MnScan

java.lang.Object
- org.freehep.math.minuit.MnApplication
- - org.freehep.math.minuit.MnScan

```
public class MnScan
extends MnApplication
```
MnScan scans the value of the user function by varying one parameter. It is sometimes useful for debugging the user function or finding a reasonable starting point.

Constructor Summary

Constructors
Constructor and Description
`MnScan(FCNBase fcn, double[] par, double[] err)` construct from FCNBase + double[] for parameters and errors with default strategy
`MnScan(FCNBase fcn, double[] par, double[] err, int stra)` construct from FCNBase + double[] for parameters and errors
`MnScan(FCNBase fcn, double[] par, MnUserCovariance cov)` construct from FCNBase + double[] for parameters and MnUserCovariance with default strategy
`MnScan(FCNBase fcn, double[] par, MnUserCovariance cov, int stra)` construct from FCNBase + double[] for parameters and MnUserCovariance
`MnScan(FCNBase fcn, MnUserParameters par)` construct from FCNBase + MnUserParameters with default strategy
`MnScan(FCNBase fcn, MnUserParameters par, int stra)` construct from FCNBase + MnUserParameters
`MnScan(FCNBase fcn, MnUserParameters par, MnUserCovariance cov)` construct from FCNBase + MnUserParameters + MnUserCovariance with default strategy
`MnScan(FCNBase fcn, MnUserParameters par, MnUserCovariance cov, int stra)` construct from FCNBase + MnUserParameters + MnUserCovariance
`MnScan(FCNBase fcn, MnUserParameterState par, MnStrategy str)` construct from FCNBase + MnUserParameterState + MnStrategy

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`List<Point>`	`scan(int par)`
`List<Point>`	`scan(int par, int maxsteps)`
`List<Point>`	`scan(int par, int maxsteps, double low, double high)` Scans the value of the user function by varying parameter number par, leaving all other parameters fixed at the current value.

Methods inherited from class org.freehep.math.minuit.MnApplication
add, add, add, checkAnalyticalDerivatives, covariance, error, error, errorDef, errors, fcnbase, fix, fix, index, minimize, minimize, minimize, name, numOfCalls, parameters, params, precision, release, release, removeLimits, removeLimits, setCheckAnalyticalDerivatives, setError, setError, setErrorDef, setLimits, setLimits, setPrecision, setUseAnalyticalDerivatives, setValue, setValue, state, strategy, useAnalyticalDerivaties, value, value, variableParameters

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - MnScan
```
public MnScan(FCNBase fcn,
              double[] par,
              double[] err)
```
    construct from FCNBase + double[] for parameters and errors with default strategy
  - MnScan
```
public MnScan(FCNBase fcn,
              double[] par,
              double[] err,
              int stra)
```
    construct from FCNBase + double[] for parameters and errors
  - MnScan
```
public MnScan(FCNBase fcn,
              double[] par,
              MnUserCovariance cov)
```
    construct from FCNBase + double[] for parameters and MnUserCovariance with default strategy
  - MnScan
```
public MnScan(FCNBase fcn,
              double[] par,
              MnUserCovariance cov,
              int stra)
```
    construct from FCNBase + double[] for parameters and MnUserCovariance
  - MnScan
```
public MnScan(FCNBase fcn,
              MnUserParameters par)
```
    construct from FCNBase + MnUserParameters with default strategy
  - MnScan
```
public MnScan(FCNBase fcn,
              MnUserParameters par,
              int stra)
```
    construct from FCNBase + MnUserParameters
  - MnScan
```
public MnScan(FCNBase fcn,
              MnUserParameters par,
              MnUserCovariance cov)
```
    construct from FCNBase + MnUserParameters + MnUserCovariance with default strategy
  - MnScan
```
public MnScan(FCNBase fcn,
              MnUserParameters par,
              MnUserCovariance cov,
              int stra)
```
    construct from FCNBase + MnUserParameters + MnUserCovariance
  - MnScan
```
public MnScan(FCNBase fcn,
              MnUserParameterState par,
              MnStrategy str)
```
    construct from FCNBase + MnUserParameterState + MnStrategy
- Method Detail
  - scan
```
public List<Point> scan(int par)
```
  - scan
```
public List<Point> scan(int par,
                        int maxsteps)
```
  - scan
```
public List<Point> scan(int par,
                        int maxsteps,
                        double low,
                        double high)
```
    Scans the value of the user function by varying parameter number par, leaving all other parameters fixed at the current value. If par is not specified, all variable parameters are scanned in sequence. The number of points npoints in the scan is 40 by default, and cannot exceed 100. The range of the scan is by default 2 standard deviations on each side of the current best value, but can be specified as from low to high. After each scan, if a new minimum is found, the best parameter values are retained as start values for future scans or minimizations. The curve resulting from each scan can be plotted on the output terminal using MnPlot in order to show the approximate behaviour of the function.

Class MnScan

Constructor Summary

Method Summary

Methods inherited from class org.freehep.math.minuit.MnApplication

Methods inherited from class java.lang.Object

Constructor Detail

MnScan

MnScan

MnScan

MnScan

MnScan

MnScan

MnScan

MnScan

MnScan

Method Detail

scan

scan

scan