How to use the ones function from mathjs

solver.js

GitHub: truncatedAvocados/thesis-server

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  return math.multiply(G, D);
};

const solver = (M, d, error) => {
  const N = M.size()[1];
  const ones = math.ones(1, N, 'sparse');

  // Vector of ranks for the ith node, scaled between [0, 1]
  let v = math.ones(N, 1);

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+ 3 other calls in file

index.js

GitHub: oflisback/markov-clustering

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var _exports = module.exports = {};
var math = require('mathjs');

_exports.colSum = function colSum(A) {
  var ones = math.ones(A.size()[0]);
  return math.multiply(math.transpose(A), ones);
};

_exports.repmat = function repmat(row, n) {

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index.js

GitHub: oflisback/markov-clustering

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Five_Var_Stats.js

GitHub: ApolloSolo/linear-regression

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}

regression() {
  this.X = math.matrix([
    this.pre_matrix[0],
    math.ones(this.pre_matrix[0].length)._data,
  ]);

  this.Y = math.matrix([this.pre_matrix[1]]);

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+ 3 other calls in file

pageRank.js

GitHub: Philip-ZENG/course-content-search-engine

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// compute the PageRank vector iteratively
async function get_PageRank_Vector(GoogleMatrix, epsilon){
  // initialize the PageRank vector
  const dimensions = GoogleMatrix._size;
  const numTags = dimensions[0];
  var PageRankVector = mathjs.ones(numTags);
  // Initialize the PageRank vector to be a vector of 1/numTags
  PageRankVector = mathjs.multiply(PageRankVector, 1/numTags);
  // initialize the previous PageRank vector
  var previousPageRankVector = mathjs.zeros(numTags);

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+ 3 other calls in file

LM.js

GitHub: mljs/optimization

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        nu=2;
}
//console.log(X2);
X2_old = X2; // previous value of X2
//console.log(MaxIter+" "+Npar);
var cvg_hst = math.ones(MaxIter,Npar+3);		// initialize convergence history
var h = null;
while ( !stop && iteration <= MaxIter ) {		// --- Main Loop
    iteration = iteration + 1;
    // incremental change in parameters

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+ 2 other calls in file