'Modern programming languages' diaporamas de présentation

Advanced Programming Techniques

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The joys of recursion

The joys of recursion. Programming Fundamentals 22 Feliks Klu ? niak. Most modern programming languages have very similar runtime models. The memory occupied by a TL program is organized like this:. Code. The stack. Free space. The heap.

1.68k views • 155 slides

Lecture 2 History of Programming Languages

UNIVERSITY OF CENTRAL FLORIDA. Lecture 2 History of Programming Languages. Class 2: History of Programming Languages . FORTRAN ALGOL ? SIMULA COBOL PL/1 BASIC PASCAL C LISP The so called High Level Programming Languages started their development in the mid 50s.

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A First Look At Prolog

A First Look At Prolog. Outline. Terms Using a Prolog language system Rules The two faces of Prolog Operators Lists Negation and failure What Prolog is good for. Terms. Everything in Prolog is built from terms : Prolog programs The data manipulated by Prolog programs

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Types

Types. A Type Is A Set. int n;. When you declare that a variable has a certain type, you are saying that the values the variable can have are elements of a certain set A type is a set of values plus a low-level representation

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Chapter 5: Recursion

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Defining Program Syntax

Defining Program Syntax. Syntax And Semantics. Programming language syntax: how programs look, their form and structure Syntax is defined using a kind of formal grammar Programming language semantics: what programs do, their behavior and meaning

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Introduction

Introduction. COMP 401, Spring 2013 Lecture 1 1/10/2013. How do we understand the world?. The Evolution of Programming. Simple programs are programmed simply. A program can just be a sequence of instructions. Each instruction causes a change in overall state.

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Programming Logic and Design Seventh Edition

Programming Logic and Design Seventh Edition. Chapter 4 Making Decisions. Objectives. In this chapter, you will learn about: Evaluating b oolean expressions to make comparisons The relational comparison operators AND logic OR logic Making selections within ranges

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Recursion and Implementation of Functions

Recursion and Implementation of Functions. CS-2303 System Programming Concepts (Slides include materials from The C Programming Language , 2 nd edition, by Kernighan and Ritchie and from C: How to Program , 5 th and 6 th editions, by Deitel and Deitel). Definition.

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Turing completeness

Turing completeness. Outline. In this topic, we will: Ask what is computable Describe a Turing machine Define Turing completeness. Computability. How do we define what is and what is not computable?

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Strategy of Modelling

Strategy of Modelling. Part of a short course by William Silvert Senior Research Fellow IPIMAR / DAA Lisboa, Portugal. Modelling Strategy. To build a model you must plan your strategy carefully.

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D I F Lesson 03: Computer Programming

D I F Lesson 03: Computer Programming. The Algorithm. A List of Well-Defined Instructions for Completing a Task. Algorithm to Bake a Cake. How Detailed Does an Algorithm Need to Be?. Troubleshooting Algorithm. Boolean Logic. Logic Gates.

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Programming Languages

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Cache Memory

What is it and why do we need it?. Cache Memory. Chris Ward CS147 10/16/2008. Why do we need Cache?. What drives us to require cache? How and Why does it work? ???. Our Memory Needs. What we would prefer in our Computer Memory: Fast Large Cheap However,

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A Hierarchical Measure for Software Complexity

A Hierarchical Measure for Software Complexity. Dirk Beyer Jeff Jiang Presented by: Ashgan Fararooy. Abstract. The complexity of the software product can affect software quality A new simple metric is presented to determine the complexity of a software system

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Proposed Notation for Exception Handling in UML 2 Sequence Diagrams

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Chapter 5: Hashing

Chapter 5: Hashing. Hash Table ADT. Hash Functions. Collision Resolution. Rehashing. CS 340. Page 89. Hashing. Hashing is a technique for performing searches, insertions, and deletions from a list in constant time.

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