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) |
Parametric function in 2D using Matlab/Octave
Source code name: "plot2d.m"
Programming language: Octave
Topic: Plots/2D
DMelt Version 1. Last modified: 07/23/2017. License: Free
https://datamelt.org/code/cache/plot2d_3510.m
To run this script using the DataMelt IDE,
copy the above URL link to the menu [File]→[Read script from URL] of the DMelt IDE.
t=0:0.1:4*pi;
x=sin(0.5*t+1);
y=cos(1.5*t);
plot(x,y)