How to use the dot function from mathjs

Find comprehensive JavaScript mathjs.dot code examples handpicked from public code repositorys.

14
15
16
17
18
19
20
21
22
];

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;
fork icon48
star icon115
watch icon18

+ 15 other calls in file

64
65
66
67
68
69
70
71
72
    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);
},


fork icon7
star icon16
watch icon0

+ 3 other calls in file

25
26
27
28
29
30
31
32
33
34
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;
    }
fork icon2
star icon6
watch icon3

16
17
18
19
20
21
22
23
24
25


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){
fork icon0
star icon1
watch icon1

+ 3 other calls in file

51
52
53
54
55
56
57
58
59

  const normal = multiply(1 / norm(invSlopeVec), invSlopeVec);

  const outVec = subtract(
    ray.direction,
    multiply(2 * dot(ray.direction, normal), normal)
  );
  return outVec;
}
fork icon1
star icon0
watch icon0

193
194
195
196
197
198
199
200
201
202

// 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);
fork icon0
star icon1
watch icon0

+ 2 other calls in file

72
73
74
75
76
77
78
79
80
81
82
    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=[]) {
fork icon0
star icon0
watch icon0

+ 31 other calls in file

123
124
125
126
127
128
129
130
131
132
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)
fork icon0
star icon0
watch icon0

+ 3 other calls in file

185
186
187
188
189
190
191
192
193
194
    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;
};

fork icon0
star icon0
watch icon0

124
125
126
127
128
129
130
131
132
133
    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);
fork icon0
star icon0
watch icon2