lmfit.js

JavaScript/WebAssembly (emscripten) port of lmfit (lmcurve) library:

"a self-contained C library for Levenberg-Marquardt least-squares minimization and curve fitting" (https://jugit.fz-juelich.de/mlz/lmfit)

build & test

``
source {path to emsdk}/emsdk_env.sh
npm install
npm run dist
npm run test
`

usage

There is a browser (lm.js - WebWorker) and a node (lm.node.js + wasm file) version in the dist folder.
The browser version does not require a wasm file since it is all bundled.

Read about the available options at src/lm.js and https://jugit.fz-juelich.de/mlz/lmfit/-/blob/master/lib/lmstruct.h

$3

`js
import lm from 'lmfit.js';

const options = {
verbose: true
};

const data = {
guess: [99],
model: 'p[0] * Math.sqrt(x)',
x, y
};

const worker = lm();
worker.onmessage = (ev) => {
console.log(ev.data)
if (ev.data.initialized) {
worker.postMessage({ data, options })
}
};
`

$3

`js
const lmPromised = require('lmfit.js');

lmPromised.then(lm => {

const options = {
verbose: true
};

const data = {
guess: [1, 1, -1],
model: function (x, p) {
return p[0] Math.pow(x, p[1]) Math.exp(p[2] * x);
},
x, y
};

const ret = lm.fit(data, options);

});
``

missing features

- surface fitting as example for minimization with lmmin()
- nonlinear equations solving with lmmin()