Solving Dynamical Systems in Javascript
So here is the second step, how to solve a tent map in javascript and plot it as it is getting iterated.
The map is defined as follows
xn+1=2 xn mod 1The xn are plotted with respect to the step numbers. Change the value given in the slider to provide the initial condition.
The javascript code is given below.
<script>
tentmap(0.45); // Running it to get the first graph
//Slider
var slider = document.getElementById("myRange");
var output = document.getElementById("demo");
output.innerHTML = slider.value;
slider.oninput = function() {
output.innerHTML = this.value/100;
tentmap(this.value/100);
}
//The functions
function tentmap(init)
{
var statei = init;
var xaxis = [0];
var yaxis = [statei];
var i ;
for (i = 0; i < 45; i++) {
xaxis.push(i);
statei = (2*statei)%1
yaxis.push(statei);
}
var trace1 = {
x: xaxis,
y: yaxis,
mode: 'lines', //use markers if you want just dots
type: 'scatter'
};
var data = [trace1];
Plotly.newPlot('myDiv', data);
}
</script>
The HTML is as follows.
<body>
<div id='myDiv'><!-- Plotly chart will be drawn inside this DIV --></div>
<div class="slidecontainer">
<input type="range" min="0" max="100" value="50" class="slider" id="myRange">
<p>Value: <span id="demo"></span></p>
</div>
</body>
Posts
-
Sets of Learning
-
Policy Gradient Algorithm
-
Visit to Weston Park Sheffield
-
Notes on Inverse transform sampling
-
Eigenvalues and poles
-
Back Prop Algorithm - What remains constant in derivatives
-
Wordpress to Jekyll Conversion
-
Phase functions
-
Solving Dynamical Systems in Javascript
-
Javascript on markdown file
-
Walking data
-
Walking, it is complicated
-
PRC
-
Isochrone
-
Walking, it's complicated
-
Newtons iteration as a map - Part 2
-
Newton's iteration as map - Part 1
-
ChooseRight
-
Mathematica for machine learning - Learning a map
-
Prediction and Detection, A Note
-
Why we walk ?
-
The equations that fall in love!
-
Oru cbi diarykkuripp(ഒരു സിബിഐ ഡയറിക്കുറിപ്പ്)
-
A way to detect your stress levels!!
-
In search of the cause in motor control
-
Compressive sensing - the most magical of signal processing.
-
Machine Learning using python in 5 lines
-
Can we measure blood pressure from radial artery pulse?
subscribe via RSS