Basic scripting exercises of Matlab or Otcave
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Updated
Aug 16, 2021 - MATLAB
Basic scripting exercises of Matlab or Otcave
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Octave Software Basics
In this project, I implemented few .m functions which allow to reorder a sparse matrix read from a Matrix Market file using the Reverse Cuthill-McKee algorithm. In addition to reordering, it is possible to write the reordered sparse matrix to a Matrix Market file, plot it side-by-side with the original, compute few statistics about it and output…
The New Morris Method was proposed by Campolongo and Braddock [Reliab. Engng Syst. Saf. 64 (1999) 1] as an extension of the Morris Method [Technometrics 33 (1991) 161] to include estimation of two-factor interaction effects.
Using matlab and octave for machine learning and numerical computing
Based on Octave functions, this program is a simulator that uses dynamic memory allocation in order to perform numerical calculations. The purpose of this program is to represent in memory a matrices array, which will be created, modified and deleted, based on the given commands.
A collection of MATLAB scripts put on Jupyter notebooks using Octave, Gnuplot and SymPy. https://nbviewer.jupyter.org/github/Da3dalu2/numerical-methods/tree/master/
Simple method to compute rotation matrix set average
Machine Learning Algorithms in Octave/MATLAB
Some examples in matlab about plotting data and preprocessing images.
Repository of GNU Octave helper functions often used by PR-DC.
A Octave function to send a notification to iPhone and Android via PushBullet API
Optimal motion profile derivation and generation
GNU Octave Airfoil coordinates import function.
Plots a confusion matrix (classification) on MATLAB/Octave
GNU Octave function for pretty table print with optional TeX output.
Generates 2D data clusters
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