/* * * User level interface to the result of an optimization. * * @author Tony Johnson, Victor Serbo, Max Turri * */ package hep.aida.ext; public interface IOptimizerResult { public final static int UNDEFINED = 0, APPROXIMATE = 1, CONVERGED_NEG_MATRIX = 2, CONVERGED = 3, CONVERGED_SMALL_GRADIENT = 4, CONVERGED_SMALL_STEP_SIZE = 5, NOT_CONVERGED = 6, REACHED_MAX_ITER = 7, TOO_MANY_LARGE_STEPS = 8; /** * The constraints used in the optimization. * @return The domain of constraints. * */ public IDomainConstraint constraints(); /** * The optimizer's configuration. * @return The optimizer's configuration. * */ public IOptimizerConfiguration configuration(); public double[] parameters(); /** * The covariance matrix. * Still under discussion * */ public double[][] covarianceMatrix(); /** * The correlation matrix. * Still under discussion. * */ public double[][] correlationMatrix(); /** * Get the contour with respec to two variables. * @param nSigma The number of sigmas at which the contour should be calculated. * @param nPoints The maximum number of points on the contour (might be less). * @param var1 The first variable. * @param var2 The second variable. * @return The Object containing the contour (to be fixed). * */ public Object contour(int nSigma, int nPoints, IVariable var1, IVariable var2); /** * Scan the function with respect to two variables. * @param nPoints The number of points to be used in the scan. * @param var1 The first variable. * @param var2 The second variable. * @return The Object containing the scan (to be fixed). * */ public Object scan(int nPoints, IVariable var1, IVariable var2); /** * Scan the function with respect to a variable. * @param nPoints The number of points to be used in the scan. * @param var The variable. * @return The Object containing the scan (to be fixed). * */ public Object scan(int nPoints, IVariable var); /** * The status of the optimizer after the optimization procedure. * @return The status of the optimization. * */ public int optimizationStatus(); }