How to use the dot function from mathjs
Find comprehensive JavaScript mathjs.dot code examples handpicked from public code repositorys.
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]; let p0 = [0, 0, 1]; let n = [0, 0, 1]; let k = math.dot(p0,n) / math.dot(v,n); let pt = v.map(x => x*k); //let pt = v;
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GitHub: kengz/Risk-game
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return m.sum(_.map(AMpart, fn.msr)); }, // same as above, but sum the partitions to get a single scalar for AM pressureDeg: function(AMpart, partdeg) { return m.dot(_.map(AMpart, fn.msr), partdeg); },
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GitHub: stur86/crystcif-parse
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for (var i = 0; i < 3; ++i) { var j = (i + 2) % 3; var k = (i + 1) % 3; var ll = lengths[j] * lengths[k]; if (ll > 1e-16) { var x = mjs.dot(cell[j], cell[k]) / ll; var angle = Math.acos(x); } else { var angle = Math.PI / 2.0; }
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GitHub: sofroniewn/ray-to-line
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if (a === 0 & b === 0){ // lines colinear var t0 = math.dot(r,q) var t1 = math.dot(r,s) + t0 if (t0 <=0 & t1 <=0){ // lines colinear and non intersecting return false } else if (t0 <=0 & t1 >0){
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const normal = multiply(1 / norm(invSlopeVec), invSlopeVec); const outVec = subtract( ray.direction, multiply(2 * dot(ray.direction, normal), normal) ); return outVec; }
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// Iterate until convergence or max iterations reached do{ iteration++; var Ap = math.multiply(A, p); var alpha = rsold / math.dot(p, Ap); x = math.add(x, math.multiply(alpha, p)); r = math.subtract(r, math.multiply(alpha, Ap)); var rsnew = math.dot(r, r); var er = math.sqrt(rsnew);
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let dvec = math.subtract(wall[3], wall[0]); let normal = math.cross(dvec, svec); normal = math.divide(normal, math.norm(normal)); let levToSpeaker = math.subtract(lvec, speaker); // calculating intersectionpoint of plane and speaker let lambda = math.dot(normal, levToSpeaker) / (normal[0] + normal[1] + normal[2]); return math.add(speaker, math.multiply(2*lambda, normal)); } function calculateIntersection(wall=[], microphone=[], ISS=[]) {
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console.log(embeddingText); 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)
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errorVector = math.squeeze(outputError); var error = 0.0; if (typeof errorVector === 'number') error = 0.5 * math.pow(errorVector, 2); else error = 0.5 * math.dot(errorVector, errorVector); return error; };
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GitHub: rbren/axon
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newDist = self.getDistance(self.transform(input)); } } Neuron.getDistance = function(v1, v2) { var dot = M.dot(v1, v2) var norm1 = M.norm(v1); var norm2 = M.norm(v2); if (norm1 === 0 || norm2 === 0) return 0; var sim = dot / (norm1 * norm2);
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mathjs.evaluate is the most popular function in mathjs (87200 examples)