Published
Edited
Mar 28, 2022
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Chandrupatla’s root-finding methodSidi’s root-finding methodRegular numbersDruidJS workerNatural breaksDistance to a segmentRay out of a convex hullWord Tour: 40k words and their friendsHello, @thi.ng/grid-iteratorsHead/tail breaksPseudo-blue noise shaderHow fast does walk-on-spheres converge?AoC 12: shortest path under constraintsKDE estimationPlot: Correlation heatmapPoisson Finish 2Poisson disk sampling functionsWoS with transportSimple and surprising sortLocal medianTime series topological subsamplingUnion-FindLevel set experiment 1Mean value coordinatesPoisson potentialMiddle-squareWorld of squares (spherical)World of squaresLargest Inscribed SquareHello, PyWaveletsGeothmetic meandianHello, Reorder.jsGeometric MedianImage FFTTransport to a mapDisc TransportTP3: Power Diagram and Semi-Discrete Optimal TransportThe blue waveHello, genetic-jsSliced Optimal TransportDruidJSSelf-Organizing Maps meet DelaunayHello, polygon-clippingseedrandom, minimalWalk on Spheres 2Walk on SpheresHello, AutoencoderKaprekar’s numberVoronoiMap2DHello, ccwt.jsPolygon TriangulationQuantile.invert?Linear congruential generatorHue blurNeedle in a haystackMoving average blurApollo 11 implementation of trigonometric functions, by Margaret H. Hamilton (march 1969)2D curves intersectionThe 2D approximate Newton-Raphson methodInverting Lee’s Tetrahedral projectionLinde–Buzo–Gray stipplingMean shift clustering with kd-tree2D point distributionsShortest pathKahan SummationHello, delatin
Dijkstra’s algorithm in gpu.js
Lloyd’s relaxation on a graphManhattan DiameterManhattan VoronoiMobility landscapes — an introductionDijkstra’s shortest-path treeH3 odditiesProtein MatrixConvex Spectral WeightsSort stuff by similarityKrigingDelaunay.findTrianglen-dimensions binning?Travelling with a self-organizing mapUMAP-o-MaticMNIST & UMAP-jsHello UMAP-jsMean shift clusteringLevenshtein transitionRd quasi-random sequencesAutomated label placement (countries)Phyllotaxis explainedMotionrugsPlanar hull (Andrew’s monotone chain algorithm)South Africa’s medial axisTravelling salesperson approximation with t-SNEDistance to shoreWorkerngraph: pagerank, louvain…t-SNE VoronoiCloud ContoursCircular function drawingKruskal MazeMyceliumTravelling salesperson approximation on the globe, with t-SNEtsne.jstsne.js & worker
Also listed in…
GPU.js
Graphs
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GPU = require("gpu.js@2.15.2")
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gpu = new GPU.GPU({ mode: "gpu" })
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createCostsTexture = gpu
.createKernel(function(points) {
const a0 = points[2 * this.thread.x],
a1 = points[2 * this.thread.x + 1],
b0 = points[2 * this.thread.y],
b1 = points[2 * this.thread.y + 1];
const dist2 = (a0 - b0) * (a0 - b0) + (a1 - b1) * (a1 - b1);
if (dist2 < 20) return dist2;
return 1e6; // not to say Infinity
})
.setPipeline(true)
.setOutput([N, N])
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kernelSum = gpu
.createKernel(function(v) {
let sum = 0;
for (let j = 0; j < this.constants.N; j++) {
sum += v[0][j];
}
return sum;
})
.setConstants({ N })
.setPipeline(false)
.setOutput([1])
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kernel = () =>
gpu
.createKernel(function(v, costs) {
const i = this.thread.x,
line = this.thread.y;
/* let costs = v[0],
predecessors = v[1],
origins = v[2],
front = v[3]; */
let c0 = v[0][i],
predecessor = v[1][i],
origin = v[2][i];
for (let j = 0; j < this.constants.N; j++) {
if (v[3][j] > 0) {
if (v[0][j] < 1000) {
const c = v[0][j] + costs[i][j];
if (c < c0) {
c0 = c;
predecessor = j;
origin = v[2][j];
if (line == 3) return 1; // front
}
}
}
}
if (line == 0) return c0;
if (line == 1) return predecessor;
if (line == 2) return origin;
})
.setConstants({ N })
.setPipeline(true)
//.setImmutable(true)
.setOutput([N, 4])
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max_texture_size = {
const gl = DOM.canvas(1, 1).getContext("webgl");
return gl.getParameter(gl.MAX_TEXTURE_SIZE);
}
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n = 40 // Math.sqrt(max_texture_size) | 0
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N = n ** 2
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startNodes = [0, 1, 2]
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points = (replay,
Array.from(
{ length: N },
(_, i) => [Math.random() * n, Math.random() * n] || [i % n, (i - (i % n)) / n]
).flat())
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function* dijkstra(points) {
const time = performance.now();

const COSTS = createCostsTexture(points);
const t_costs = performance.now() - time;

let current = [
Float32Array.from({ length: N }, (_, i) =>
startNodes.includes(i) ? 0 : 1e9
), // initial costs
Int32Array.from({ length: N }).fill(-1), // initial predecessors
Int32Array.from({ length: N }, (_, i) => i), // initial origins
Int32Array.from({ length: N }, (_, i) => (startNodes.includes(i) ? 1 : 0)) // initial front
],
sum,
sum0 = kernelSum(current)[0];

// The easiest way to setup just two variable that you can alternate,
// is simply create two kernels, even if they are identical.
// They’ll keep their textures straight.
const kernel0 = kernel(),
kernel1 = kernel();

for (var i = 0; i < 100; i++) {
current = kernel1(kernel0(current, COSTS), COSTS);
// current = kernel1(kernel0(current, COSTS), COSTS);
sum = kernelSum(current)[0];
console.warn(i, performance.now() - time, sum);
if (sum >= sum0 - 0.0001) break;
sum0 = sum;
yield { value: current, t: performance.now() - time, t_costs, sum, i };
}

// COSTS.delete();
yield { value: current, t: performance.now() - time, t_costs, sum, i };
}
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R = (replay, dijkstra(points))
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result = {
const time = performance.now();
if (R.value.toArray) {
R.texture = R.value;
R.value = R.value.toArray();
}
R.t = performance.now() - time;
return R;
}
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color = ({
0: d3.scaleSequential(d3.interpolateBlues).domain([0, 50]),
1: d3.scaleSequential(d3.interpolateReds).domain([0, 50]),
2: d3.scaleSequential(d3.interpolateGreens).domain([0, 50])
})
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COSTS = createCostsTexture(points)
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d3 = require("d3@5")
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