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
Scientific ComputingUniversity of Washington via Coursera Differential Equations in Action
Udacity Initiation à la théorie des distributions
École Polytechnique via Coursera Everything is the Same: Modeling Engineered Systems
Northwestern University via Coursera Analyse numérique pour ingénieurs
École Polytechnique Fédérale de Lausanne via Coursera