Package edu.cnu.mdi.splot.fit
package edu.cnu.mdi.splot.fit
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ClassDescriptionBase class for least-squares fitters built on Apache Commons Math 3.x
fitting.leastsquares.Natural cubic spline interpolator over tabulated data(x[i], y[i]).Specifies how a curve should be drawn for a data set.Nonlinear least-squares fitter for scaled/shiftederforerfc:Bounds container for erfc parameters.Nonlinear least-squares fitter for scaled/shifted erf:Bounds container for erf parameters.Simple functional interface for objects that can return a scalar value as a function of one variable.Nonlinear least-squares fitter for exponential decay with a constant offset:Generic result for a (weighted) least-squares fit.Nonlinear least-squares fitter for a 4-parameter Gaussian with baseline:Simple bounds container for the Gaussian parameters.Fluent builder for bounds.Supplies human-readable model and parameter labels for fit results.Provides an initial parameter guess for a curve fitter.Utility for computing a weighted linear least-squares parameter guess: min sum_i w_i (A_i p - y_i)^2 by solving (sqrt(W)A)p = sqrt(W)y via QR.Nonlinear least-squares fitter for a Lorentzian (Cauchy / Breit-Wigner) peak with a constant baseline:Fit a sum of Gaussians (optionally with a constant baseline).Bounds for the full parameter vector.Polynomial least-squares fitter using Apache Commons Math 3.x least-squares API.Coefficient bounds for c0..cN.Builder for per-coefficient bounds.Nonlinear least-squares fitter for a power law with a constant offset:Utility methods for samplingEvaluatorfunctions for plotting or further analysis.