How to use the diag function from mathjs

jacobi.js

GitHub: DanielHernandezO/NumericalMethodsProject

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           text: 'The determinant is zero, the problem has no unique solution.'
       })
	return {logs, iterations: []};
}
let n = b.length;
let d = mathjs.diag(mathjs.diag(A));
let p = triu([...A]);
let o = tril([...A]);
let l = mathjs.subtract(d,o);
let u = mathjs.subtract(d,p);

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gaussseidel.js

GitHub: DanielHernandezO/NumericalMethodsProject

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if(determinante === 0){
	console.log('El determinante es cero, el problema no tiene solución única');
	return;
}
n = b.length;
d = mathjs.diag(mathjs.diag(A));
p = triu(A);
l = mathjs.subtract(A,tril(A));
u = mathjs.subtract(A,triu(A));
T = mathjs.multiply(mathjs.inv(mathjs.subtract(d,l)),u);

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calculate-initial-positions.js

GitHub: idyll-lang/fidyll-examples

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});
// console.log(squaredDistances);


// TODO - do we also need to sort the columns of the eigenvectors?
const { values: eigenvalues, vectors: eigenvectors } = eigs(matrix(squaredDistances));
const eigenvalsSorted = MATH.diag(MATH.sort(eigenvalues, 'desc'));
console.log(eigenvalues);


const N_DIMS = 2;
for (var _i = 0; _i < MATH.size(eigenvalues).subset(index(0)); _i++) {

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matrix.js

GitHub: vinodkumarCortracker/MathServerAPI-s

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router.post('/diag', (req, res) => {
    try {
        
        let matrx = req.body.matrix
        let result = diag(matrx)


        res.send({ result }) 
    } catch (err) {
        res.send(err.message)

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LM.js

GitHub: mljs/optimization

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while ( !stop && iteration <= MaxIter ) {		// --- Main Loop
    iteration = iteration + 1;
    // incremental change in parameters
    switch(Update_Type){
        case 1:					// Marquardt
            //h = ( JtWJ + lambda * math.diag(math.diag(JtWJ)) ) \ JtWdy;
            //h = math.multiply(math.inv(JtWdy),math.add(JtWJ,math.multiply(lambda,math.diag(math.diag(Npar)))));
            h = math.solve(math.add(JtWJ,math.multiply(lambda,math.diag(math.diag(JtWJ)))),JtWdy);
            break;
        default:					// Quadratic and Nielsen

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+ 2 other calls in file