YoVDO

Constraint Satisfaction Problems - Lecture 20b of CS Theory Toolkit

Offered By: Ryan O'Donnell via YouTube

Tags

Constraint Satisfaction Problems Courses Algorithms Courses Theoretical Computer Science Courses

Course Description

Overview

Explore Constraint Satisfaction Problems (CSPs) in this graduate-level lecture from Carnegie Mellon University's "CS Theory Toolkit" course. Delve into formal definitions, the Dichotomy Conjecture (now Theorem), and its significance in theoretical computer science. Learn about CSP examples, algorithms, and satisfiability. Gain insights from additional resources on CSP approximability and polymorphisms. Taught by Ryan O'Donnell, this 32-minute video offers a comprehensive look at fundamental concepts essential for research in theoretical computer science.

Syllabus

Introduction
Constraint Satisfaction Problems
Formal Definition
Examples
CSPs
Algorithms
Satisfiability


Taught by

Ryan O'Donnell

Related Courses

Automata Theory
Stanford University via edX
Intro to Theoretical Computer Science
Udacity
Computing: Art, Magic, Science
ETH Zurich via edX
理论计算机科学基础 | Introduction to Theoretical Computer Science
Peking University via edX
Quantitative Formal Modeling and Worst-Case Performance Analysis
EIT Digital via Coursera