//ml-levenberg-marquardt library to run in the browser.

​

//Here's the library's home: 

//https://github.com/mljs/levenberg-marquardt

​

//Here it is on npmjs: 

//https://www.npmjs.com/package/ml-levenberg-marquardt

​

/**** TEST CODE ****/

//The test code below is a simplified version of the test code provided

//in the library documentation.

​

// function that receives the parameters and returns

// a function with the independent variable as a parameter

function f([a]) {

  return (t) => a * t ** 2;

}

​

// array of points to fit

let data = {

  x: [-1, 0, 1],

  y: [3, 0, 3]

};

​

// array of initial parameter values

let initialParams = [1];

​

let options = {

  initialValues: initialParams,

};

​

let fittedParams = levenbergMarquardt(data, f, options);

​

//expected approximate value of fitted parameter is 3,

//since f(t) = 3t^2 would fit the data exactly.

console.log(fittedParams);

​