'Flow problem' presentation slideshows

Max Flow

Max Flow. CS302, Spring 2013 David Kauchak. Admin. Max Power. http:// www.youtube.com / watch?v =vDA-SAwz2VQ. S. A. B. T. Student networking. You decide to create your own campus network: You get three of your friends and string some network cables

1.05k views • 84 slides

Max Flow

Max Flow. CS302, Spring 2012 David Kauchak. Admin. S. A. B. T. Student networking. You decide to create your own campus network: You get three of your friends and string some network cables

903 views • 73 slides

Max Flow Applications

713 views • 61 slides

Catfish Pond Construction

Catfish Pond Construction. Gary Burtle Animal & Dairy Science, UGA Tifton, GA. Catfish Ponds on Level Land. Catfish Pond Dimensions. Approximately 10 acres, 600 ft wide Average 4 ft deep Smooth bottom, 1% slope or less Levees at least 10 ft wide at top Levee slopes 3:1 or best 5:1

782 views • 47 slides

Chapter 9

Chapter 9. Binary Integer. Programming. Dr. Ardavan Asef-Vaziri Industrial Engineering April 2002. Computational Complexity . Computationally speaking, we can partition problems into two categories. Easy Problems and Hard Problems

630 views • 47 slides

Analysis of Algorithms

Analysis of Algorithms. Maximum weight matching. Uri Zwick May 2014. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A A. Maximum Weight Matching. Find a matching whose total weight is maximal. 3. 22. 6. 8. 15. 4. 18. 1. 5. 25. 2.

535 views • 43 slides

15.082J and 6.855J and ESD.78J

15.082J and 6.855J and ESD.78J. The Successive Shortest Path Algorithm and the Capacity Scaling Algorithm for the Minimum Cost Flow Problem. Overview of lecture. Quick review of min cost flow and optimality conditions Pseudoflows The successive shortest path algorithm

449 views • 35 slides

EL736 Communications Networks II: Design and Algorithms

EL736 Communications Networks II: Design and Algorithms. Class6: Optimization Methods (II) Yong Liu 10/17/2007. Outline. AMPL/CPLEX Package introduction example Stochastic Methods Local Search Simulated Annealing Evolutionary Algorithms Simulated Allocation.

379 views • 30 slides

15.053 Thursday, March 14 Introduction to Network Flows Handouts: Lecture Notes

15.053 Thursday, March 14 Introduction to Network Flows Handouts: Lecture Notes. Network Models Linear Programming models that exhibit a very special structure Can use this structure to dramatically reduce computational complexity

311 views • 30 slides

Designing Overlay Multicast Networks for Commercial Streaming

Designing Overlay Multicast Networks for Commercial Streaming. Konstantin Andreev Bruce Maggs Adam Meyerson Ramesh Sitaraman. Differences for Streaming. Player rather than browser Streaming server rather than web server Feed from live event must be distributed to server

380 views • 27 slides

EMIS 8374 Solving Max Flow Problems with Non-Zero Lower Bounds Updated 18 March 2008

EMIS 8374 Solving Max Flow Problems with Non-Zero Lower Bounds Updated 18 March 2008. Not Always Feasible. 2. (3,5). 1. s. (0,2). 3. ( ? , u ). t. Example Max Flow Problem. ( ? , u ). (0,2). 2. 4. (0,4). (0,5). 1. 6. (3,6). (5,6). t. s. (0,5). (0,6). 3. 5. (0,7).

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391 views • 26 slides

CSE 421 Algorithms

170 views • 17 slides

Operations Research

430 views • 16 slides

Mobile Ad Hoc Networks Network Coding and Xors in the Air 7th Week 06.06.-09.06.2007

Mobile Ad Hoc Networks Network Coding and Xors in the Air 7th Week 06.06.-09.06.2007. Christian Schindelhauer. Network Coding. R. Ahlswede, N. Cai, S.-Y. R. Li, and R. W. Yeung, "Network Information Flow", (IEEE Transactions on Information Theory , IT-46, pp. 1204-1216, 2000) Example:

307 views • 15 slides

CSE 202 - Algorithms

Max Flow Problems. CSE 202 - Algorithms. Max Flow problem. Input: a directed graph with a non-negative weight ( capacity ) on each edge, and a designated source node s and sink node t.

241 views • 12 slides

CAST

CAST. Interdisciplinary Activities using Computational Science. The Flow Problem. Separatory funnel 30 ml graduated burette Graduated flask Rings, clamps and valves. Flow Applications. A lake or pond, fed by one river or stream, and drained by another

261 views • 9 slides

1. Introduction

4. Conclusion As shown here, tortuosity can be obtained mathematically, as a function of the medium porosity by calculating the average of all pathlines of the corresponding flow problem, and that it follows the experimental relation given by Comiti & Renaud: .

156 views • 1 slides