SSJ
V. 2.6.2.

Package umontreal.iro.lecuyer.functionfit

This package provides basic facilities for curve fitting and interpolation with polynomials as, for example, least square fit and spline interpolation.

See:
          Description

Class Summary
BSpline Represents a B-spline with control points at (Xi, Yi).
LeastSquares This class implements different linear regression models, using the least squares method to estimate the regression coefficients.
PolInterp Represents a polynomial that interpolates through a set of points.
SmoothingCubicSpline Represents a cubic spline with nodes at (xi, yi) computed with the smoothing cubic spline algorithm of Schoenberg.
 

Package umontreal.iro.lecuyer.functionfit Description

This package provides basic facilities for curve fitting and interpolation with polynomials as, for example, least square fit and spline interpolation.


SSJ
V. 2.6.2.

To submit a bug or ask questions, send an e-mail to Pierre L'Ecuyer.