How to use the inv function from mathjs
Find comprehensive JavaScript mathjs.inv code examples handpicked from public code repositorys.
mathjs.inv calculates the inverse of a matrix.
GitHub: stur86/crystcif-parse
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} } } if (cell && !(this._cell.includes(null))) this._inv_cell = mjs.inv(this._cell); // Check that the positions are the right size var check_pos = (positions.length == this._N); for (var i = 0; i < positions.length; ++i) {
GitHub: adamisntdead/qics
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if ((math.size(givenMatrix))[0] !== (math.size(givenMatrix))[1]) { return false; } const conjugateTranspose = math.transpose(math.conj(givenMatrix)); const inverse = math.inv(givenMatrix); return math.deepEqual(inverse, conjugateTranspose); };
+ 5 other calls in file
How does mathjs.inv work?
The mathjs.inv function computes the inverse of a square matrix using Gaussian elimination with partial pivoting. It performs a sequence of operations on the input matrix in order to reduce it to the identity matrix (i.e., a matrix with ones on the diagonal and zeros elsewhere). The same sequence of operations is applied to the identity matrix in parallel to obtain the inverse. If the input matrix is not invertible, the function returns null.
GitHub: adamisntdead/qics
![adamisntdead profile picture](/adamisntdead.png?size=40)
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if (math.size(givenMatrix)[0] !== math.size(givenMatrix)[1]) { return false; } var conjugateTranspose = math.transpose(math.conj(givenMatrix)); var inverse = math.inv(givenMatrix); return math.deepEqual(inverse, conjugateTranspose); };
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[0, Math.cos(this.tc), -Math.sin(this.tc)], [0, Math.sin(this.tc), Math.cos(this.tc)]]); //Compute the aggregate transformation matrix this.matrix = m2.multiply(this.mc, m2.multiply(this.mb, this.ma)); this.invMatrix = m2.inv(this.matrix); //Convert a standard lat/lng pair to a transformed coordinate this.convert = function(lat, lng){
Ai Example
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const math = require("mathjs"); const matrix = [ [1, 2], [3, 4], ]; const inverseMatrix = math.inv(matrix); console.log(inverseMatrix); // Output: [ // [-2, 1], // [1.5, -0.5] // ]
In this example, we're using mathjs to calculate the inverse of a 2x2 matrix. We first define our matrix as a 2D array of numbers. We then use the mathjs.inv function to calculate the inverse of the matrix, and store the result in the inverseMatrix variable. Finally, we log the result to the console.
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} // Invert the matrix // Time inversion using mathjs let start = new Date().getTime(); let inverseMathjs = mathjs.inv(matrix); let end = new Date().getTime(); console.log(`Mathjs inversion took ${end - start} ms for a ${N}x${N} matrix`); // Time inversion using my simple code (seems to have same performance as mathjs)
+ 444 other calls in file
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// // Invert the matrix // // Time inversion using mathjs // let start = new Date().getTime(); // let inverseMathjs = mathjs.inv(matrix); // let end = new Date().getTime(); // console.log(`Mathjs inversion took ${end - start} ms for a ${N}x${N} matrix`); // // Time inversion using my simple code (seems to have same performance as mathjs)
+ 53 other calls in file
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]); this.Y = math.matrix([this.pre_matrix[1]]); this.B = math.multiply( math.inv(math.multiply(this.X, math.transpose(this.X))), math.multiply(this.X, math.transpose(this.Y)) ); this.slope = this.B.get([0, 0]);
+ 3 other calls in file
GitHub: dunghoi1803/web2
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const matrix_XtY = math.matrix(matrix2); const det = math.det(matrix_XtX); const inverse = (m) => { return math.inv(m); }; const matrix_XtX_inverse = inverse(matrix_XtX); const betaMu = math.multiply(matrix_XtX_inverse, matrix_XtY);
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A = math.mod(A, modn) let det = validateMatrix(A, modn) if (det == null) return null //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) })
+ 3 other calls in file
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return scores; } function opr(data) { return math.inv(makePairingMatrix(data)) * makeTeamScores(data); } data = [[92, 3595, 8336, 7023, 295, 189], [577, 1369, 5220, 8337, 213, 93],
mathjs.evaluate is the most popular function in mathjs (87200 examples)