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Multi-Pass Graph Streaming Lower Bounds for Cycle Counting, MAX-CUT, Matching Size, and Other Problems

Offered By: IEEE via YouTube

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Graph Theory Courses Data Structures Courses Computational Complexity Courses Space Complexity Courses

Course Description

Overview

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Explore a 21-minute IEEE conference talk on multi-pass graph streaming lower bounds for various problems including cycle counting, MAX-CUT, and matching size. Delve into the research presented by authors Sepehr Assadi, Gillat Kol, Raghuvansh Saxena, and Huacheng Yu from Rutgers University and Princeton University. Gain insights into their findings and methodologies as they address these complex graph theory challenges in the context of streaming algorithms. Learn about the implications of their work for understanding the limitations and potential optimizations in graph processing within constrained memory environments.

Syllabus

Multi-Pass Graph Streaming LBs for Cycle Counting, MAX-CUT, Matching Size, and Other Problems


Taught by

IEEE FOCS: Foundations of Computer Science

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