Limited. 2 To all the members of the FreeBasic community, especially the developers. 3 Acknowledgments Writing a book is difficult business, especially a book on programming. It is impossible to know how to do everything in a particular language, and everyone learns something from the programming community. I have learned a multitude of things from the FreeBasic community and I want to send my thanks to all of those who have taken the time to post answers and examples to questions. -
Fortran 90 Overview
1 Fortran 90 Overview J.E. Akin, Copyright 1998 This overview of Fortran 90 (F90) features is presented as a series of tables that illustrate the syntax and abilities of F90. Frequently comparisons are made to similar features in the C++ and F77 languages and to the Matlab environment. These tables show that F90 has significant improvements over F77 and matches or exceeds newer software capabilities found in C++ and Matlab for dynamic memory management, user defined data structures, matrix operations, operator definition and overloading, intrinsics for vector and parallel pro- cessors and the basic requirements for object-oriented programming. They are intended to serve as a condensed quick reference guide for programming in F90 and for understanding programs developed by others. List of Tables 1 Comment syntax . 4 2 Intrinsic data types of variables . 4 3 Arithmetic operators . 4 4 Relational operators (arithmetic and logical) . 5 5 Precedence pecking order . 5 6 Colon Operator Syntax and its Applications . 5 7 Mathematical functions . 6 8 Flow Control Statements . 7 9 Basic loop constructs . 7 10 IF Constructs . 8 11 Nested IF Constructs . 8 12 Logical IF-ELSE Constructs . 8 13 Logical IF-ELSE-IF Constructs . 8 14 Case Selection Constructs . 9 15 F90 Optional Logic Block Names . 9 16 GO TO Break-out of Nested Loops . 9 17 Skip a Single Loop Cycle . 10 18 Abort a Single Loop . 10 19 F90 DOs Named for Control . 10 20 Looping While a Condition is True . 11 21 Function definitions . 11 22 Arguments and return values of subprograms . 12 23 Defining and referring to global variables . -
B-Prolog User's Manual
B-Prolog User's Manual (Version 8.1) Prolog, Agent, and Constraint Programming Neng-Fa Zhou Afany Software & CUNY & Kyutech Copyright c Afany Software, 1994-2014. Last updated February 23, 2014 Preface Welcome to B-Prolog, a versatile and efficient constraint logic programming (CLP) system. B-Prolog is being brought to you by Afany Software. The birth of CLP is a milestone in the history of programming languages. CLP combines two declarative programming paradigms: logic programming and constraint solving. The declarative nature has proven appealing in numerous ap- plications, including computer-aided design and verification, databases, software engineering, optimization, configuration, graphical user interfaces, and language processing. It greatly enhances the productivity of software development and soft- ware maintainability. In addition, because of the availability of efficient constraint- solving, memory management, and compilation techniques, CLP programs can be more efficient than their counterparts that are written in procedural languages. B-Prolog is a Prolog system with extensions for programming concurrency, constraints, and interactive graphics. The system is based on a significantly refined WAM [1], called TOAM Jr. [19] (a successor of TOAM [16]), which facilitates software emulation. In addition to a TOAM emulator with a garbage collector that is written in C, the system consists of a compiler and an interpreter that are written in Prolog, and a library of built-in predicates that are written in C and in Prolog. B-Prolog does not only accept standard-form Prolog programs, but also accepts matching clauses, in which the determinacy and input/output unifications are explicitly denoted. Matching clauses are compiled into more compact and faster code than standard-form clauses. -
PHP Programming Cookbook I
PHP Programming Cookbook i PHP Programming Cookbook PHP Programming Cookbook ii Contents 1 PHP Tutorial for Beginners 1 1.1 Introduction......................................................1 1.1.1 Where is PHP used?.............................................1 1.1.2 Why PHP?..................................................2 1.2 XAMPP Setup....................................................3 1.3 PHP Language Basics.................................................5 1.3.1 Escaping to PHP...............................................5 1.3.2 Commenting PHP..............................................5 1.3.3 Hello World..................................................6 1.3.4 Variables in PHP...............................................6 1.3.5 Conditional Statements in PHP........................................7 1.3.6 Loops in PHP.................................................8 1.4 PHP Arrays...................................................... 10 1.5 PHP Functions.................................................... 12 1.6 Connecting to a Database............................................... 14 1.6.1 Connecting to MySQL Databases...................................... 14 1.6.2 Connecting to MySQLi Databases (Procedurial).............................. 14 1.6.3 Connecting to MySQLi databases (Object-Oriented)............................ 15 1.6.4 Connecting to PDO Databases........................................ 15 1.7 PHP Form Handling................................................. 15 1.8 PHP Include & Require Statements......................................... -
Quick Overview: Complex Numbers
Quick Overview: Complex Numbers February 23, 2012 1 Initial Definitions Definition 1 The complex number z is defined as: z = a + bi (1) p where a, b are real numbers and i = −1. Remarks about the definition: • Engineers typically use j instead of i. • Examples of complex numbers: p 5 + 2i; 3 − 2i; 3; −5i • Powers of i: i2 = −1 i3 = −i i4 = 1 i5 = i i6 = −1 i7 = −i . • All real numbers are also complex (by taking b = 0). 2 Visualizing Complex Numbers A complex number is defined by it's two real numbers. If we have z = a + bi, then: Definition 2 The real part of a + bi is a, Re(z) = Re(a + bi) = a The imaginary part of a + bi is b, Im(z) = Im(a + bi) = b 1 Im(z) 4i 3i z = a + bi 2i r b 1i θ Re(z) a −1i Figure 1: Visualizing z = a + bi in the complex plane. Shown are the modulus (or length) r and the argument (or angle) θ. To visualize a complex number, we use the complex plane C, where the horizontal (or x-) axis is for the real part, and the vertical axis is for the imaginary part. That is, a + bi is plotted as the point (a; b). In Figure 1, we can see that it is also possible to represent the point a + bi, or (a; b) in polar form, by computing its modulus (or size), and angle (or argument): p r = jzj = a2 + b2 θ = arg(z) We have to be a bit careful defining φ, since there are many ways to write φ (and we could add multiples of 2π as well). -
Thriving in a Crowded and Changing World: C++ 2006–2020
Thriving in a Crowded and Changing World: C++ 2006–2020 BJARNE STROUSTRUP, Morgan Stanley and Columbia University, USA Shepherd: Yannis Smaragdakis, University of Athens, Greece By 2006, C++ had been in widespread industrial use for 20 years. It contained parts that had survived unchanged since introduced into C in the early 1970s as well as features that were novel in the early 2000s. From 2006 to 2020, the C++ developer community grew from about 3 million to about 4.5 million. It was a period where new programming models emerged, hardware architectures evolved, new application domains gained massive importance, and quite a few well-financed and professionally marketed languages fought for dominance. How did C++ ś an older language without serious commercial backing ś manage to thrive in the face of all that? This paper focuses on the major changes to the ISO C++ standard for the 2011, 2014, 2017, and 2020 revisions. The standard library is about 3/4 of the C++20 standard, but this paper’s primary focus is on language features and the programming techniques they support. The paper contains long lists of features documenting the growth of C++. Significant technical points are discussed and illustrated with short code fragments. In addition, it presents some failed proposals and the discussions that led to their failure. It offers a perspective on the bewildering flow of facts and features across the years. The emphasis is on the ideas, people, and processes that shaped the language. Themes include efforts to preserve the essence of C++ through evolutionary changes, to simplify itsuse,to improve support for generic programming, to better support compile-time programming, to extend support for concurrency and parallel programming, and to maintain stable support for decades’ old code. -
Object-Oriented Programming Basics with Java
Object-Oriented Programming Object-Oriented Programming Basics With Java In his keynote address to the 11th World Computer Congress in 1989, renowned computer scientist Donald Knuth said that one of the most important lessons he had learned from his years of experience is that software is hard to write! Computer scientists have struggled for decades to design new languages and techniques for writing software. Unfortunately, experience has shown that writing large systems is virtually impossible. Small programs seem to be no problem, but scaling to large systems with large programming teams can result in $100M projects that never work and are thrown out. The only solution seems to lie in writing small software units that communicate via well-defined interfaces and protocols like computer chips. The units must be small enough that one developer can understand them entirely and, perhaps most importantly, the units must be protected from interference by other units so that programmers can code the units in isolation. The object-oriented paradigm fits these guidelines as designers represent complete concepts or real world entities as objects with approved interfaces for use by other objects. Like the outer membrane of a biological cell, the interface hides the internal implementation of the object, thus, isolating the code from interference by other objects. For many tasks, object-oriented programming has proven to be a very successful paradigm. Interestingly, the first object-oriented language (called Simula, which had even more features than C++) was designed in the 1960's, but object-oriented programming has only come into fashion in the 1990's. -
BUGS Code for Item Response Theory
JSS Journal of Statistical Software August 2010, Volume 36, Code Snippet 1. http://www.jstatsoft.org/ BUGS Code for Item Response Theory S. McKay Curtis University of Washington Abstract I present BUGS code to fit common models from item response theory (IRT), such as the two parameter logistic model, three parameter logisitic model, graded response model, generalized partial credit model, testlet model, and generalized testlet models. I demonstrate how the code in this article can easily be extended to fit more complicated IRT models, when the data at hand require a more sophisticated approach. Specifically, I describe modifications to the BUGS code that accommodate longitudinal item response data. Keywords: education, psychometrics, latent variable model, measurement model, Bayesian inference, Markov chain Monte Carlo, longitudinal data. 1. Introduction In this paper, I present BUGS (Gilks, Thomas, and Spiegelhalter 1994) code to fit several models from item response theory (IRT). Several different software packages are available for fitting IRT models. These programs include packages from Scientific Software International (du Toit 2003), such as PARSCALE (Muraki and Bock 2005), BILOG-MG (Zimowski, Mu- raki, Mislevy, and Bock 2005), MULTILOG (Thissen, Chen, and Bock 2003), and TESTFACT (Wood, Wilson, Gibbons, Schilling, Muraki, and Bock 2003). The Comprehensive R Archive Network (CRAN) task view \Psychometric Models and Methods" (Mair and Hatzinger 2010) contains a description of many different R packages that can be used to fit IRT models in the R computing environment (R Development Core Team 2010). Among these R packages are ltm (Rizopoulos 2006) and gpcm (Johnson 2007), which contain several functions to fit IRT models using marginal maximum likelihood methods, and eRm (Mair and Hatzinger 2007), which contains functions to fit several variations of the Rasch model (Fischer and Molenaar 1995). -
Cobol Vs Standards and Conventions
Number: 11.10 COBOL VS STANDARDS AND CONVENTIONS July 2005 Number: 11.10 Effective: 07/01/05 TABLE OF CONTENTS 1 INTRODUCTION .................................................................................................................................................. 1 1.1 PURPOSE .................................................................................................................................................. 1 1.2 SCOPE ...................................................................................................................................................... 1 1.3 APPLICABILITY ........................................................................................................................................... 2 1.4 MAINFRAME COMPUTER PROCESSING ....................................................................................................... 2 1.5 MAINFRAME PRODUCTION JOB MANAGEMENT ............................................................................................ 2 1.6 COMMENTS AND SUGGESTIONS ................................................................................................................. 3 2 COBOL DESIGN STANDARDS .......................................................................................................................... 3 2.1 IDENTIFICATION DIVISION .................................................................................................................. 4 2.1.1 PROGRAM-ID .......................................................................................................................... -
AN125: Integrating Raisonance 8051 Tools Into The
AN125 INTEGRATING RAISONANCE 8051 TOOLS INTO THE SILICON LABS IDE 1. Introduction 4. Configure the Tool Chain This application note describes how to integrate the Integration Dialog Raisonance 8051 Tools into the Silicon Laboratories Under the 'Project' menu, select 'Tool Chain Integration’ IDE (Integrated Development Environment). Integration to bring up the dialog box shown below. Raisonance provides an efficient development environment with (Ride 7) is the default. To use Raisonance (Ride 6), you compose, edit, build, download and debug operations can select it from the 'Preset Name' drop down box integrated in the same program. under 'Tools Definition Presets'. Next, define the Raisonance assembler, compiler, and linker as shown in 2. Key Points the following sections. The Intel OMF-51 absolute object file generated by the Raisonance 8051 tools enables source-level debug from the Silicon Labs IDE. Once Raisonance Tools are integrated into the IDE they are called by simply pressing the ‘Assemble/ Compile Current File’ button or the ‘Build/Make Project’ button. See the “..\Silabs\MCU\Examples” directory for examples that can be used with the Raisonance tools. Information in this application note applies to Version 4.00 and later of the Silicon Labs IDE and Ride7 and later of the Raisonance 8051 tools. 4.1. Assembler Definition 1. Under the ‘Assembler’ tab, if the assembler 3. Create a Project in the Silicon executable is not already defined, click the browse Labs IDE button next to the ‘Executable:’ text box, and locate the assembler executable. The default location for A project is necessary in order to link assembly files the Raisonance assembler is: created by the compiler and build an absolute ‘OMF-51’ C:\Program Files\Raisonance\Ride7\bin\ma51.exe output file. -
Fortran Math Special Functions Library
IMSL® Fortran Math Special Functions Library Version 2021.0 Copyright 1970-2021 Rogue Wave Software, Inc., a Perforce company. Visual Numerics, IMSL, and PV-WAVE are registered trademarks of Rogue Wave Software, Inc., a Perforce company. IMPORTANT NOTICE: Information contained in this documentation is subject to change without notice. Use of this docu- ment is subject to the terms and conditions of a Rogue Wave Software License Agreement, including, without limitation, the Limited Warranty and Limitation of Liability. ACKNOWLEDGMENTS Use of the Documentation and implementation of any of its processes or techniques are the sole responsibility of the client, and Perforce Soft- ware, Inc., assumes no responsibility and will not be liable for any errors, omissions, damage, or loss that might result from any use or misuse of the Documentation PERFORCE SOFTWARE, INC. MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THE DOCUMENTATION. THE DOCU- MENTATION IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND. PERFORCE SOFTWARE, INC. HEREBY DISCLAIMS ALL WARRANTIES AND CONDITIONS WITH REGARD TO THE DOCUMENTATION, WHETHER EXPRESS, IMPLIED, STATUTORY, OR OTHERWISE, INCLUDING WITHOUT LIMITATION ANY IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PAR- TICULAR PURPOSE, OR NONINFRINGEMENT. IN NO EVENT SHALL PERFORCE SOFTWARE, INC. BE LIABLE, WHETHER IN CONTRACT, TORT, OR OTHERWISE, FOR ANY SPECIAL, CONSEQUENTIAL, INDIRECT, PUNITIVE, OR EXEMPLARY DAMAGES IN CONNECTION WITH THE USE OF THE DOCUMENTATION. The Documentation is subject to change at any time without notice. IMSL https://www.imsl.com/ Contents Introduction The IMSL Fortran Numerical Libraries . 1 Getting Started . 2 Finding the Right Routine . 3 Organization of the Documentation . 4 Naming Conventions .