Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Analysis of Two-variable Recurrence Relations with Application to Parameterized Approximations

IEEE via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the analysis of two-variable recurrence relations and their application to parameterized approximations in this 19-minute IEEE conference talk. Delve into topics such as Vertex Cover (VC), parameterized approximation algorithms, and success probability calculations. Learn about generalizing recurrences and understand the main theorem through examples. Gain insights from authors Ariel Kulik and Hadas Shachnai from Technion as they present their research on this complex subject in computer science and algorithmic analysis.

Syllabus

Intro
Talk Overview
Vertex Cover (VC)
Vertex Cover (Cont'd)
Parameterized Approximation
A Parameterized Algorithm
Success Probability (cont'd)
Related Work - Recurrences
Generalizing the Reccurence
Recurrence Relations
Main Theorem - Example

Taught by

IEEE FOCS: Foundations of Computer Science

Reviews

Start your review of Analysis of Two-variable Recurrence Relations with Application to Parameterized Approximations

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.