YoVDO

Vectorized Integration and the Lorenz Equation

Offered By: Steve Brunton via YouTube

Tags

Chaos Theory Courses MATLAB Courses Gravity Courses Numerical Methods Courses Turbulence Courses

Course Description

Overview

Explore vectorized integration and the Lorenz equation in this 48-minute lecture from the Engineering Mathematics course at the University of Washington. Delve into topics such as function handles, chaos, exponential divergence, turbulence, gravity, and uncertainty in initial conditions. Learn about insect locomotion and Phil Holmes' work. Gain practical skills in MATLAB, including simulating the Lorenz system, creating mesh grids, visualizing data, and optimizing code through vectorized operations. Access accompanying MATLAB code for hands-on practice and visit the course website for additional resources.

Syllabus

Homework
Function handles
Chaos
Exponential divergence
Turbulence
Gravity
Uncertainty
Phil Holmes
Insect locomotion
Uncertainty in initial conditions
Sim Lorentz slow
Mesh grid
Visualizing data
Nested for loop
Running the code
Vectorized operations
Lorentz 3D
Next Lecture


Taught by

Steve Brunton

Related Courses

Scientific Computing
University of Washington via Coursera
Dynamical Modeling Methods for Systems Biology
Icahn School of Medicine at Mount Sinai via Coursera
Elements of Structures
Massachusetts Institute of Technology via edX
Analyse numérique pour ingénieurs
École Polytechnique Fédérale de Lausanne via Coursera
Dynamics
Massachusetts Institute of Technology via edX