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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. -
Functional Languages
Functional Programming Languages (FPL) 1. Definitions................................................................... 2 2. Applications ................................................................ 2 3. Examples..................................................................... 3 4. FPL Characteristics:.................................................... 3 5. Lambda calculus (LC)................................................. 4 6. Functions in FPLs ....................................................... 7 7. Modern functional languages...................................... 9 8. Scheme overview...................................................... 11 8.1. Get your own Scheme from MIT...................... 11 8.2. General overview.............................................. 11 8.3. Data Typing ...................................................... 12 8.4. Comments ......................................................... 12 8.5. Recursion Instead of Iteration........................... 13 8.6. Evaluation ......................................................... 14 8.7. Storing and using Scheme code ........................ 14 8.8. Variables ........................................................... 15 8.9. Data types.......................................................... 16 8.10. Arithmetic functions ......................................... 17 8.11. Selection functions............................................ 18 8.12. Iteration............................................................. 23 8.13. Defining functions ........................................... -
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......................................... -
Modern Programming Languages CS508 Virtual University of Pakistan
Modern Programming Languages (CS508) VU Modern Programming Languages CS508 Virtual University of Pakistan Leaders in Education Technology 1 © Copyright Virtual University of Pakistan Modern Programming Languages (CS508) VU TABLE of CONTENTS Course Objectives...........................................................................................................................4 Introduction and Historical Background (Lecture 1-8)..............................................................5 Language Evaluation Criterion.....................................................................................................6 Language Evaluation Criterion...................................................................................................15 An Introduction to SNOBOL (Lecture 9-12).............................................................................32 Ada Programming Language: An Introduction (Lecture 13-17).............................................45 LISP Programming Language: An Introduction (Lecture 18-21)...........................................63 PROLOG - Programming in Logic (Lecture 22-26) .................................................................77 Java Programming Language (Lecture 27-30)..........................................................................92 C# Programming Language (Lecture 31-34) ...........................................................................111 PHP – Personal Home Page PHP: Hypertext Preprocessor (Lecture 35-37)........................129 Modern Programming Languages-JavaScript -
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. -
About ILE C/C++ Compiler Reference
IBM i 7.3 Programming IBM Rational Development Studio for i ILE C/C++ Compiler Reference IBM SC09-4816-07 Note Before using this information and the product it supports, read the information in “Notices” on page 121. This edition applies to IBM® Rational® Development Studio for i (product number 5770-WDS) and to all subsequent releases and modifications until otherwise indicated in new editions. This version does not run on all reduced instruction set computer (RISC) models nor does it run on CISC models. This document may contain references to Licensed Internal Code. Licensed Internal Code is Machine Code and is licensed to you under the terms of the IBM License Agreement for Machine Code. © Copyright International Business Machines Corporation 1993, 2015. US Government Users Restricted Rights – Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. Contents ILE C/C++ Compiler Reference............................................................................... 1 What is new for IBM i 7.3.............................................................................................................................3 PDF file for ILE C/C++ Compiler Reference.................................................................................................5 About ILE C/C++ Compiler Reference......................................................................................................... 7 Prerequisite and Related Information.................................................................................................. -
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 .......................................................................................................................... -
Operator Overloading ______
Chapter 10: Operator Overloading _________________________________________________________________________________________________________ Consider the following C++ code snippet: vector<string> myVector(kNumStrings); for(vector<string>::iterator itr = myVector.begin(); itr != myVector.end(); ++itr) *itr += "Now longer!"; Here, we create a vector<string> of a certain size, then iterate over it concatenating “Now longer!” to each of the strings. Code like this is ubiquitous in C++, and initially does not appear all that exciting. However, let's take a closer look at how this code is structured. First, let's look at exactly what operations we're performing on the iterator: vector<string> myVector(kNumStrings); for(vector<string>::iterator itr = myVector.begin(); itr != myVector.end(); ++itr) *itr += "Now longer!"; In this simple piece of code, we're comparing the iterator against myVector.end() using the != operator, incrementing the iterator with the ++ operator, and dereferencing the iterator with the * operator. At a high level, this doesn't seem all that out of the ordinary, since STL iterators are designed to look like regular pointers and these operators are all well-defined on pointers. But the key thing to notice is that STL iterators aren't pointers, they're objects, and !=, *, and ++ aren't normally defined on objects. We can't write code like ++myVector or *myMap = 137, so why can these operations be applied to vector<string>::iterator? Similarly, notice how we're concatenating the string “Now longer!” onto the end of the string: vector<string> myVector(kNumStrings); for(vector<string>::iterator itr = myVector.begin(); itr != myVector.end(); ++itr) *itr += "Now longer!"; Despite the fact that string is an object, somehow C++ “knows” what it means to apply += to strings. -
The Machine That Builds Itself: How the Strengths of Lisp Family
Khomtchouk et al. OPINION NOTE The Machine that Builds Itself: How the Strengths of Lisp Family Languages Facilitate Building Complex and Flexible Bioinformatic Models Bohdan B. Khomtchouk1*, Edmund Weitz2 and Claes Wahlestedt1 *Correspondence: [email protected] Abstract 1Center for Therapeutic Innovation and Department of We address the need for expanding the presence of the Lisp family of Psychiatry and Behavioral programming languages in bioinformatics and computational biology research. Sciences, University of Miami Languages of this family, like Common Lisp, Scheme, or Clojure, facilitate the Miller School of Medicine, 1120 NW 14th ST, Miami, FL, USA creation of powerful and flexible software models that are required for complex 33136 and rapidly evolving domains like biology. We will point out several important key Full list of author information is features that distinguish languages of the Lisp family from other programming available at the end of the article languages and we will explain how these features can aid researchers in becoming more productive and creating better code. We will also show how these features make these languages ideal tools for artificial intelligence and machine learning applications. We will specifically stress the advantages of domain-specific languages (DSL): languages which are specialized to a particular area and thus not only facilitate easier research problem formulation, but also aid in the establishment of standards and best programming practices as applied to the specific research field at hand. DSLs are particularly easy to build in Common Lisp, the most comprehensive Lisp dialect, which is commonly referred to as the “programmable programming language.” We are convinced that Lisp grants programmers unprecedented power to build increasingly sophisticated artificial intelligence systems that may ultimately transform machine learning and AI research in bioinformatics and computational biology. -
Technical Study Desktop Internationalization
Technical Study Desktop Internationalization NIC CH A E L T S T U D Y [This page intentionally left blank] X/Open Technical Study Desktop Internationalisation X/Open Company Ltd. December 1995, X/Open Company Limited All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without the prior permission of the copyright owners. X/Open Technical Study Desktop Internationalisation X/Open Document Number: E501 Published by X/Open Company Ltd., U.K. Any comments relating to the material contained in this document may be submitted to X/Open at: X/Open Company Limited Apex Plaza Forbury Road Reading Berkshire, RG1 1AX United Kingdom or by Electronic Mail to: [email protected] ii X/Open Technical Study (1995) Contents Chapter 1 Internationalisation.............................................................................. 1 1.1 Introduction ................................................................................................. 1 1.2 Character Sets and Encodings.................................................................. 2 1.3 The C Programming Language................................................................ 5 1.4 Internationalisation Support in POSIX .................................................. 6 1.5 Internationalisation Support in the X/Open CAE............................... 7 1.5.1 XPG4 Facilities......................................................................................... -
Unix Standardization and Implementation
Contents 1. Preface/Introduction 2. Standardization and Implementation 3. File I/O 4. Standard I/O Library 5. Files and Directories 6. System Data Files and Information 7. Environment of a Unix Process 8. Process Control 9. Signals 10.Inter-process Communication * All rights reserved, Tei-Wei Kuo, National Taiwan University, 2003. Standardization and Implementation Why Standardization? Proliferation of UNIX versions What should be done? The specifications of limits that each implementation must define! * All rights reserved, Tei-Wei Kuo, National Taiwan University, 2003. 1 UNIX Standardization ANSI C American National Standards Institute ISO/IEC 9899:1990 International Organization for Standardization (ISO) Syntax/Semantics of C, a standard library Purpose: Provide portability of conforming C programs to a wide variety of OS’s. 15 areas: Fig 2.1 – Page 27 * All rights reserved, Tei-Wei Kuo, National Taiwan University, 2003. UNIX Standardization ANSIC C <assert.h> - verify program assertion <ctype.h> - char types <errno.h> - error codes <float.h> - float point constants <limits.h> - implementation constants <locale.h> - locale catalogs <math.h> - mathematical constants <setjmp.h> - nonlocal goto <signal.h> - signals <stdarg.h> - variable argument lists <stddef.h> - standard definitions <stdio.h> - standard library <stdlib.h> - utilities functions <string.h> - string operations <time.h> - time and date * All rights reserved, Tei-Wei Kuo, National Taiwan University, 2003. 2 UNIX Standardization POSIX.1 (Portable Operating System Interface) developed by IEEE Not restricted for Unix-like systems and no distinction for system calls and library functions Originally IEEE Standard 1003.1-1988 1003.2: shells and utilities, 1003.7: system administrator, > 15 other communities Published as IEEE std 1003.1-1990, ISO/IEC9945-1:1990 New: the inclusion of symbolic links No superuser notion * All rights reserved, Tei-Wei Kuo, National Taiwan University, 2003. -
Property Mapping: a Simple Technique for Mobile Robot Programming
Property Mapping: a simple technique for mobile robot programming Illah R. Nourbakhsh The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213 [email protected] Abstract In this paper we present robot observability as a The mobile robot programming problem is a software predictor for diagnostic transparency. Then, we present a engineering challenge that is not easily conquered using language-independent technique called property mapping contemporary software engineering best practices. We for constructing robot programs that are diagnostically propose robot observability as a measure of the diagnostic transparent and thereby achieve high degrees of transparency of a situated robot program, then describe reliability. property mapping as a simple, language-independent approach to implementing reliable robot programs by maximizing robot observability. Examples from real- The Robot Programming Problem world, working robots are given in Lisp and Java. A mobile robot is a situated automata, or a module that comprises one part of a closed system together with the Introduction environment. Fig. 1 shows the standard depiction of a robot, with its outputs labeled as actions and the outputs The recent availability of inexpensive, reliable robot of the environment in turn labeled as percepts. chassis (e.g. ActivMedia Pioneer, IS-Robotics Magellan, Nomad Scout) has broadened the accessibility of mobile robotics research. Because these robots consist of fixed E hardware out-of-the-box, this technology is shifting the actions A P percepts emphasis of mobile robot research from a joint hardware and software design process toward hardware-unaware R mobile robot programming. This is a software design problem, and yet software Figure 1: The standard view of an embedded robot engineering best practices are not very helpful.