There is one z and some number of x(a)s
You may be right in that I am using the wrong thing, that i need to use
UnivariateRealSolver
(that I need to use
> mickeydog@TaosNet.com a écrit :
>> I have an equation like so:
>> z = Sum of a = 1 to n [ e**(y  x(a))/ e**(x(a)]
>> I want to solve for y.
>> I have z and x(a).
>>
>> I have created a class EquationSolver which has these methods and inner
>> class:
>>
>> private EstimatedParameter xa;
>>
>> public VintageQualityFitter() {
>>
>> xa = new EstimatedParameter("xa", 0.0);
>
> If you want to solve for y and know all x(a), your parameter should be y.
>
>>
>> // provide the parameters to the base class which
>> // implements the getAllParameters and getUnboundParameters methods
>> addParameter(xa);
>> }
>>
>> public double theoreticalValue(double z) {
>> double summand = ( Math.exp(y * xa.getEstimate()) /
>> Math.exp(xa.getEstimate());
>> return summand;
>> }
>
> the name "z" is confusing there, I don't understand if you have several
> x(a) and only one value z which is a sum (as seemed to be implied by the
> start of your message) or if you have one z for each x(a) as seemed to
> be implied by the previous method.
>
> If you have only one z, then the estimation algorithm is not what you
> need. You need either to rewrite your equation to solve it (has Ted
> proposed) or you need to use a UnivariateRealSolver from package
> analysis, and use a simple loop to compute your function for the set of
> x(a) you know.
>
>>
>> public void addPoint(double xa) {
>> addMeasurement(new LocalMeasurement(xa, 1.0)); // all weights same
>> }
>>
>> public double getXa() {
>> return xa.getEstimate();
>> }
>>
>> private class LocalMeasurement extends WeightedMeasurement {
>>
>> private final double z;
>>
>> // constructor
>> public LocalMeasurement(double xa, double weight) {
>
> This xa seems strange to me, isn't it rather a "z", or is it linked to
> a "z" ?
>
> Luc
>
>> super(xa, weight);
>> this.z = xa;
>> }
>>
>> public double getTheoreticalValue() {
>> // the value is provided by the model for the local xa
>> return theoreticalValue(z);
>> }
>>
>> // don't need this i think
>> public double getPartial(EstimatedParameter parameter) {
>> return 0.0;
>> }
>> }
>>
>> I use this like so:
>>
>> EquationFitter equationFitter = new EquationFitter();
>>
>> for (int a = 0; a <= numberOfAs; a++) {
>> double xa = <get x(a)>
>> equationFitter.addPoint(xa.doubleValue());
>> }
>>
>> try {
>> // solve the problem, using a LevenbergMarquardt algorithm with
>> default settings
>> LevenbergMarquardtEstimator estimator = new
>> LevenbergMarquardtEstimator();
>> estimator.estimate(equationFitter);
>> } catch (EstimationException e) {
>> e.printStackTrace();
>> }
>>
>> // fitter.theoreticalValue() is alpha
>> <get some z>
>> y = equationFitter.theoreticalValue(z);
>>
>> but something in all this isn't right, especially with
>> theoreticalValue(),
>> i think.
>> Can anyone help?
>>
>>
>> 
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>>
>
>
>
> 
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