@amcharts/amcharts4
Version:
amCharts 4
145 lines (125 loc) • 5.01 kB
JavaScript
import {dot, norm2, weightedSum} from "./blas1";
/** minimizes a function using the downhill simplex method */
export function nelderMead(f, x0, parameters) {
parameters = parameters || {};
var maxIterations = parameters.maxIterations || x0.length * 200,
nonZeroDelta = parameters.nonZeroDelta || 1.05,
zeroDelta = parameters.zeroDelta || 0.001,
minErrorDelta = parameters.minErrorDelta || 1e-6,
minTolerance = parameters.minErrorDelta || 1e-5,
rho = (parameters.rho !== undefined) ? parameters.rho : 1,
chi = (parameters.chi !== undefined) ? parameters.chi : 2,
psi = (parameters.psi !== undefined) ? parameters.psi : -0.5,
sigma = (parameters.sigma !== undefined) ? parameters.sigma : 0.5,
maxDiff;
// initialize simplex.
var N = x0.length,
simplex = new Array(N + 1);
simplex[0] = x0;
simplex[0].fx = f(x0);
simplex[0].id = 0;
for (var i = 0; i < N; ++i) {
var point = x0.slice();
point[i] = point[i] ? point[i] * nonZeroDelta : zeroDelta;
simplex[i+1] = point;
simplex[i+1].fx = f(point);
simplex[i+1].id = i+1;
}
function updateSimplex(value) {
for (var i = 0; i < value.length; i++) {
simplex[N][i] = value[i];
}
simplex[N].fx = value.fx;
}
var sortOrder = function(a, b) { return a.fx - b.fx; };
var centroid = x0.slice(),
reflected = x0.slice(),
contracted = x0.slice(),
expanded = x0.slice();
for (var iteration = 0; iteration < maxIterations; ++iteration) {
simplex.sort(sortOrder);
if (parameters.history) {
// copy the simplex (since later iterations will mutate) and
// sort it to have a consistent order between iterations
var sortedSimplex = simplex.map(function (x) {
var state = x.slice();
state.fx = x.fx;
state.id = x.id;
return state;
});
sortedSimplex.sort(function(a,b) { return a.id - b.id; });
parameters.history.push({x: simplex[0].slice(),
fx: simplex[0].fx,
simplex: sortedSimplex});
}
maxDiff = 0;
for (i = 0; i < N; ++i) {
maxDiff = Math.max(maxDiff, Math.abs(simplex[0][i] - simplex[1][i]));
}
if ((Math.abs(simplex[0].fx - simplex[N].fx) < minErrorDelta) &&
(maxDiff < minTolerance)) {
break;
}
// compute the centroid of all but the worst point in the simplex
for (i = 0; i < N; ++i) {
centroid[i] = 0;
for (var j = 0; j < N; ++j) {
centroid[i] += simplex[j][i];
}
centroid[i] /= N;
}
// reflect the worst point past the centroid and compute loss at reflected
// point
var worst = simplex[N];
weightedSum(reflected, 1+rho, centroid, -rho, worst);
reflected.fx = f(reflected);
// if the reflected point is the best seen, then possibly expand
if (reflected.fx < simplex[0].fx) {
weightedSum(expanded, 1+chi, centroid, -chi, worst);
expanded.fx = f(expanded);
if (expanded.fx < reflected.fx) {
updateSimplex(expanded);
} else {
updateSimplex(reflected);
}
}
// if the reflected point is worse than the second worst, we need to
// contract
else if (reflected.fx >= simplex[N-1].fx) {
var shouldReduce = false;
if (reflected.fx > worst.fx) {
// do an inside contraction
weightedSum(contracted, 1+psi, centroid, -psi, worst);
contracted.fx = f(contracted);
if (contracted.fx < worst.fx) {
updateSimplex(contracted);
} else {
shouldReduce = true;
}
} else {
// do an outside contraction
weightedSum(contracted, 1-psi * rho, centroid, psi*rho, worst);
contracted.fx = f(contracted);
if (contracted.fx < reflected.fx) {
updateSimplex(contracted);
} else {
shouldReduce = true;
}
}
if (shouldReduce) {
// if we don't contract here, we're done
if (sigma >= 1) break;
// do a reduction
for (i = 1; i < simplex.length; ++i) {
weightedSum(simplex[i], 1 - sigma, simplex[0], sigma, simplex[i]);
simplex[i].fx = f(simplex[i]);
}
}
} else {
updateSimplex(reflected);
}
}
simplex.sort(sortOrder);
return {fx : simplex[0].fx,
x : simplex[0]};
}