YoVDO

QSS: A Solver for Large Sparse Stiff Discontinuous Systems

Offered By: The Julia Programming Language via YouTube

Tags

Differential Equations Courses Taylor Series Courses Numerical Methods Courses Ordinary Differential Equations Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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 Computing
University 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