Basic Lisp Operations
|
|
|
- Cameron Miles
- 10 years ago
- Views:
Transcription
1 Basic Lisp Operations BLO-1
2 Function invocation It is an S-expression just another list! ( function arg1 arg2... argn) First list item is the function prefix notation The other list items are the arguments to the function. Arguments can themselves be lists» ( ( ) ) ==> 45» Outer + has 7 arguments, inner + has 3 arguments» Arguments are evaluated before the function BLO-2
3 Basic Functions Can build Lisp out of these functions List access & creation» car or first access first in list» cdr or rest access all but first» cons construct a list cell Other» quote or ' take literally, do not interpret» atom true if argument is an atom» eq true if arguments are same object» cond conditional generalized if... then... else... BLO-3
4 List access functions Original name Pronounced as could-er List Cell car / first cdr / rest Modern name ( car '( a b c ) ) ( first '( a b c ) ) a ( cdr '( a b c ) ) ( rest '( a b c ) ) ( b c ) BLO-4
5 CAR and CDR Structural View 1 ( A B C D ) CAR = A Copies pointer A Copies pointer CDR = ( B C D ) B C D nil BLO-5
6 CAR and CDR Structural View 2 ( A. B ) CAR = A CDR = B Copy pointer A B Copy pointer BLO-6
7 ( car '( a b c ) ) why the quote? Recall that arguments are evaluated before the function If we wrote ( car ( a b c) )» argument ( a b c ) would be evaluated before the car» a would be a function call» but we literally want the list (a b c) not the result of evaluating a on the arguments b and c. '(...) is syntactic sugar for (quote... ) where Lisp treats the function quote as a special function whose arguments are not evaluated first ( car '( a b c ) ) ( car ( quote ( a b c ) ) ) BLO-7
8 Why the names CAR and CDR? Original Lisp developed for an IBM 704 computer which had 18 bit registers Pairs of registers could be handled as a single 36 bit ʻwordʼ one word = one lisp cell address register decrement register CAR Contents Address Register CDR Contents Decrement Register BLO-8
9 Short hand for nested car's and cdr's Accessing deeper into Lisp structures occurs so frequently that additonal functions are introduced into Lisp. For example ( cdddar... ) (cdr ( cdr ( cdr (car... )))) Interpret from right to left Length depends upon the implementation. BLO-9
10 Creating a New Lisp Cell cons Only one constructor function cons Copies pointers to the arguments A Copy pointer Laws» (car (cons A B)) = A» (cdr (cons A B)) = B ( cons A B ) Copy pointer B BLO-10
11 Destructive List Construction Cons is expensive as it creates a new cell» memory allocation is invoked > But it is non destructive no side effects Following is dangerous do not use in the course! For efficiency Common Lisp provides a set of destructive operations they change lists» ( replca cell newvalue ) & ( replcd cell newvalue ) > Replace the car and cdr fields of cell with ponters to newvalue» ( nconc x y ) > Replace the cdr field of the last component of x with a pointer to y BLO-11
12 SETQ Define a symbol value (setq x value)» If the symbol x does not exist it is created» Symbol x is given the value value In this course USE ONLY AT THE GLOBAL LEVEL to create symbols required to test your programs Example» (setq x ʻ(1+ 4)) sets the value of x to the list (1+ 4)» Note the x is not quoted but the second argument is if you do not want to evaluate it. BLO-12
13 ( setq x ʻy )» x has the value y Compare SET and SETQ ( set x ʻz )» x still has the value y» but a new symbol y is created with the value z» why? See the notes on symbols BLO-13
14 DEFUN define a function ( defun functionname ( argumentlist ) ) List of S-expressions to evaluate when the function is invoked usually only one S-expression Example ( defun add ( a b ) (+ a b ) ) Value of the function is the value of the last S-expression that is executed Functions in Lisp are typically small» rarely more than 1/2 a page in length BLO-14
15 eq (eq x y)» Shallow equality» True if x and y are the same internal Lisp object > It is possible, in some implementations, that a number or character may be represented by different objects As a consequence, (eq 3 3) may be either true or false BLO-15
16 eql (eql x y)» Shallow equality» Either eq or the same number or character > Note that 3.0 and 3 are different numbers. > Implementation may have eql either true or false BLO-16
17 equal (equal x y)» Deep equality» True if x and y have equivalent values eq is stricter than eql, which is stricter than equal BLO-17
Universitetet i Linköping Institutionen för datavetenskap Anders Haraldsson
list functions TDDC65 Artificial intelligence and Lisp Lecture 2 in Lisp Recursion, symbols and lists (chapter 4, 5, 6 Haraldssons book) local variables and local functions recursion over sequences * patterns
How To Program In Scheme (Prolog)
The current topic: Scheme! Introduction! Object-oriented programming: Python Functional programming: Scheme! Introduction Next up: Numeric operators, REPL, quotes, functions, conditionals Types and values
Chapter 15 Functional Programming Languages
Chapter 15 Functional Programming Languages Introduction - The design of the imperative languages is based directly on the von Neumann architecture Efficiency (at least at first) is the primary concern,
Programming Languages in Artificial Intelligence
Programming Languages in Artificial Intelligence Günter Neumann, German Research Center for Artificial Intelligence (LT Lab, DFKI) I. AI programming languages II. Functional programming III. Functional
QUERYING THE COMPONENT DATA OF A GRAPHICAL CADASTRAL DATABASE USING VISUAL LISP PROGRAM
University 1 Decembrie 1918 of Alba Iulia RevCAD 16/2014 QUERYING THE COMPONENT DATA OF A GRAPHICAL CADASTRAL DATABASE USING VISUAL LISP PROGRAM Caius DIDULESCU, Associate Professor PhD eng. - Faculty
Magit-Popup User Manual
Magit-Popup User Manual for version 2.5 Jonas Bernoulli Copyright (C) 2015-2016 Jonas Bernoulli You can redistribute this document and/or modify it under the terms of the GNU General
Recursive Functions of Symbolic Expressions and Their Computation by Machine, Part I
Recursive Functions of Symbolic Expressions and Their Computation by Machine, Part I John McCarthy, Massachusetts Institute of Technology, Cambridge, Mass. April 1960 1 Introduction A programming system
Symbol Tables. Introduction
Symbol Tables Introduction A compiler needs to collect and use information about the names appearing in the source program. This information is entered into a data structure called a symbol table. The
INTRODUCTION TO OBJECTIVE-C CSCI 4448/5448: OBJECT-ORIENTED ANALYSIS & DESIGN LECTURE 12 09/29/2011
INTRODUCTION TO OBJECTIVE-C CSCI 4448/5448: OBJECT-ORIENTED ANALYSIS & DESIGN LECTURE 12 09/29/2011 1 Goals of the Lecture Present an introduction to Objective-C 2.0 Coverage of the language will be INCOMPLETE
Data Mining Algorithms Parallelizing in Functional Programming Language for Execution in Cluster
Data Mining Algorithms Parallelizing in Functional Programming Language for Execution in Cluster Ivan Holod, PhD, Assoc. Prof., [email protected] Aleksey Malov, PhD, [email protected] Sergey Rodionov,
Scoping (Readings 7.1,7.4,7.6) Parameter passing methods (7.5) Building symbol tables (7.6)
Semantic Analysis Scoping (Readings 7.1,7.4,7.6) Static Dynamic Parameter passing methods (7.5) Building symbol tables (7.6) How to use them to find multiply-declared and undeclared variables Type checking
CS 1133, LAB 2: FUNCTIONS AND TESTING http://www.cs.cornell.edu/courses/cs1133/2015fa/labs/lab02.pdf
CS 1133, LAB 2: FUNCTIONS AND TESTING http://www.cs.cornell.edu/courses/cs1133/2015fa/labs/lab02.pdf First Name: Last Name: NetID: The purpose of this lab is to help you to better understand functions:
Java Interview Questions and Answers
1. What is the most important feature of Java? Java is a platform independent language. 2. What do you mean by platform independence? Platform independence means that we can write and compile the java
KITES TECHNOLOGY COURSE MODULE (C, C++, DS)
KITES TECHNOLOGY 360 Degree Solution www.kitestechnology.com/academy.php [email protected] [email protected] Contact: - 8961334776 9433759247 9830639522.NET JAVA WEB DESIGN PHP SQL, PL/SQL
Functional Programming. Functional Programming Languages. Chapter 14. Introduction
Functional Programming Languages Chapter 14 Introduction Functional programming paradigm History Features and concepts Examples: Lisp ML 1 2 Functional Programming Functional Programming Languages The
Compiler Construction
Compiler Construction Lecture 1 - An Overview 2003 Robert M. Siegfried All rights reserved A few basic definitions Translate - v, a.to turn into one s own language or another. b. to transform or turn from
C++ INTERVIEW QUESTIONS
C++ INTERVIEW QUESTIONS http://www.tutorialspoint.com/cplusplus/cpp_interview_questions.htm Copyright tutorialspoint.com Dear readers, these C++ Interview Questions have been designed specially to get
Moving from CS 61A Scheme to CS 61B Java
Moving from CS 61A Scheme to CS 61B Java Introduction Java is an object-oriented language. This document describes some of the differences between object-oriented programming in Scheme (which we hope you
Business Application
137 Germain CRT Validation Rules for Siebel CRM 7.7,7.8,8.0,8.1,8.2 Validation Rule Name Validation Rule Description Business Application Siebel Repository Level Improve CPU Improve Memory GS-SBL-REP-JDBC-1001
Storage Classes CS 110B - Rule Storage Classes Page 18-1 \handouts\storclas
CS 110B - Rule Storage Classes Page 18-1 Attributes are distinctive features of a variable. Data type, int or double for example, is an attribute. Storage class is another attribute. There are four storage
13 Classes & Objects with Constructors/Destructors
13 Classes & Objects with Constructors/Destructors 13.1 Introduction In object oriented programming, the emphasis is on data rather than function. Class is a way that binds the data & function together.
Writing Functions in Scheme. Writing Functions in Scheme. Checking My Answer: Empty List. Checking My Answer: Empty List
Writing Functions in Scheme Writing Functions in Scheme Suppose we want a function ct which takes a list of symbols and returns the number of symbols in the list (ct (a b c)) 3 (ct ()) 0 (ct (x y z w t))
Party Time! Computer Science I. Signature Examples PAIR OBJ. The Signature of a Procedure. Building a Set. Testing for Membership in a Set
Computer Science I Professor Tom Ellman Lecture 21 Party Time! Whom shall you invite? We will write the Party Planner program. It will select SETS of guests. By reasoning with RELATIONS. Before we party,
R Language Definition
R Language Definition Version 3.2.3 (2015-12-10) DRAFT R Core Team This manual is for R, version 3.2.3 (2015-12-10). Copyright c 2000 2015 R Core Team Permission is granted to make and distribute verbatim
Compilers. Introduction to Compilers. Lecture 1. Spring term. Mick O Donnell: [email protected] Alfonso Ortega: alfonso.ortega@uam.
Compilers Spring term Mick O Donnell: [email protected] Alfonso Ortega: [email protected] Lecture 1 to Compilers 1 Topic 1: What is a Compiler? 3 What is a Compiler? A compiler is a computer
CSC4510 AUTOMATA 2.1 Finite Automata: Examples and D efinitions Definitions
CSC45 AUTOMATA 2. Finite Automata: Examples and Definitions Finite Automata: Examples and Definitions A finite automaton is a simple type of computer. Itsoutputislimitedto yes to or no. It has very primitive
Robot Programming with Lisp
4. More Functional Programming: Map/Reduce, Recursions Institute for Artificial Universität Bremen Outline 2 Mapping Mapping in functional programming is the process of applying a function to all members
How To Understand And Understand Common Lisp
Language-Oriented Programming am Beispiel Lisp Arbeitskreis Objekttechnologie Norddeutschland HAW Hamburg, 6.7.2009 Prof. Dr. Bernhard Humm Hochschule Darmstadt, FB Informatik und Capgemini sd&m Research
JavaScript. JavaScript: fundamentals, concepts, object model. Document Object Model. The Web Page. The window object (1/2) The document object
JavaScript: fundamentals, concepts, object model Prof. Ing. Andrea Omicini II Facoltà di Ingegneria, Cesena Alma Mater Studiorum, Università di Bologna [email protected] JavaScript A scripting language:
CS 141: Introduction to (Java) Programming: Exam 1 Jenny Orr Willamette University Fall 2013
Oct 4, 2013, p 1 Name: CS 141: Introduction to (Java) Programming: Exam 1 Jenny Orr Willamette University Fall 2013 1. (max 18) 4. (max 16) 2. (max 12) 5. (max 12) 3. (max 24) 6. (max 18) Total: (max 100)
Habanero Extreme Scale Software Research Project
Habanero Extreme Scale Software Research Project Comp215: Java Method Dispatch Zoran Budimlić (Rice University) Always remember that you are absolutely unique. Just like everyone else. - Margaret Mead
While Loops and Animations
C h a p t e r 6 While Loops and Animations In this chapter, you will learn how to use the following AutoLISP functions to World Class standards: 1. The Advantage of Using While Loops and Animation Code
Programming Languages CIS 443
Course Objectives Programming Languages CIS 443 0.1 Lexical analysis Syntax Semantics Functional programming Variable lifetime and scoping Parameter passing Object-oriented programming Continuations Exception
Bash shell programming Part II Control statements
Bash shell programming Part II Control statements Deniz Savas and Michael Griffiths 2005-2011 Corporate Information and Computing Services The University of Sheffield Email [email protected]
Parameter passing in LISP
Parameter passing in LISP The actual parameters in a function call are always expressions, represented as lists structures. LISP provides two main methods of parameter passing: Pass/Call-by-value. The
Object-Oriented Programming Lecture 2: Classes and Objects
Object-Oriented Programming Lecture 2: Classes and Objects Dr. Lê H!ng Ph"#ng -- Department of Mathematics, Mechanics and Informatics, VNUH July 2012 1 Content Class Object More on class Enum types Package
Base Conversion written by Cathy Saxton
Base Conversion written by Cathy Saxton 1. Base 10 In base 10, the digits, from right to left, specify the 1 s, 10 s, 100 s, 1000 s, etc. These are powers of 10 (10 x ): 10 0 = 1, 10 1 = 10, 10 2 = 100,
Introduction to Computer Science I Spring 2014 Mid-term exam Solutions
Introduction to Computer Science I Spring 2014 Mid-term exam Solutions 1. Question: Consider the following module of Python code... def thing_one (x): y = 0 if x == 1: y = x x = 2 if x == 2: y = -x x =
The following themes form the major topics of this chapter: The terms and concepts related to trees (Section 5.2).
CHAPTER 5 The Tree Data Model There are many situations in which information has a hierarchical or nested structure like that found in family trees or organization charts. The abstraction that models hierarchical
1 Idioms, Patterns, and Programming
1 Idioms, Patterns, and Programming Chapter Objectives Chapter Contents This chapter introduces the ideas that we use to organize our thinking about languages and how they shape the design and implementation
JAVA - QUICK GUIDE. Java SE is freely available from the link Download Java. So you download a version based on your operating system.
http://www.tutorialspoint.com/java/java_quick_guide.htm JAVA - QUICK GUIDE Copyright tutorialspoint.com What is Java? Java is: Object Oriented Platform independent: Simple Secure Architectural- neutral
Curriculum Map. Discipline: Computer Science Course: C++
Curriculum Map Discipline: Computer Science Course: C++ August/September: How can computer programs make problem solving easier and more efficient? In what order does a computer execute the lines of code
Pemrograman Dasar. Basic Elements Of Java
Pemrograman Dasar Basic Elements Of Java Compiling and Running a Java Application 2 Portable Java Application 3 Java Platform Platform: hardware or software environment in which a program runs. Oracle
ios Dev Crib Sheet In the Shadow of C
ios Dev Crib Sheet As you dive into the deep end of the ios development pool, the first thing to remember is that the mother ship holds the authoritative documentation for this endeavor http://developer.apple.com/ios
The C Programming Language course syllabus associate level
TECHNOLOGIES The C Programming Language course syllabus associate level Course description The course fully covers the basics of programming in the C programming language and demonstrates fundamental programming
The different kinds of variables in a Java program
The different kinds of variables in a Java program The different kinds of variables in a Java program Java has 4 different kinds of variables Class variables Instance variables Local variables Parameter
1 Abstract Data Types Information Hiding
1 1 Abstract Data Types Information Hiding 1.1 Data Types Data types are an integral part of every programming language. ANSI-C has int, double and char to name just a few. Programmers are rarely content
Why? A central concept in Computer Science. Algorithms are ubiquitous.
Analysis of Algorithms: A Brief Introduction Why? A central concept in Computer Science. Algorithms are ubiquitous. Using the Internet (sending email, transferring files, use of search engines, online
POLYTYPIC PROGRAMMING OR: Programming Language Theory is Helpful
POLYTYPIC PROGRAMMING OR: Programming Language Theory is Helpful RALF HINZE Institute of Information and Computing Sciences Utrecht University Email: [email protected] Homepage: http://www.cs.uu.nl/~ralf/
[Refer Slide Time: 05:10]
Principles of Programming Languages Prof: S. Arun Kumar Department of Computer Science and Engineering Indian Institute of Technology Delhi Lecture no 7 Lecture Title: Syntactic Classes Welcome to lecture
Intelligent Agents. Chapter 2. Chapter 2 1
Intelligent Agents Chapter 2 Chapter 2 1 Reminders Assignment 0 (lisp refresher) due 1/28 Lisp/emacs/AIMA tutorial: 11-1 today and Monday, 271 Soda Chapter 2 2 Outline Agents and environments Rationality
Organization of Programming Languages CS320/520N. Lecture 05. Razvan C. Bunescu School of Electrical Engineering and Computer Science bunescu@ohio.
Organization of Programming Languages CS320/520N Razvan C. Bunescu School of Electrical Engineering and Computer Science [email protected] Names, Bindings, and Scopes A name is a symbolic identifier used
Java Programming Fundamentals
Lecture 1 Part I Java Programming Fundamentals Topics in Quantitative Finance: Numerical Solutions of Partial Differential Equations Instructor: Iraj Kani Introduction to Java We start by making a few
PROBLEMS (Cap. 4 - Istruzioni macchina)
98 CHAPTER 2 MACHINE INSTRUCTIONS AND PROGRAMS PROBLEMS (Cap. 4 - Istruzioni macchina) 2.1 Represent the decimal values 5, 2, 14, 10, 26, 19, 51, and 43, as signed, 7-bit numbers in the following binary
Unix Scripts and Job Scheduling
Unix Scripts and Job Scheduling Michael B. Spring Department of Information Science and Telecommunications University of Pittsburgh [email protected] http://www.sis.pitt.edu/~spring Overview Shell Scripts
High-Level Language. Building a Modern Computer From First Principles. www.nand2tetris.org
High-Level Language Building a Modern Computer From First Principles www.nand2tetris.org Elements of Computing Systems, Nisan & Schocken, MIT Press, www.nand2tetris.org, Chapter 9: High-Level Language
Chapter 5. Selection 5-1
Chapter 5 Selection 5-1 Selection (Decision) The second control logic structure is selection: Selection Choosing between two or more alternative actions. Selection statements alter the sequential flow
Unix Shell Scripts. Contents. 1 Introduction. Norman Matloff. July 30, 2008. 1 Introduction 1. 2 Invoking Shell Scripts 2
Unix Shell Scripts Norman Matloff July 30, 2008 Contents 1 Introduction 1 2 Invoking Shell Scripts 2 2.1 Direct Interpretation....................................... 2 2.2 Indirect Interpretation......................................
The Cool Reference Manual
The Cool Reference Manual Contents 1 Introduction 3 2 Getting Started 3 3 Classes 4 3.1 Features.............................................. 4 3.2 Inheritance............................................
First Java Programs. V. Paúl Pauca. CSC 111D Fall, 2015. Department of Computer Science Wake Forest University. Introduction to Computer Science
First Java Programs V. Paúl Pauca Department of Computer Science Wake Forest University CSC 111D Fall, 2015 Hello World revisited / 8/23/15 The f i r s t o b l i g a t o r y Java program @author Paul Pauca
In mathematics, it is often important to get a handle on the error term of an approximation. For instance, people will write
Big O notation (with a capital letter O, not a zero), also called Landau's symbol, is a symbolism used in complexity theory, computer science, and mathematics to describe the asymptotic behavior of functions.
An Introduction to Assembly Programming with the ARM 32-bit Processor Family
An Introduction to Assembly Programming with the ARM 32-bit Processor Family G. Agosta Politecnico di Milano December 3, 2011 Contents 1 Introduction 1 1.1 Prerequisites............................. 2
Pico Lisp A Radical Approach to Application Development
Pico Lisp A Radical Approach to Application Development Software Lab. Alexander Burger Bahnhofstr. 24a, D-86462 Langweid [email protected] (www.software-lab.de) +49-(0)821-9907090 June 22, 2006 Abstract
CpSc212 Goddard Notes Chapter 6. Yet More on Classes. We discuss the problems of comparing, copying, passing, outputting, and destructing
CpSc212 Goddard Notes Chapter 6 Yet More on Classes We discuss the problems of comparing, copying, passing, outputting, and destructing objects. 6.1 Object Storage, Allocation and Destructors Some objects
We will learn the Python programming language. Why? Because it is easy to learn and many people write programs in Python so we can share.
LING115 Lecture Note Session #4 Python (1) 1. Introduction As we have seen in previous sessions, we can use Linux shell commands to do simple text processing. We now know, for example, how to count words.
J a v a Quiz (Unit 3, Test 0 Practice)
Computer Science S-111a: Intensive Introduction to Computer Science Using Java Handout #11 Your Name Teaching Fellow J a v a Quiz (Unit 3, Test 0 Practice) Multiple-choice questions are worth 2 points
5. Advanced Object-Oriented Programming Language-Oriented Programming
5. Advanced Object-Oriented Programming Language-Oriented Programming Prof. Dr. Bernhard Humm Faculty of Computer Science Hochschule Darmstadt University of Applied Sciences 1 Retrospective Functional
Dialog planning in VoiceXML
Dialog planning in VoiceXML Csapó Tamás Gábor 4 January 2011 2. VoiceXML Programming Guide VoiceXML is an XML format programming language, describing the interactions between human
Functional Programming
FP 2005 1.1 3 Functional Programming WOLFRAM KAHL [email protected] Department of Computing and Software McMaster University FP 2005 1.2 4 What Kinds of Programming Languages are There? Imperative telling
COSC 1020 3.0 Introduction to Computer Science I Section A, Summer 2005. Question Out of Mark A Total 16. B-1 7 B-2 4 B-3 4 B-4 4 B Total 19
Term Test #2 COSC 1020 3.0 Introduction to Computer Science I Section A, Summer 2005 Family Name: Given Name(s): Student Number: Question Out of Mark A Total 16 B-1 7 B-2 4 B-3 4 B-4 4 B Total 19 C-1 4
Normal Form vs. Non-First Normal Form
Normal Form vs. Non-First Normal Form Kristian Torp Department of Computer Science Aalborg Univeristy www.cs.aau.dk/ torp [email protected] September 1, 2009 daisy.aau.dk Kristian Torp (Aalborg University)
Chapter 3: Restricted Structures Page 1
Chapter 3: Restricted Structures Page 1 1 2 3 4 5 6 7 8 9 10 Restricted Structures Chapter 3 Overview Of Restricted Structures The two most commonly used restricted structures are Stack and Queue Both
Handout 1. Introduction to Java programming language. Java primitive types and operations. Reading keyboard Input using class Scanner.
Handout 1 CS603 Object-Oriented Programming Fall 15 Page 1 of 11 Handout 1 Introduction to Java programming language. Java primitive types and operations. Reading keyboard Input using class Scanner. Java
Sample Questions Chapter 2. Stoker
Sample Questions Chapter 2. Stoker 1. The mathematical meaning associated with the metric system prefixes centi, milli, and micro is, respectively, A) 2, 4, and 6. B) 2, 3, and 6. C) 3, 6, and 9. D) 3,
The Needle Programming Language
The Needle Programming Language The Needle Programming Language 1 What is Needle? Needle is an object-oriented functional programming language with a multimethod-based OO system, and a static type system
C Compiler Targeting the Java Virtual Machine
C Compiler Targeting the Java Virtual Machine Jack Pien Senior Honors Thesis (Advisor: Javed A. Aslam) Dartmouth College Computer Science Technical Report PCS-TR98-334 May 30, 1998 Abstract One of the
PROGRAMMING CONCEPTS AND EMBEDDED PROGRAMMING IN C, C++ and JAVA: Lesson-4: Data Structures: Stacks
PROGRAMMING CONCEPTS AND EMBEDDED PROGRAMMING IN C, C++ and JAVA: Lesson-4: Data Structures: Stacks 1 STACK A structure with a series of data elements with last sent element waiting for a delete operation.
Semantic Analysis: Types and Type Checking
Semantic Analysis Semantic Analysis: Types and Type Checking CS 471 October 10, 2007 Source code Lexical Analysis tokens Syntactic Analysis AST Semantic Analysis AST Intermediate Code Gen lexical errors
SIMULATION COMPARISON AND STEPS TO DO SIMULATION BY AUTOLISP (AUTOCAD) AND PRO-E FOR GEAR PAIR.
SIMULATION COMPARISON AND STEPS TO DO SIMULATION BY AUTOLISP (AUTOCAD) AND PRO-E FOR GEAR PAIR. PRATIK A. SOLANKI Mechatronic Department, B. S. Patel Polytechnic, Ganpat Vidyanagar [email protected]
Chapter 7: Functional Programming Languages
Chapter 7: Functional Programming Languages Aarne Ranta Slides for the book Implementing Programming Languages. An Introduction to Compilers and Interpreters, College Publications, 2012. Fun: a language
2. Abstract State Machines
2. Abstract State Machines The notion of Abstract State Machines (ASMs), defined in [20], captures in mathematically rigorous yet transparent form some fundamental operational intuitions of computing,
Binary Search Trees. A Generic Tree. Binary Trees. Nodes in a binary search tree ( B-S-T) are of the form. P parent. Key. Satellite data L R
Binary Search Trees A Generic Tree Nodes in a binary search tree ( B-S-T) are of the form P parent Key A Satellite data L R B C D E F G H I J The B-S-T has a root node which is the only node whose parent
Roman Numerals Case Study 1996 M. J. Clancy and M. C. Linn
Roman Numerals Case Study 1996 M. J. Clancy and M. C. Linn Background Values less than 3999 in the Roman numeral system are written using seven digits whose decimal equivalents are given in the table below.
Name: Class: Date: 9. The compiler ignores all comments they are there strictly for the convenience of anyone reading the program.
Name: Class: Date: Exam #1 - Prep True/False Indicate whether the statement is true or false. 1. Programming is the process of writing a computer program in a language that the computer can respond to
OMPT and OMPD: OpenMP Tools Application Programming Interfaces for Performance Analysis and Debugging
OMPT and OMPD: OpenMP Tools Application Programming Interfaces for Performance Analysis and Debugging Alexandre Eichenberger, John Mellor-Crummey, Martin Schulz, Nawal Copty, John DelSignore, Robert Dietrich,
by Mario Fusco [email protected] twitter: @mariofusco Monadic
by Mario Fusco [email protected] twitter: @mariofusco Monadic Imperative languages Java C# C / C++ Fortran Add abstractions Scala F# Subtract abstractions Hybrid languages Algol Lisp ML Haskell Functional
1 Introduction. 2 An Interpreter. 2.1 Handling Source Code
1 Introduction The purpose of this assignment is to write an interpreter for a small subset of the Lisp programming language. The interpreter should be able to perform simple arithmetic and comparisons
