Electrical Flows Primitive and Fast Graph Algorithms
summary
Argues that electrical flow computed via fast Laplacian solvers becomes a basic primitive that, when wrapped in a multiplicative weights iterative scheme, yields provable speedups: approximate s–t max flow and minimum cut in near-linear (m polylog n) time, and faster routines for multicommodity and related problems. Shows the actual reduction, the solver and update steps, and runtime bounds; demonstrates the framework composes to give concrete algorithmic improvements over classic augmenting-path methods.
AI-written summary · about
chapters (4)
- 0:00Start
- 17:48Path-following Interior-point method IPM
- 34:06Connection II: Random Spanning Trees
- 50:38Connection IV: Cover and Commute Times of Random Walks
related talks
07mVertex Connectivity in Poly-logarithmic Max-flows
17mSolving Max-Min Fair Resource Allocations Quickly on Large Graphs
53mOptimal Power Flow: Relaxation, Online Algorithm, Fast Dynamics
01h 05mGraph Algorithms in the MPC Model
30mThree Goals in Parallel Graph Computations: High Performance, High Productivity, and Reduced Comm...
52mFine-Grained Complexity and Algorithm Design for Graph Reachability and Distance Problems
16mMinFlow: High-performance and Cost-efficient Data Passing for I/O-intensive Stateful...
32mFrom Sparse Matrices to Graphs and Back Again
