datan

## Class MinCov

- java.lang.Object
- - datan.MinCov

-     public final class MinCov
      extends java.lang.Object

  A class determining the covariance matrix / confidence matrix for a set of parameters determined by minimization.
  Author:
    Siegmund Brandt.

- - ### Constructor Summary

    Constructors
    Constructor and Description
    `MinCov(DatanVector x0, DatanUserFunction muf)`
    `MinCov(DatanVector x0, int[] list, DatanUserFunction muf)`

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `DatanMatrix` | `getCovarianceMatrix(double fact)`

    - ### Methods inherited from class java.lang.Object

      `clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

- - ### Constructor Detail

    - #### MinCov

          public MinCov(DatanVector x0,
                int[] list,
                DatanUserFunction muf)

      Parameters:
        `x0` - position of minimum.
        `list` - array containing the elements of a list specifying which of the n variables are fixed (list element = 0) and which are adjustable (list element = 1).
        `muf` - user function which must be an extension of the abstract class DatanUserFunction.

    - #### MinCov

          public MinCov(DatanVector x0,
                DatanUserFunction muf)

      Parameters:
        `x0` - position of minimum (all elements of list are set to 1).
        `muf` - user function which must be an extension of the abstract class DatanUserFunction.

  - ### Method Detail

    - #### getCovarianceMatrix

          public DatanMatrix getCovarianceMatrix(double fact)

      Parameters:
        `fact` - factor by which covariance matrix is multiplied to yield condidence matrix to a given confidence level.
      Returns:
        the covarariance matrix / confidence matrix.