Propagators Part 1
Offered By: GOTO Conferences via YouTube
Course Description
Overview
Explore the concept of propagators in this conference talk from YOW! 2016. Dive into algorithms that involve iterating information propagation to reach deterministic fixed points, including CRDTs, Datalog, SAT solving, functional reactive programming, and constraint programming. Learn about Sussman and Radul's propagator framework and Lindsey Kuper's lattice variables (LVars) approach. Discover how blending these frameworks can lead to sufficient conditions for propagators to terminate with consistent results. Gain insights into optimizing various domains by leveraging this common framework. Presented by Edward Kmett, Chair of the Haskell Core Libraries Committee, this talk offers a deep dive into advanced concepts in functional programming and algorithm design.
Syllabus
Propagators Part 1 • Edward Kmett • YOW! 2016
Taught by
GOTO Conferences
Related Courses
Discrete OptimizationUniversity of Melbourne via Coursera Modeling Discrete Optimization
University of Melbourne via Coursera 离散优化算法篇 Solving Algorithms for Discrete Optimization
The Chinese University of Hong Kong via Coursera Solving Algorithms for Discrete Optimization
University of Melbourne via Coursera Reverse Engineering 3201: Symbolic Analysis
OpenSecurityTraining2 via Independent