'Running time' presentation slideshows

1.23k views • 80 slides

Efficiency of Algorithms

Efficiency of Algorithms. Readings: [SG] Ch. 3 Chapter Outline: Attributes of Algorithms Measuring Efficiency of Algorithms Simple Analysis of Algorithms Polynomial vs Exponential Time Algorithms. Efficiency of Algorithms. Readings: [SG] Ch. 3 Chapter Outline: Attributes of Algorithms

993 views • 75 slides

What can Quantum Cryptographers Learn from History?

What can Quantum Cryptographers Learn from History?. Kenny Paterson kenny.paterson@rhul.ac.uk Information Security Group Royal Holloway, University of London. 0. Preface. According to MIT Technology Review, in 2003 , QC was one of:

728 views • 60 slides

The Class NP

938 views • 53 slides

The Class NP

918 views • 53 slides

Mathematical Induction II

Mathematical Induction II. Lecture 5: Sep 19. This Lecture. We will continue our discussions on mathematical induction. The new elements in this lecture are some variants of induction: Strong induction Well Ordering Principle Invariant Method. a. b. Unstacking Game.

715 views • 41 slides

Administrative

577 views • 33 slides

Shortest Path Algorithms

Shortest Path Algorithms. Andreas Klappenecker [based on slides by Prof. Welch]. s. t. Single Source Shortest Path Problem. Given: a directed or undirected graph G = (V,E), a source node s in V, and a weight function w: E -> R.

638 views • 32 slides

Shortest Path Algorithms

Shortest Path Algorithms. Andreas Klappenecker [based on slides by Prof. Welch]. s. t. Single Source Shortest Path Problem. Given: a directed or undirected graph G = (V,E), a source node s in V, and a weight function w: E -> R.

591 views • 32 slides

An introduction to Approximation Algorithms Presented By Iman Sadeghi

Approximation Algorithms. An introduction to Approximation Algorithms Presented By Iman Sadeghi. Overview. Introduction Performance ratios The vertex-cover problem Traveling salesman problem Set cover problem. Introduction. There are many important NP-Complete problems

501 views • 29 slides

Analysis of Algorithms

705 views • 28 slides

Depth-first search

COMP171 Fall 2005. Depth-first search . Depth-First Search (DFS). DFS is another popular graph search strategy Idea is similar to pre-order traversal (visit children first) DFS can provide certain information about the graph that BFS cannot

872 views • 27 slides

Static Linking VS. Dynamic Linking

Static Linking VS. Dynamic Linking. Haitao Wang, Xiaomin Liu December 13, 2006. Static Linking. Carried out only once to produce an executable file. If static libraries are called, the linker will copy all the modules referenced by the program to the executable. Dynamic Linking.

770 views • 25 slides

CS 3343: Analysis of Algorithms

CS 3343: Analysis of Algorithms. Order Statistics. Order statistics. The i th order statistic in a set of n elements is the i th smallest element The minimum is thus the 1 st order statistic The maximum is the n th order statistic The median is the n/2 order statistic

622 views • 25 slides

SORTING

378 views • 21 slides

Balanced Graph Partitioning

752 views • 20 slides

Quick-Sort

985 views • 18 slides

3.3 Complexity of Algorithms

3.3 Complexity of Algorithms. Linear Search Algorithm Determine if 3 is in the following lists A= { 1 4 8 -1 2 } B= { 3 4 8 6 5 } C= { 1 2 4 9 10 11 12 14 19 10 -11 0 } D= { 1 3 2 4 }

330 views • 18 slides

Algorithmic Analysis

309 views • 15 slides

MiniMax Principle in Game Theory

MiniMax Principle in Game Theory. Slides Made by Senjuti Basu Roy. MiniMax Principle from Game Theory is used to provide a lower bound of the running time of the Randomized AND-OR tree algorithm. Rachael and Chris play a game with three objects: Stone Paper Scissors

620 views • 9 slides