'Greedy algorithms' presentation slideshows

Optimization Problems

Optimization Problems. Optimization problem: a problem of finding the best solution from all feasible solutions. Two common techniques: Greedy Algorithms (local) Dynamic Programming (global). Greedy Algorithms. Greedy algorithms typically consist of A set of candidate solutions

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New Adaptive Localization Algorithms That Achieve Better Coverage for Wireless Sensor Networks

New Adaptive Localization Algorithms That Achieve Better Coverage for Wireless Sensor Networks. Advisor : Chiuyuan Chen Student: Shao-Chun Lin Department of Applied Mathematics National Chiao Tung University 2013/8/11. Introduction.

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LING 408/508: Computational Techniques for Linguists

LING 408/508: Computational Techniques for Linguists. Lecture 10 9/12/2012. Outline. Selection sort Optimization problems Greedy algorithms Uses of None List comprehensions. Selection sort. Ideas: Find the minimum value in the list Swap it with the value in the first position

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Data Structure & Algorithm

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Data Structures, Algorithms and Complexity

Data Structures, Algorithms and Complexity. Overview of Data Structures and Basic Algorithms. Computational Complexity. Asymptotic Notation. Svetlin Nakov. Telerik Software Academy. academy.telerik.com. Technical Trainer. www.nakov.com. Table of Contents. Data Structures Overview

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Community structure in graphs

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Directional consistency Chapter 4

Directional consistency Chapter 4. ICS-179 Spring 2010. Backtrack-free search: or What level of consistency will guarantee global-consistency. Directional arc-consistency: another restriction on propagation. D4={white,blue,black} D3={red,white,blue} D2={green,white,black}

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Design and Analysis of Algorithms Activity selection, 0-1 knapsack, and fractional knapsack

Design and Analysis of Algorithms Activity selection, 0-1 knapsack, and fractional knapsack. Haidong Xue Summer 2012, at GSU. Activity selection. Activity = <start time s, finish time f>, f>=s A set of activities:. a1. a2. a3. 12. 11. 10. 9. 15. 7. 5. 3. 4. 6. 2. 1. 0. 16.

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Analysis of Algorithms CS 477/677

Analysis of Algorithms CS 477/677. Instructor: Monica Nicolescu Lecture 25. Final Exam. Monday, May 12, 10:15am-12: 15pm in AB 106 Exam structure: TRUE/FALSE questions short questions on the topics discussed in class homework-like problems

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Greedy Algorithms:

Greedy Algorithms:. A greedy algorithm always makes the choice that looks best at the moment. It makes a local optimal choice in the hope that this choice will lead to a globally optimal solution. Greedy algorithms yield optimal solutions for many (but not all) problems. .

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Minimum Spanning Trees

Minimum Spanning Trees. Minimum Spanning Trees. Create a Tree that connect all vertices If is weight between u and v , then: Our job: minimize w ( T ) We can use a greedy approach. General Proof for MSTs. General idea for loop invariant:

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Greedy Algorithms

Greedy Algorithms. Data Structures and Algorithms A. G. Malamos. Introduction. Greedy algorithms build up a solution piece by piece, always choosing the next piece that offers the most obvious and immediate benefit. Although such an approach can be

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Greed is Good But gluttony is a deadly sin

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Longest Common Subsequence

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Introduction to Greedy Algorithms

Introduction to Greedy Algorithms. The greedy technique Problems explored The coin changing problem Activity selection. Optimization problems. An optimization problem: Given a problem instance, a set of constraints and an objective function .

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Trees and Cycles.

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Algorithm for optimal winner determination in combinatorial auctions

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Chapter 3

Chapter 3. 3.1 Algorithms 3.2 The Growth of Functions 3.3 Complexity of Algorithms 3.4 The Integers and Division 3.5 Primes and Greatest Common Divisors 3.6 Integers and Algorithms 3.7 Applications of Number Theory 3.8 Matrices. Chapter 3. 3.1 Algorithms Searching Algorithms

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Greedy Algorithms

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Analysis and Design of Algorithms

Analysis and Design of Algorithms. An algorithm is a method of solving problem (on a computer) Problem example: given a set of points on the plane find the closest pair Algorithm: find distance between all pairs Can we do it faster?. Combinatorial Problems. Closest pair

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