New Algorithms and Hardness for Incremental Single-Source Shortest Paths in Directed Graphs
Offered By: Association for Computing Machinery (ACM) via YouTube
Course Description
Overview
Explore cutting-edge algorithms and complexity analysis for incremental single-source shortest paths (SSSP) in directed graphs in this 23-minute conference talk presented at an Association for Computing Machinery (ACM) event. Delve into the problem definition, examine the ES Tree and Lazy ES Tree data structures, and gain insights into new algorithmic approaches. Understand the challenges and hardness associated with solving SSSP problems in dynamic directed graphs, and discover how these findings contribute to the field of graph algorithms and theoretical computer science.
Syllabus
Introduction
Problem Definition
ES Tree
Lazy ES Tree
Algorithm
Summary
Taught by
Association for Computing Machinery (ACM)
Related Courses
Intro to AlgorithmsUdacity Algorithmic Thinking (Part 1)
Rice University via Coursera Design and Analysis of Algorithms
Chennai Mathematical Institute via Swayam Capstone: Analyzing (Social) Network Data
University of California, San Diego via Coursera Algorithms on Graphs
University of California, San Diego via Coursera