/**
* Initiates the fit. N is the number of y-data points, K is the dimension of the fit function and
* M is the number of fit parameters. Call <code>this.fit()</code> to start the actual fitting.
*
* @param function The model function to be fitted. Must be able to take M input parameters.
* @param parameters The initial guess for the fit parameters, length M.
* @param yDataPoints The y-data points in an array.
* @param xDataPoints The x-data points for each y data point, double[y-index][x-index] Size must
* be <code>double[N][K]</code>, where N is the number of measurements and K is the dimension
* of the fit function.
* @param weights The weights, normally given as: <code>weights[i] = 1 / sigma_i^2</code>. If you
* have a bad data point, set its weight to zero. If the given array is null, a new array is
* created with all elements set to 1.
* @param alpha An LMAMatrix instance. Must be initiated to (M x M) size.
*/
public LMA(
LMAMultiDimFunction function,
double[] parameters,
double[] yDataPoints,
double[][] xDataPoints,
double[] weights,
LMAMatrix alpha) {
init(function, parameters, yDataPoints, xDataPoints, weights, alpha);
}
/**
* Initiates the fit. N is the number of y-data points, K is the dimension of the fit function and
* M is the number of fit parameters. Call <code>this.fit()</code> to start the actual fitting.
*
* @param function The model function to be fitted. Input parameter sizes K and M.
* @param parameters The initial guess for the fit parameters, length M.
* @param dataPoints The data points in two dimensional array where each array, dataPoints[i],
* contains one y-value followed by the corresponding x-array values. I.e., the arrays should
* look like this:
* <p>dataPoints[0] = y0 x00 x01 x02 ... x0[K-1]<br>
* dataPoints[1] = y1 x10 x11 x12 ... x1[K-1]<br>
* . ..<br>
* dataPoints[N] = yN xN0 xN1 xN2 ... x[N-1][K-1]
* <p>
* @param weights The weights, normally given * as: <code>weights[i] = 1 / sigma_i^2</code>. If
* you have a bad data point, set its weight to zero. If the given array is null, a new array
* is created with all elements set to 1.
* @param alpha An LMAMatrix instance. Must be initiated to (M x M) size.
*/
public LMA(
LMAMultiDimFunction function,
double[] parameters,
double[][] dataPoints,
double[] weights,
LMAMatrix alpha) {
SeparatedData s = ArrayConverter.separateMultiDimDataToXY(dataPoints);
this.yDataPoints = s.yDataPoints;
this.xDataPoints = s.xDataPoints;
init(function, parameters, yDataPoints, xDataPoints, weights, alpha);
}
