| Class | Description |
|---|---|
| AnalysisOfVariance |
A class performing an analysis of variance
|
| AuxDer |
A class computing the derivative f'(x) of f(x) at x = X.
|
| AuxDri |
A class computing the Matrix A of derivatives needed int classes LsqNon and LsqMar
|
| AuxGrad |
A class computing the gradient vector of a function of n variables
|
| AuxHesse |
A class computing the Hessian matrix of second derivatives of a function of n variables
|
| AuxJInputGroup |
A class representing a JPanel with a border, a border title, and
a tooltip text, to which other elements can be added, one below the other.
|
| AuxJNumberInput |
A class representing a JPanel carrying a JLabel with Text (and tooltip text)
and a JTextField for numerical input, the validity of which is checked.
|
| AuxJRButtonGroup |
A class representing a JPanel carrying a vertical row of radio buttons with a border, a border title,
a tooltip text; all buttons are listened to by the same ActionListener.
|
| AuxZero |
A class with which a zero of a scalar monotonic function of a single variable is found
|
| DatanFrame |
A class providing a JFrame with input and output possibilities for Datan examples.
|
| DatanMatrix |
A class representing a matrix.
|
| DatanRandom |
A class providing methods for computing random numbers
|
| DatanUserFunction |
An abstract class which has to be extended by the user to yield a class computing a scalar function
|
| DatanVector |
A class representing a vector.
|
| FunctionOnLine |
A class computing the value of a function at a given point on straight line in n-dimensional space.
|
| Gamma |
A class providing methods for computing the Gamma function and related functions
|
| Histogram |
A class representing a histogram.
|
| LsqAsg |
A class determining the asymmetric errors
for a set of parameters determined by the least square method for the general case using class LsqGen.
|
| LsqAsm |
A class determining the asymmetric errors
for a set of parameters determined by the least square method using class LsqMar.
|
| LsqAsn |
A class determining the asymmetric errors
for a set of parameters determined by the least square method using class LsqNon.
|
| LsqGen |
A class performing the least-squares fit of a nonlinear function to a set of data,
using an iterative procedure with step-size reduction.
|
| LsqLin |
A class porforming the least-squares fit of a linear function to a set of data.
|
| LsqMar |
A class performing the least-squares fit of a nonlinear function
to a set of data,using Marquardt's method.
|
| LsqNon |
A class performing the least-squares fit of a nonlinear function to a set of data,
using an iterative procedure with step-size reduction.
|
| LsqPol |
A class porforming the least-squares fit of a polynomial to a set of data.
|
| MinAsy |
A class determining the asymmetric errors
for a set of parameters determined by minimization.
|
| MinCjg |
A class determining the minimum of a function in n-dimensional space by the method of conjugate directions.
|
| MinCombined |
A class determining the minimum of a function along a straight line in n-dimensional space
according to combination the method of the golden section and of quadratic interpolation
|
| MinCov |
A class determining the covariance matrix / confidence matrix
for a set of parameters determined by minimization.
|
| MinDir |
A class determining the minimum of a function along a straight line in n-dimensional space.
|
| MinEnclose |
A class trying to find an interval along a straight line in n-dimensional space which contains
the minimum on that line of a function in n-space.
|
| MinGold |
A class determining the minimum of a function along a straight line in n-dimensional space
according to the method of the golden section
|
| MinMar |
A class determining the minimum of a function in n-dimensional space by Marquardt's method of.
|
| MinParab |
A class determining the extremum of a parabola through three points (xa,ya), (xb,yb),(xb,yc).
|
| MinPow |
A class determining the minimum of a function in n-dimensional space by Powell's method of selected directions.
|
| MinQdr |
A class determining the minimum of a function in n-dimensional space by the method of of the quadratic form.
|
| MinSim |
A class determining the minimum of a function in n-dimensional space by the simplex method.
|
| Regression |
A class performing polynomial regression.
|
| Sample |
A class representing a sample.
|
| SmallSample |
A class providing methods to compute confidence limits for small samples
|
| StatFunct |
A class providing methods for computing statistical functions
|
| TimeSeries |
A class performing time series analysis
|