'Network flow' diaporamas de présentation

Approximate Frequency Counts over Data Streams

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FPGA Technology Mapping Algorithms

FPGA Technology Mapping Algorithms. FlowMap. Objective: Minimizing signal delays of mapped designs First polynomial-time depth-optimal algorithm Signal delay: Delay in the LUTs Interconnection delay LUT placement is not known ? Only LUT delay is considered ? Interconnection delay:

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Measures in Social Networks: Description versus Prescription

Measures in Social Networks: Description versus Prescription. J. Todd Hamill, Major, USAF Dick Deckro AFIT/ENS.

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Integer Programming Approaches for Automated Planning

Integer Programming Approaches for Automated Planning. Menkes van den Briel Department of Industrial Engineering Arizona State University menkes@asu.edu http://www.public.asu.edu/~dbvan1/. What is automated planning?. Ordering problem

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Advances in Integrated Storage, Transfer and Network Management

Advances in Integrated Storage, Transfer and Network Management. <x> Email: <x>@<y> On behalf of the Ultralight Collaboration. Networking and HEP. The network is a key element, that HEP needs to work on , as much as its Tier1 and Tier2 facilities.

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Parametric Max-Flow Algorithms for Total Variation Minimization

Parametric Max-Flow Algorithms for Total Variation Minimization. W.Yin (Rice University) joint with D.Goldfarb (Columbia), Y.Zhang (Rice), Y.Wang (Rice) 06-01-2007, UCLA Math, Host: S.Osher. TexPoint fonts used in EMF: . Image Processing. filter black box. Noise removal filter.

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Filtering and Data Association

Filtering and Data Association. Filtering Recursive Bayesian estimation (continuous) Probability Theory Data Association Assignment problems (discrete) Combinatorics. Data Association Scenario. Two-frame Matching (Correspondence Problem). Match up detected blobs across video frames.

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Linear Programming

Linear Programming. The process of minimizing a linear objective function subject to a finite number of linear equality and inequality constraints . Example applications: airline crew scheduling manufacturing and production planning portfolio selection telecommunications network design

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UMass Lowell Computer Science 91.503 Analysis of Algorithms Prof. Karen Daniels Spring, 2001

UMass Lowell Computer Science 91.503 Analysis of Algorithms Prof. Karen Daniels Spring, 2001. Lecture 4 Tuesday, 2/19/02 Graph Algorithms: Part 2 Network Flows, Case Study. Network Flow. Chapter 26. Basic Network Flow Concepts. Network Flow. edge weights. source.

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Metrics and Monitoring Capabilities for Earth Science Data Systems

Metrics and Monitoring Capabilities for Earth Science Data Systems. ESDSWG Wilmington, Delaware October 20-22, 2009. Outline. Core and Community Capabilities Network Flow Requirements and Monitoring Science Data Production and Distribution Transitioning from Community to Core.

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Real World Network Security

Real World Network Security. Chuck Goolsbee, digital.forest Julian Y. Koh, Northwestern University Shaun Redmond, Wellington Catholic District School Board. Problems with Security Training. Paranoid Hardly any Mac-specific info Really paranoid

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CSE 421 Algorithms

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Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps

Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps. Authors: Nabieva, et al. Source: Bioinformatics 2005 Reviewed by BH Shen. Goal of the Research Problem.

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Using Argus Audit Trails to Enhance IDS Analysis

Using Argus Audit Trails to Enhance IDS Analysis. Jed Haile Nitro Data Systems jhaile@nitrodata.com. Overview. What is an audit trail? What is Argus? Overview of IP audit trails Why are they useful? Using audit trails to monitor your network

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Network Flow & Linear Programming

Thinking about Algorithms Abstractly. Network Flow & Linear Programming. Jeff Edmonds York University. Network Flow. Instance: A Network is a directed graph G Edges represent pipes that carry flow Each edge <u,v> has a maximum capacity c <u,v> A source node s in which flow arrives

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Simulated Annealing

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Problem Statement

Network Flow : Task Allocation Using Bipartite Match Presented by Adnan Rahath Khan Sk Kajal Arefin Imon. Problem Statement. Using Network Flow Algorithm (Ford Fulkerson and Edmond Karp) to solve maximum task assignment. Input : A bipartite graph with nodes representing tasks and employees.

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Climate and Management Alternatives in Snake River Basin

Climate and Management Alternatives in Snake River Basin . Nathan VanRheenen and Richard N. Palmer Dept. of Civil and Environmental Engineering University of Washington. Goals of Research. How can the potential impacts of climate change be best mitigated?

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ESS 454 Hydrogeology

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