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Faster Energy Maximization for Faster Maximum Flow

Association for Computing Machinery (ACM) via YouTube

Overview

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Explore the latest advancements in maximum flow algorithms through this 21-minute conference talk presented at the Association for Computing Machinery (ACM). Delve into the intricacies of the Maximum Flow Problem, a fundamental concept in combinatorial optimization, and its applications in undirected flow problems. Examine the evolution of running times for undirected graphs and gain insights into the Madry 16 IPM Framework. Discover a novel approach to energy maximization and its impact on weight increases. Learn about techniques for solving energy maximization problems and weight reduction methods for handling unit Ip flows. Conclude with a discussion on future directions and open problems in this field, providing a comprehensive overview of cutting-edge research in network flow algorithms.

Syllabus

Intro
Talk Outline
The Maximum Flow Problem
Natural family of problems in Undirected Flow Problems combinatorial optimization
Running Times
Undirected Graphs
Strategy
Madry 16 IPM Framework
Following Minimizers of the Log Barrier
Congestion Prevents Progress
New Approach: Energy Maximization
Weight Increases via Energy Maximization
Solving Energy Maximization Problem
Weight Reductions for Handling Unit Ip Flows
Future Directions / Open Problems

Taught by

Association for Computing Machinery (ACM)

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