QSS: A Solver for Large Sparse Stiff Discontinuous Systems
Offered By: The Julia Programming Language via YouTube
Course Description
Overview
Explore a conference talk on QSS (Quantized State System), a solver designed for large sparse stiff discontinuous systems. Delve into the fundamental differences between classic methods and QSS algorithms, focusing on the concept of quantum Δ and its role in determining step sizes. Learn how QSS algorithms can outperform classic solvers in specific systems, such as switched power converter circuits. Discover the implementation of explicit and implicit QSS algorithms of orders 1, 2, and 3 in Julia, including the package structure, optimization techniques, and integration with other Julia packages. Examine the general form of the QSS algorithm and its potential incorporation into the DifferentialEquations.jl ecosystem. Gain insights into the package's testing phase and its successful application to various ODE systems and well-known problems.
Syllabus
QSS: a solver for a large sparse stiff discontinuous system | elbellili | JuliaCon 2024
Taught by
The Julia Programming Language
Related Courses
Calculus: Single VariableUniversity of Pennsylvania via Coursera Calculus Two: Sequences and Series
Ohio State University via Coursera Calculus 1C: Coordinate Systems & Infinite Series
Massachusetts Institute of Technology via edX 微积分二: 数列与级数 (中文版)
Ohio State University via Coursera Calculus: Single Variable Part 1 - Functions
University of Pennsylvania via Coursera