How to use the map function from mathjs

matrix-simplifier.js

GitHub: OscarStockill/cs-field-guide

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  // create a typed-function which check the input types
  replacements[name] = mathjs.typed(name, {
    'number': fnNumber,
    'Array | Matrix': function (x) {
      return mathjs.map(x, fnNumber);
    }
  });
});

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+ 3 other calls in file

HillFunctions.js

GitHub: JuanLara18/MadameX

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//compute adjoint matrix 
let inv = math.inv(A)
let adj = math.multiply(inv, det)
//round values to get ints
adj = math.map(adj, (value) => { return math.round(value) })

let invMod = math.multiply(adj, modInverse(det, modn));
// to get matrix with only positives 
invMod = math.map(invMod, (value) => { return ((value % modn) + modn) % modn })

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+ 7 other calls in file

hillCipher.js

GitHub: OrghoN/hillCipher

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function createEncodingKey(n, max) {
    var det = 0;
    var encodingKey
    while (det === 0) {
        encodingKey = math.random([n, n], 1, max);
        encodingKey = math.map(encodingKey, function(val) {
            return math.round(val);
        });
        det = math.det(encodingKey);
    }

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+ 5 other calls in file

tanh.js

GitHub: chunkitmax/backpropagation

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this.wi = newMatrix(this.nh, this.ni);
this.wo = newMatrix(this.no, this.nh);

// set them to random vaules
this.wi = math.map(this.wi, (val) => { return rand(-0.2, 0.2); });
this.wo = math.map(this.wo, (val) => { return rand(-2.0, 2.0); });

// last change in weights for momentum
this.ci = newMatrix(this.nh, this.ni);
this.co = newMatrix(this.no, this.nh);

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+ 5 other calls in file

logistic.js

GitHub: chunkitmax/backpropagation

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// input activations
this.ai.subset(math.index([1, this.ni - 1], 0), inputs);

// hidden activations
this.ah = math.map(math.multiply(this.wi, this.ai), sigmoid);

// output activations
this.ao = math.map(math.multiply(this.wo, this.ah), sigmoid);

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+ 5 other calls in file

LM.js

GitHub: mljs/optimization

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var h  = math.subtract(p, p_old);

//console.log("hhh "+h);
var h_t = math.transpose(h);
var hh = math.multiply(h_t,h);
var hhh = math.map(h_t,function(value){
    return value / hh;
});
//J = J + ( y - y_old - J*h )*h' / (h'*h);	// Broyden rank-1 update eq'n
J = math.add(J, math.multiply(math.subtract(y, math.add(y_old,math.multiply(J,h))),hhh));

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+ 5 other calls in file