'Java implementation' diaporamas de présentation

The Java Language Implementation

CS 242. The Java Language Implementation. John Mitchell. Reading: Chapter 13 + Gilad Bracha, Generics in the Java Programming Language, Sun Microsystems, 2004 (see web site). Language Overview History and design goals Classes and Inheritance Object features Encapsulation Inheritance

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Finding sequence motifs in PBM data Workshop Project

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Tracking Bad Apples: Reporting the Origin of Null & Undefined Value Errors

Tracking Bad Apples: Reporting the Origin of Null & Undefined Value Errors. Example Code. User code :. float[][] data = {{1.0f, 2.0f}, {3.0f, 4.0f}}; ScatterPlot plot = new ScatterPlot(data, null); . plot.draw(...);. NullPointerException at ScatterPlot.draw():315

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Overview

Overview.

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Overview

Overview.

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CHAPTER 10 FUN AND GAMES Group 1: Xiangling Liu

CHAPTER 10 FUN AND GAMES Group 1: Xiangling Liu. PART I Overview of the Chapter. OBJECT. How to use the binary search algorithm in word search puzzle problem to solve large instances of a word search in under 1 sec

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Story Segmentation in English Mandarin and Arabic Broadcast News

Story Segmentation in English Mandarin and Arabic Broadcast News. Andrew Rosenberg, Julia Hirschberg Columbia University 5/31/06. Outline. Introduction Approach Motivating Example Results. Why do we need story segmentation?. News shows commonly contain many distinct stories.

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Quick-Sort

7 4 9 6 2 ? 2 4 6 7 9. 4 2 ? 2 4. 7 9 ? 7 9. 2 ? 2. 9 ? 9. Quick-Sort. Quick-sort is a randomized sorting algorithm based on the divide-and-conquer paradigm: Divide : pick a random element x (called pivot ) and partition S into L elements less than x

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Hadoop : The Definitive Guide Chap. 2 MapReduce

Hadoop : The Definitive Guide Chap. 2 MapReduce. Kisung Kim. MapReduce. Programming model for parallel data processing Hadoop can run MapReduce programs written in various languages: e.g . Java, Ruby, Python, C ++ In this chapter Introduce MapReduce programming using a simple example

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Reliable Objects: Lightweight Testing for OO Languages

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Pan Compiler

Pan Compiler. C. Loomis (LAL-Orsay) Quattor Workshop (Madrid) 29-30 October 2007. Contents. Current Status Planned Language Changes Performance Proposed Feature Changes Roadmap Discussion. Links. Pan Documentation Language ( https://trac.lal.in2p3.fr/LCGQWG/wiki/Doc/panc )

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Pan Compiler

Pan Compiler. C. Loomis (LAL-Orsay) Quattor Workshop (Madrid) 29-30 October 2007. Contents. Current Status Planned Language Changes Performance Proposed Feature Changes Roadmap Discussion. Links. Pan Documentation Language ( https://trac.lal.in2p3.fr/LCGQWG/wiki/Doc/panc )

218 views • 12 slides

Pan Compiler

Pan Compiler. C. Loomis (LAL-Orsay) Quattor Workshop (Madrid) 29-30 October 2007. Contents. Current Status Planned Language Changes Performance Proposed Feature Changes Roadmap Discussion. Links. Pan Documentation Language ( https://trac.lal.in2p3.fr/LCGQWG/wiki/Doc/panc )

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JCA 2.0

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IDA2: Intelligent Discovery of Acronyms and Abbreviations

IDA2: Intelligent Discovery of Acronyms and Abbreviations. Adam Mallen under the advisement of Dr. Craig Struble and Dr. Lenwood Heath. Example Medline Abstract.

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Introduction to Lisp

Introduction to Lisp. Peter D. Karp, Ph.D. Bioinformatics Research Group SRI International pkarp@ai.sri.com. Approx presentation time along with hello.lisp : 1.5 hrs. Common Lisp Programming Environment. Interpreted and/or compiled execution Interactive data exploration

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Specializing Project 06/07 HTN

Specializing Project 06/07 HTN. Presentation for MS1 By Glenn Wissing. Project information. The goal is learn more about AI, the planning technique HTN to be more specific. Using the HTN planner SHOP. Using JavaBot for visualizing and testing.

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Tango Java Events

Tango Java Events. Used omniNotify idl files : AttNotifyChannelAdmin.idl CosNotification.idl CosNotifyChannelAdmin.idl CosNotifyFilter.idl CosTime.idl CosTimerEvent.idl RDITestTypes.idl JacORB provides a java implementation of the CORBA Event Service

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