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https://github.com/josdejong/mathjs.git
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856b9489fa
* broadcasting * Simplified broadcasting * Updated for broadcasting * Changed to camel case * Camel case and auto formating * Added comments * Skip if matrices have the same size * Fixed issue with undefined variable missing dot in `A._size` * Implemented broadcasting in all functions * Added helper functions * Added function to check for broadcasting rules * Tests for broadcasted arithmetic * Fixed issue with matrix the size of a vector * Documented and updated broadcasting * Included broadcast.test * Included math to syntax when missing * Lorenz attractor --------- Co-authored-by: David Contreras <david.contreras@guentner.com> Co-authored-by: Jos de Jong <wjosdejong@gmail.com>
53 lines
1.3 KiB
HTML
53 lines
1.3 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<title>math.js | Lorenz Attractor</title>
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<script src="../../lib/browser/math.js"></script>
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<script src="https://cdn.plot.ly/plotly-2.25.2.min.js" charset="utf-8"></script>
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</head>
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<body>
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<div id="LorenzGraph"></div>
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</body>
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<script defer>
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// define the constants for the Lorenz attractor
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const sigma = 10
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const beta = 2.7
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const rho = 28
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// solve the Lorenz attractor
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const sol = math.solveODE(lorenz, [0, 100], [1, 1, 1])
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// make colors that represents time differences in the solution
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const diff = math.diff(sol.t)
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const color = [diff[0], ...diff]
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// render the plot using plotly
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Plotly.newPlot('LorenzGraph',
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[{
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x: sol.y.map(u => u[0]),
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y: sol.y.map(u => u[1]),
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z: sol.y.map(u => u[2]),
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line: { color, colorscale: 'Jet' },
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type: "scatter3d",
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mode: "lines"
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}],
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{ width: 800, height: 600 }
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)
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// define the lorenz attractor
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function lorenz(t, u) {
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const [x, y, z] = u
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return [
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sigma * (y - x),
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x * (rho - z) - y,
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x * y - beta * z
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]
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}
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</script>
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</html> |