'Time complexity' diaporamas de présentation

Building Cognitive Radio Networks

Building Cognitive Radio Networks. Prof. Joseph B. Evans Prof. Gary J. Minden The University of Kansas Information and Telecommunications Technology Center 2335 Irving Hill Road Lawrence, KS 66045 <evans@ittc.ku.edu>. Building Cognitive Radios. Introduction and Motivation

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Clustering

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Drama At the Oscars

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Informed Search Methods

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Faster Query Answering in Probabilistic Databases using Read-Once Functions

Faster Query Answering in Probabilistic Databases using Read-Once Functions. Sudeepa Roy Joint work with Vittorio Perduca Val Tannen University of Pennsylvania. Probabilistic Databases. Possible worlds model Each possible world w is a standard database instance, has a probability P[w]

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Algorithm Analysis (Big O)

Algorithm Analysis (Big O). Complexity. In examining algorithm efficiency we must understand the idea of complexity Space complexity Time Complexity. Space Complexity.

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Computing Diameter in the Streaming and Sliding-Window Models

J. Feigenbaum, S. Kannan, J. Zhang. Computing Diameter in the Streaming and Sliding-Window Models. Introduction. Two computational models: Streaming model Sliding-window model

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A New Analysis of the LebMeasure Algorithm for Calculating Hypervolume

A New Analysis of the LebMeasure Algorithm for Calculating Hypervolume. Lyndon While Walking Fish Group School of Computer Science & Software Engineering The University of Western Australia. Overview. Metrics for MOEAs Hypervolume LebMeasure and its behaviour

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Sorting Socks is Algorithm Complexity

Sorting Socks is Algorithm Complexity. A lesson from TryEngineering.org. Lesson Focus. The field of Computational Complexity is the study of whether problems can be solved, and how fast.

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Fast algorithm for detecting community structure in networks.

Fast algorithm for detecting community structure in networks. M. E. J. Newman, (2004). Presented by Muad Abu-Ata. Community structure. groups of vertices within which connections are dense but between which they are sparser. Within-group( intra-group) edges. High density

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CSE 5311 Advanced Algorithms

CSE 5311 Advanced Algorithms. Instructor: Dr. Gautam Das Week 3 Class Notes Submitted By: Abhishek Hemrajani & Pinky Dewani. CSE 5311 Advanced Algorithms. Topics Covered in Week 3: Median Finding Algorithm (Description and Analysis) Binary Search Tree. CSE 5311 Advanced Algorithms.

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COMP 14 Introduction to Programming

COMP 14 Introduction to Programming. Miguel A. Otaduy June 4, 2004. Today. Review arrays Searching arrays for a particular value Sorting arrays. 0. 1. 2. 3. Exercises. 1. Find Sum and Average of Array 2. Determine Largest and Smallest Elements in Array. 0. 1. 2. 3. Example.

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Introduction to Analysis of Algorithms

Introduction to Analysis of Algorithms. Objectives. To introduce the concept of analysing algorithms with respect to the time taken to have them executed Purpose: To see if an algorithm is practical To compare different algorithms for solving a problem. 1- 2.

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Time Complexity

Time Complexity. The best, worst, and average-case complexities of a given algorithm are numerical functions of the size of the instances.

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Testing and Debugging pt.2 Intro to Complexity

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Sequence Alignment

Sequence Alignment. Algorithms in Computational Biology Spring 2006. Edited by Itai Sharon Most slides have been created and edited by Nir Friedman, Dan Geiger, Shlomo Moran and Ydo Wexler. Sequence Comparison. Much of bioinformatics involves sequences DNA sequences RNA sequences

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Recurrence Relations

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Approximate String Matching using Compressed Suffix Arrays

Approximate String Matching using Compressed Suffix Arrays. T.N.D. Huynh, W.K. Sung National University of Singapore W.K. Hon , T.W. Lam The University of Hong Kong. String Matching Problem.

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Energy-efficient distributed algorithms for wireless ad hoc networks

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