How to use the norm function from mathjs
Find comprehensive JavaScript mathjs.norm code examples handpicked from public code repositorys.
GitHub: stur86/crystcif-parse
![stur86 profile picture](/stur86.png?size=40)
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* @param {Array} cell Cartesian form cell (must be 3x3) * @param {bool} radians If true, angles are returned in radians * @return {Array} Parameters in form [lengths, angles] */ function cellToCellpar(cell, radians) { var lengths = cell.map(function(c) { return mjs.norm(c); }); var angles = []; for (var i = 0; i < 3; ++i) { var j = (i + 2) % 3; var k = (i + 1) % 3;
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const xyzCam = math.matrix([urCorner, ulCorner, lrCorner, llCorner]); // Scale the model // --------------- const dif = math.subtract(urCorner, ulCorner); const dist = math.norm(dif); const maxSize = 100; // max size of the bigest side of the image let ratio = maxSize / dist; let scaledXYZ = math.multiply(xyzCam, ratio);
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let err = tol + 1; iteration.push([i,x[0],x[1],x[2]]); while(err > tol && i<iter){ let xi = mathjs.add(mathjs.multiply(T,x),C); err = mathjs.norm(mathjs.subtract(xi,x)); x = xi; i=i+1; iteration.push([i,x[0],x[1],x[2],err]); }
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err = tol + 1; z = [i,x[0],x[1],x[2],err]; while(err > tol && i<iter){ xi = mathjs.add(mathjs.multiply(T,x),C); console.log(xi); err = mathjs.norm(xi - x); x = xi; } i=i+1; z[i][0]=i;
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for (let i = 1; i < points.length - 1; i++) { const middle = points[i]; const prev = points[i - 1]; const next = points[i + 1]; const tangent = normalize(math.subtract(next, prev)); const dPrev = math.norm(math.subtract(middle, prev)); const dNext = math.norm(math.subtract(middle, next)); const cPrev = math.subtract(middle, math.multiply(tangent, dPrev / 3)); const cNext = math.add(middle, math.multiply(tangent, dNext / 3)); controlPoints.push([cPrev, cNext]);
+ 13 other calls in file
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// return angle; // } // Other way to check if the reflectionpoint is valid // function checkValidReflection(reflP=[], wall=[]) { // let area1 = 1/2 * math.norm(math.cross(math.subtract(wall[1], wall[0]), math.subtract(wall[3], wall[0]))); // let area2 = 1/2 * math.norm(math.cross(math.subtract(wall[1], wall[2]), math.subtract(wall[3], wall[2]))); // let area = area1 + area2; // // console.log(reflP)
+ 19 other calls in file
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const listSimilaties=[]; for (var i=0; i<listEmbeddings.length;i++) { let dotProduct = await math.dot(embeddingText, listEmbeddings[i].embedding); // let norm1 = math.norm(embeddingTet) // let norm2 = math.norm(listEmbeddings[i].embedding) // let similarity = dotProduct/(norm1*norm2) console.log(dotProduct) if(dotProduct>0.80){
+ 7 other calls in file
GitHub: mljs/optimization
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var n = math.subset(math.size(p0), math.index(0)); var maxj = 10; var big = 1e8; var h = 1; var P = math.zeros(maxj, n+1); // ojo con el tamaño var len = math.norm(p0); var y0 = f(p0); if(len > 1e4) h = math.divide(len, 1e4);
+ 9 other calls in file
GitHub: rbren/axon
![rbren profile picture](/rbren.png?size=40)
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} Neuron.prototype.sendUpdate = function() { var self = this; if (!self.io) return; var norm = M.norm(self.state.hidden); self.io.socket.emit('neuron', { id: self.id, transforms: self.getTransforms(), hidden: self.state.hidden._data,
+ 13 other calls in file
mathjs.evaluate is the most popular function in mathjs (87200 examples)