Skip to main content
Graph
Search
fr
|
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Runge-Kutta Methods: Overview
Graph Chatbot
Related lectures (30)
Previous
Page 3 of 3
Next
Explicit Stabilised Methods: Stochastic Differential Equations
Covers explicit stabilized methods for stiff stochastic differential equations, analyzing their properties and applications.
Numerical Root Finding with Scipy
Introduces numerical root finding, differentiation, integration, and ODE solving using Scipy.
Numerical Integration: Trapezoidal Rule
Covers numerical integration methods, focusing on the trapezoidal rule and iterative processes.
Inverse Monotonicity: Stability and Convergence
Explores inverse monotonicity in numerical methods for differential equations, emphasizing stability and convergence criteria.
Numerical Methods: Euler Schemes
Focuses on Euler schemes for numerical approximation of forces and velocities.
Inverse Power Method: Introduction to ODEs
Explores the inverse power method for ODEs and the significance of Lipschitz continuity.
Explicit Stabilised Methods: Applications to Bayesian Inverse Problems
Explores explicit stabilised Runge-Kutta methods and their application to Bayesian inverse problems, covering optimization, sampling, and numerical experiments.
Numerical Approximation of ODEs
Covers the numerical approximation of ODEs using finite difference methods.
Differential Equations: Speed Variation Analysis
Covers the analysis of speed variation using differential equations and small time intervals.
Differential Equations: Solution Methods
Explores the resolution of differential equations and the properties of exponential functions in electrical engineering.