Name: Emmanuel J Rodriguez
Type: User
Company: https://emmanueljrodriguez.com/
Bio: Professional: M.S. Mechanical Engineering - Computational Fluid Dynamics, Autonomy & Control, Experimental Methods |
Non-Professional: Private Pilot, ASEL
Twitter: mannyjrod
Location: Seattle, WA
Blog: https://www.linkedin.com/in/emmanueljrodriguez/
Emmanuel J Rodriguez's Projects
MATLAB code to create a 3D surface plot of heat conduction in a square plate, given initial conditions.
Matlab code to accompany "Aircraft Aerodynamic Design: Geometry and Optimization" by Sobester and Forrester (2015)
Python for Data Science @ National University
ArduPlane, ArduCopter, ArduRover source
The MATLAB code imports x-y coordinates of river bank and water level depth as a function of time, sampled every 10 minutes. The code calculates the cross-sectional area for each water level depth.
Curve fitting - 1st, 2nd order polynomial ; Linear and spline interpolations -- Sample problems
A Sandlot for my Dash apps
Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz http://www.databookuw.com/
Deep learning for timeseries
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
All things Design of Experiments; hypothesis testing, regression analysis, linear fit, full factorial design, fractional factorial design, and more...
Dynamic Visualization of Rolling Two Dice
Python Data. Leaflet.js Maps.
My first github repository
MATLAB code for a 3D surface plot of amplitude ratio of a steady-state vibration of a friction-free spring-mass-damper system
A general-purpose MATLAB program to find the free vibration response of a viscously damped system.
This test repo is being used to run through the workflow of using Git to add/commit/push files to my Github.
Ref: "The Book of Dash"
Read and write data an OPEN MS Excel file
Roll Die
A dynamic visualization of a moving sine wave
Solving parabolic partial differential equations using numerical methods.
Calculate the average and standard deviation of a given data set -- SIMPLE example.
test with MW