'Asymptotic analysis' diaporamas de présentation

CS 61b: Final Review

1.25k views • 113 slides

CS 61b: Final Review

1.14k views • 91 slides

A Sophomoric Introduction to Shared-Memory Parallelism and Concurrency Lecture 3 Parallel Prefix, Pack, and Sorting

A Sophomoric Introduction to Shared-Memory Parallelism and Concurrency Lecture 3 Parallel Prefix, Pack, and Sorting. Steve Wolfman , based on work by Dan Grossman. Learning Goals.

673 views • 47 slides

Network Optimization

Network Optimization. Lectures 15,16 - 1. Taxonomy of TC. 1. 1. 1. 1. Unit Disk Graph. Consisted of a set V of n nodes Distributed in a two-dimensional plane Equipped an omnidirectional antenna with the same P max Unit disk graph, UDG ( V ). V. 0.8. 0.8. 0.4. 0.4. 0.5. 0.5.

566 views • 47 slides

Introduction to Algorithms (2 nd edition)

Introduction to Algorithms (2 nd edition). by Cormen, Leiserson, Rivest & Stein Chapter 3: Growth of Functions (slides enhanced by N. Adlai A. DePano). Overview. Order of growth of functions provides a simple characterization of efficiency

677 views • 29 slides

Theory of Computing

Theory of Computing. Lecture 1 MAS 714 Hartmut Klauck. Organization:. Lectures: Tue 9:30-11:30 TR+20 Fr 9:30-10:30 Tutorial: Fr:10:30-11:30 Exceptions: This week no tutorial, next Tuesday no lecture. Organization. Final: 60%, Midterm: 20%, Homework: 20%

392 views • 27 slides

Analysis of Algorithms

445 views • 26 slides

Analysis of Algorithms

Analysis of Algorithms. Analyzing Algorithms. We need methods and metrics to analyze algorithms for: Correctness Methods for proving correctness Efficiency Time complexity, Asymptotic analysis. Lecture Outline. Short Review on Asymptotic Analysis Asymptotic notations

435 views • 26 slides

MC-CDMA vs DS-CDMA M. des Noes and D. Ktenas (presented by Sylvie Mayrargue)

MC-CDMA vs DS-CDMA M. des Noes and D. Ktenas (presented by Sylvie Mayrargue). Outline. Context of the comparison : Simulation assumptions Asymptotic analysis DS and MC-CDMA system models. For each detector : Linear filter description Simulation results Interpretation

444 views • 25 slides

Introduction to Algorithms (2 nd edition)

Introduction to Algorithms (2 nd edition). by Cormen, Leiserson, Rivest & Stein Chapter 3: Growth of Functions (slides enhanced by N. Adlai A. DePano). Overview. Order of growth of functions provides a simple characterization of efficiency

343 views • 23 slides

Introduction to Algorithms (2 nd edition)

Introduction to Algorithms (2 nd edition). by Cormen, Leiserson, Rivest & Stein Chapter 3: Growth of Functions (slides enhanced by N. Adlai A. DePano). Overview. Order of growth of functions provides a simple characterization of efficiency

347 views • 23 slides

CSC 430: Basics of Algorithm Runtime Analysis

351 views • 21 slides

Road Map for Today

Computer Science 102 Data Structures and Algorithms V22.0102 Fall 2010 Lecture 1: administrative details Professor: Evan Korth New York University. 1. Road Map for Today. Welcome to Introduction to Data Structures Course Description What material will we cover?

272 views • 19 slides

Non-Parametric Mitigation of Periodic Impulsive Noise in Narrowband Powerline Communications

Non-Parametric Mitigation of Periodic Impulsive Noise in Narrowband Powerline Communications. Jing Lin and Brian L. Evans Department of Electrical and Computer Engineering The University of Texas at Austin Dec. 11, 2013. PLC for Local Utility Smart Grid Applications. Local utility.

397 views • 18 slides

Algorithm Analysis Part 2

Algorithm Analysis Part 2. Complexity Analysis. Introduction. Algorithm Analysis measures the efficiency of an algorithm, or its implementation as a program, as the input size becomes large Actually, an estimation technique and does not tell anything about the relative merits of two programs

463 views • 15 slides

Runtime Efficiency

Runtime Efficiency. Efficiency (Complexity). The rate at which storage or time grows as a function of the problem size. Two types of efficiency: Time efficiency Space efficiency There are always tradeoffs between these two efficiencies. Example: singly vs. doubly linked list.

315 views • 14 slides

Big-O

Big-O. Algorithm Analysis. Exact analysis: produce a function f ( n) measuring how many basic steps are needed for a given inputs n On any input of size n, the algorithm runs for at most 7n 2 + 3n + 8 steps Do we really need such a precise measurement?

396 views • 14 slides

Additional Examples

Asymptotic Analysis. Additional Examples. Design and Analysis of Algorithms I. Example #1. Example #2. Example #3. Example #3 (continued).

131 views • 5 slides

Merge Sort (Overview)

Introduction. Merge Sort (Overview). Design and Analysis of Algorithms I. Why Study Merge Sort?. Good introduction to divide & conquer Improves over Selection, Insertion, Bubble sorts Calibrate your preparation

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Big-Oh: Definition

Asymptotic Analysis. Big-Oh: Definition. Design and Analysis of Algorithms I. Big-Oh: English Definition. Big-Oh: Formal Definition.

140 views • 3 slides