'Longest path' diaporamas de présentation

Trees

1.19k views • 102 slides

Trees

Trees. Chapter 6. Outline. Preliminaries What is Tree? Implementation of Trees using C++ Tree traversals and applications Binary Trees Binary Search Trees Structure and operations Analysis AVL Trees. root. T k. T 1. T 2. . What is a Tree?.

1.4k views • 74 slides

Flow Time and Theoretical Flow Time

Flow Time and Theoretical Flow Time. 1: Flow Time 2: Paths on a Network of Activities and the Critical Path 3: Flow Time Levers 4. Critical Path Method and Slacks. 1. Competitive Advantages of a shorter flow time. Shorter response time ( both in production and product design ).

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RNA PACKAGING IN VIRUSES

Boulder 2006: Lecture 2, William M. Gelbart. RNA PACKAGING IN VIRUSES. What are the differences between ssRNA and dsDNA? What are the consequent differences between self-assembled and motor-packaged viruses?

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Bounding Variance and Expectation of Longest Path Lengths in DAGs Jeff Edmonds, York University

Bounding Variance and Expectation of Longest Path Lengths in DAGs Jeff Edmonds, York University Supratik Chakraborty, IIT Bombay. Motivation. Statistical timing analysis of circuits Mean and std deviation of component delays provided by manufacturers

501 views • 38 slides

AVL Trees

AVL Trees. When bad trees happen to good programmers. Good tree. Bad tree. Bad tree. Left and right subtrees have the same height!. For every node in the tree, the left and right subtrees of that node have the same height. Too rigid. AVL Trees. (Adelson-Velskii and Landis)

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On Graphs that are not PCGs

On Graphs that are not PCGs. Stephane Durocher 1 Debajyoti Mondal 1 Md. Saidur Rahman 2. 1 Department of Computer Science, University of Manitoba 2 Department of Computer Science & Engineering, Bangladesh University of Engineering and Technology (BUET).

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Algorithms analysis and design

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EMIS 8373: Integer Programming

EMIS 8373: Integer Programming. Complexity and Problem Reductions updated 23 April 2009. Decision Problems. The decision or recognition version of an optimization problem is posed as a yes-no question.

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Backward Reasoning with Formal Properties: A methodology for bug isolation on simulation traces

Backward Reasoning with Formal Properties: A methodology for bug isolation on simulation traces. Anvesh Komuravelli 1 Srobona Mitra 1 Ansuman Banerjee 2 Pallab Dasgupta 1 1 Dept. of Comp. Sc. & Engg., IIT Kharagpur 2 Adv. Comp. & Microelectronics Unit, ISI Kolkata

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4 - Bit Arithmetic Logic Unit 74HC/HCT181

4 - Bit Arithmetic Logic Unit 74HC/HCT181. Aruna Ketaraju Sowmya Paramkusam Balakrishna Peddireddi Advisor: Dave Parent 12/06/2004. Agenda. Abstract Introduction Design Process Methodology Logic Verification Worst-case Delay Calculations Results Cost Analysis Conclusions. Abstract.

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By Alexander Strizhiver Michael Shamis Supervised by Mark Moulin

Control and Robotics Lab Electrical Engineering Department , Technion Search of targets by multiple UAVs using a probability map. By Alexander Strizhiver Michael Shamis Supervised by Mark Moulin. Presentation outline. Definition of probability map

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ECEN 248: INTRODUCTION TO DIGITAL SYSTEMS DESIGN

ECEN 248: INTRODUCTION TO DIGITAL SYSTEMS DESIGN. Dr. Shi Dept. of Electrical and Computer Engineering. TIMING ANALYSIS. Overview. Circuits do not respond instantaneously to input changes Predictable delay in transferring inputs to outputs Propagation delay

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Title

Advice: Do not read each slide, explain each slide to the audience. Please do not go over 15 slides!. Title. Do not change the background!. Your name goes here. Advisor: Dave Parent DATE. Agenda. Abstract Introduction Why Simple Theory Back Ground information (Lit Review)

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5 Bit Encoder Used for Analog to Digital Converter

5 Bit Encoder Used for Analog to Digital Converter. Jeng Ou Sandeep Bendale Charisse Landicho Jae Bae Advisor: David Parent December 5 th , 2005. Agenda. Abstract Introduction Why Simple Theory Back Ground information (Brief Review) Summary of Results Project (Experimental) Details

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The Manhattan Tourist Problem

The Manhattan Tourist Problem. Shane Wood 4/29/08 CS 329E. Problem Summary. A tourist group in Manhattan wishes to see as many sights moving south-east from the corner of 59 th St. and 8 th Ave. to 42 nd Street and Lexington Ave. How can we achieve this using dynamic programming?.

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Path-Based Scheduling

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Flow Time 2-Critical Path Method Based on the book: Managing Business Process Flows

Flow Time 2-Critical Path Method Based on the book: Managing Business Process Flows. 6. 4. A3. A1. 4. 3. S. E. A4. A6. 3. 2. A2. A5. Flow Time Example: Activity Times. What is the Theoretical Flow Time. Critical Path method. Ardavan Asef-Vaziri, Sep. 2013. 2. A3. A1. S. E.

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PERT Program Evaluation and Review Technique

579 views • 10 slides