'Steiner tree' diaporamas de présentation

Optimal Distributed All Pairs Shortest Paths

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Finding and Approximating Top- k Answers in Keyword Proximity Search

Finding and Approximating Top- k Answers in Keyword Proximity Search. Benny Kimelfeld and Yehoshua Sagiv. The Selim and Rachel Benin School of Engineering and Computer Science. האוניברסיטה העברית בירושלים. The Hebrew University of Jerusalem. Keyword Proximity Search (KPS). The Goal:.

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Project SARU

Project SARU. How to situate Access Remote Units and construct a minimal cost fibre optic cable network. July 2006. Ivana Ljubic University Vienna Bertram Wassermann Telekom Austria. Introduction. Broadband demand increases. New products and Services (ADSL TV)

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Architectures and Applications for Wireless Sensor Networks (01204525) Routing

Architectures and Applications for Wireless Sensor Networks (01204525) Routing. Chaiporn Jaikaeo chaiporn.j@ku.ac.th Department of Computer Engineering Kasetsart University. Materials taken from lecture slides by Karl and Willig. Overview. Unicast routing in MANETs

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Greedy Approximation with Non- submodular Potential Function

Greedy Approximation with Non- submodular Potential Function. Ding-Zhu Du. Chapter 2. Greedy Strategy. III. Nonsubmodular Potential Function. Connected Dominating Set. Given a graph, find a minimum node-subset such that

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Boosted Sampling: Approximation Algorithms for Stochastic Problems

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Chapter 3 Restriction (3)Power of Spanning Tree

Chapter 3 Restriction (3)Power of Spanning Tree. Ding-Zhu Du. Steiner Tree with Minimum Number of Steiner Points. Steinerized Spanning Trees. Minimum Steinerized Spanning Tree. A Property of MST. Analysis. Consider an optimal solution and modify it to meet the restriction.

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A Truthful 2-approximation Mechanism for the Steiner Tree Problem

A Truthful 2-approximation Mechanism for the Steiner Tree Problem. The Steiner Tree problem. INPUT : Undirected, weighted graph G=(V,E,c) N ? V: set of terminal nodes OUTPUT : a tree T spanning N of minimum total cost, i.e., which minimizes c(T)= ? e?T c(e). An example. N={a,b,c}. 5.

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Boosted Sampling: Approximation Algorithms for Stochastic Problems

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Parallel Algorithms for Geometric Graph Problems

Parallel Algorithms for Geometric Graph Problems. Grigory Yaroslavtsev http://grigory.us. To appear in STOC 2014, j oint work with Alexandr Andoni , Krzysztof Onak and Aleksandar Nikolov . Postdoctoral Fellow. icerm.brown.edu. By Mike Cohea.

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Network Layer Routing Issues (I)

Network Layer Routing Issues (I) . Infrastructure vs. multi-hop. Infrastructure networks: One or several Access-Points (AP) connected to the wired network Mobile nodes communicate through the AP Multi-hop network ( Infrastructureless ):

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Query Formation From High-Level Concepts for Relational Databases

Query Formation From High-Level Concepts for Relational Databases. Guogen Zhang Wesley Chu Frank Meng Gladys Kong Computer Science Department University of California Los Angeles, CA http://www.cobase.cs.ucla.edu. Outlines. Overview Semantic Graph Model

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The Influence of Network Topology on the Efficiency of QoS Multicast Heuristic Algorithms

CSNDSP '2006. The Influence of Network Topology on the Efficiency of QoS Multicast Heuristic Algorithms. Maciej Piechowiak Piotr Zwierzykowski Poznan University of Technology, Poland Institute of Electronics and Telecommunications. Outline. Network topology model

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NP-complete Problems and Physical Reality

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Cache Placement in Sensor Networks Under Update Cost Constraint

Cache Placement in Sensor Networks Under Update Cost Constraint. Bin Tang, Samir Das, and Himanshu Gupta Department of Computer Science Stony Brook University Stony Brook, NY 11790. Outline. Problem Statement Motivation Algorithm Design Performance Evaluation

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The Fault-Tolerant Group Steiner Problem

The Fault-Tolerant Group Steiner Problem. Rohit Khandekar IBM Watson Joint work with G. Kortsarz and Z. Nutov. Fault-tolerant group Steiner problem. Given: A weighted graph G(V,E) , a collection of subsets (groups) g i ? V and a root r .

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Quantum Computing and the Limits of the Efficiently Computable

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Efficient Type-Ahead Search on Relational Data: a Tastier Approach

Shubha S. Suvarna (ss12an). Efficient Type-Ahead Search on Relational Data: a Tastier Approach. Guoliang Li, Shengyue Ji , Chen Li, and Jianhua Feng SIGMOD, 2009. Introduction Terminology System Architecture Indexing Structure Improving efficiency . Contents.

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Relay Sensor Placement in Wireless Sensor Networks

Relay Sensor Placement in Wireless Sensor Networks. Xiuzhen Cheng, Dign-Zhu Du, Lusheng Wang, and Baogang Xu (ACM WINET 2004) Presented by Taehee Kim. Table of Contents. Related Work Problem Definition Relay sensor placement problem SMT-MSP

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Sankoff turns 50!! Using Spannoids [k-restricted Steiner Trees] for Sequence Analysis

Sankoff turns 50!! Using Spannoids [k-restricted Steiner Trees] for Sequence Analysis Videocast August 23 rd 2013 from Aarhus to Montreal. Apologies: Absence and Video Cast String Edits, Time Warps and Macromolecules [ Sankoff and Kruskal , 1983]

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