jiangchengfeiyi-xiaochengxu/node_modules/mathjs/lib/cjs/function/algebra/sylvester.js
2025-01-02 11:13:50 +08:00

124 lines
4.2 KiB
JavaScript

"use strict";
Object.defineProperty(exports, "__esModule", {
value: true
});
exports.createSylvester = void 0;
var _factory = require("../../utils/factory.js");
const name = 'sylvester';
const dependencies = ['typed', 'schur', 'matrixFromColumns', 'matrix', 'multiply', 'range', 'concat', 'transpose', 'index', 'subset', 'add', 'subtract', 'identity', 'lusolve', 'abs'];
const createSylvester = exports.createSylvester = /* #__PURE__ */(0, _factory.factory)(name, dependencies, _ref => {
let {
typed,
schur,
matrixFromColumns,
matrix,
multiply,
range,
concat,
transpose,
index,
subset,
add,
subtract,
identity,
lusolve,
abs
} = _ref;
/**
*
* Solves the real-valued Sylvester equation AX+XB=C for X, where A, B and C are
* matrices of appropriate dimensions, being A and B squared. Notice that other
* equivalent definitions for the Sylvester equation exist and this function
* assumes the one presented in the original publication of the the Bartels-
* Stewart algorithm, which is implemented by this function.
* https://en.wikipedia.org/wiki/Sylvester_equation
*
* Syntax:
*
* math.sylvester(A, B, C)
*
* Examples:
*
* const A = [[-1, -2], [1, 1]]
* const B = [[2, -1], [1, -2]]
* const C = [[-3, 2], [3, 0]]
* math.sylvester(A, B, C) // returns DenseMatrix [[-0.25, 0.25], [1.5, -1.25]]
*
* See also:
*
* schur, lyap
*
* @param {Matrix | Array} A Matrix A
* @param {Matrix | Array} B Matrix B
* @param {Matrix | Array} C Matrix C
* @return {Matrix | Array} Matrix X, solving the Sylvester equation
*/
return typed(name, {
'Matrix, Matrix, Matrix': _sylvester,
'Array, Matrix, Matrix': function (A, B, C) {
return _sylvester(matrix(A), B, C);
},
'Array, Array, Matrix': function (A, B, C) {
return _sylvester(matrix(A), matrix(B), C);
},
'Array, Matrix, Array': function (A, B, C) {
return _sylvester(matrix(A), B, matrix(C));
},
'Matrix, Array, Matrix': function (A, B, C) {
return _sylvester(A, matrix(B), C);
},
'Matrix, Array, Array': function (A, B, C) {
return _sylvester(A, matrix(B), matrix(C));
},
'Matrix, Matrix, Array': function (A, B, C) {
return _sylvester(A, B, matrix(C));
},
'Array, Array, Array': function (A, B, C) {
return _sylvester(matrix(A), matrix(B), matrix(C)).toArray();
}
});
function _sylvester(A, B, C) {
const n = B.size()[0];
const m = A.size()[0];
const sA = schur(A);
const F = sA.T;
const U = sA.U;
const sB = schur(multiply(-1, B));
const G = sB.T;
const V = sB.U;
const D = multiply(multiply(transpose(U), C), V);
const all = range(0, m);
const y = [];
const hc = (a, b) => concat(a, b, 1);
const vc = (a, b) => concat(a, b, 0);
for (let k = 0; k < n; k++) {
if (k < n - 1 && abs(subset(G, index(k + 1, k))) > 1e-5) {
let RHS = vc(subset(D, index(all, k)), subset(D, index(all, k + 1)));
for (let j = 0; j < k; j++) {
RHS = add(RHS, vc(multiply(y[j], subset(G, index(j, k))), multiply(y[j], subset(G, index(j, k + 1)))));
}
const gkk = multiply(identity(m), multiply(-1, subset(G, index(k, k))));
const gmk = multiply(identity(m), multiply(-1, subset(G, index(k + 1, k))));
const gkm = multiply(identity(m), multiply(-1, subset(G, index(k, k + 1))));
const gmm = multiply(identity(m), multiply(-1, subset(G, index(k + 1, k + 1))));
const LHS = vc(hc(add(F, gkk), gmk), hc(gkm, add(F, gmm)));
const yAux = lusolve(LHS, RHS);
y[k] = yAux.subset(index(range(0, m), 0));
y[k + 1] = yAux.subset(index(range(m, 2 * m), 0));
k++;
} else {
let RHS = subset(D, index(all, k));
for (let j = 0; j < k; j++) {
RHS = add(RHS, multiply(y[j], subset(G, index(j, k))));
}
const gkk = subset(G, index(k, k));
const LHS = subtract(F, multiply(gkk, identity(m)));
y[k] = lusolve(LHS, RHS);
}
}
const Y = matrix(matrixFromColumns(...y));
const X = multiply(U, multiply(Y, transpose(V)));
return X;
}
});