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Edited
Jun 15, 2023
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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, delatinDijkstra’s algorithm in gpu.jsLloyd’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 clusteringRd 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
Levenshtein transition
Also listed in…
Graphs
function* levenshtein(A, B) {
const a = A.length,
b = B.length,
M = Array.from({ length: b + 1 }).map(() =>
Array.from({ length: a + 1 }).map(() => "?")
),
path = Array.from({ length: b + 1 }).map(() =>
Array.from({ length: a + 1 }).map(() => "?")
);
for (let i = 0; i < b + 1; i++) {
M[i][0] = i;
path[i][0] = [i - 1, 0];
}
for (let j = 1; j < a + 1; j++) {
M[0][j] = j;
path[0][j] = [0, j - 1];
}
path[0][0] = [0, 0];
yield { M, path };
for (let j = 1; j < a + 1; j++) {
for (let i = 1; i < b + 1; i++) {
// Same letter in both words?
const c = substitution_cost(B[i - 1], A[j - 1]),
costs = [
M[i - 1][j] + 1, // delete
M[i][j - 1] + 1, // insert
M[i - 1][j - 1] + c // substitute for a cost
],
m = Math.min(...costs);
let pred = [i - 1, j - 1];
if (m === costs[0]) pred = [i - 1, j];
else if (m === costs[1]) pred = [i, j - 1];
M[i][j] = m;
path[i][j] = pred;
yield { M, path };
}
}
}
function levenshtein_path(A, B) {
const transition = [],
L = [...levenshtein(A, B)].pop(),
M = L.M,
path = L.path;
let i = B.length,
j = A.length;
let w = B;
transition.push(w);
while (i > 0 || j > 0) {
[i, j] = path[i][j];
let w0 = B.substring(0, i) + A.substring(j);
if (w0 !== w) {
w = w0;
transition.push(w);
}
}
return transition.reverse();
}
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