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cholesky

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Peli de Halleux 2018-01-08 23:15:43 -08:00
parent 358ef7e19f
commit 374fa36548
1 changed files with 34 additions and 4 deletions
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38
libs/matrix/matrix.ts
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@ -12,13 +12,13 @@ namespace matrix {
private _cols: number;
private _values: number[];
constructor(rows: number, cols: number, values: number[] = []) {
constructor(rows: number, cols: number, values: number[] = undefined) {
pre(rows > 0);
pre(cols > 0);
this._rows = rows;
this._cols = cols;
this._values = values || [];
const n = this._rows * this._cols;
this._values = values || [];
// fill gaps
while (this._values.length < n)
this._values.push(0);
@ -129,12 +129,42 @@ namespace matrix {
transpose(): Matrix {
const R = new Matrix(this._cols, this._rows);
const r: number[] = R._values;
for(let i = 0; i < this._rows; ++i) {
for(let j = 0; j < this._cols; ++j) {
for (let i = 0; i < this._rows; ++i) {
for (let j = 0; j < this._cols; ++j) {
r[i + j * this._rows] = this._values[i * this._cols + j];
}
}
return R;
}
/**
* Clones the matrix
*/
dup(): Matrix {
const r = new Matrix(this._rows, this._cols, this._values.slice(0));
return r;
}
/**
* Performs a Cholesky factorized for a symmetric and positive definite
*
*/
cholesky(): Matrix {
pre(this._rows == this._cols);
const l = this.dup();
const n = this._rows;
const L = l._values;
for (let j = 0; j < n; j++) {
const jj = L[j * n + j] = Math.sqrt(L[j * n + j]);
for (let i = j + 1; i < n; ++i)
L[i * n + j] /= jj;
for (let k = j + 1; k < n; k++)
for (let i = k; i < n; i++)
L[i * n + j] -= L[i * n + j] * L[k * n + j];
}
return l;
}
}
}