File: vtkGaussianRandomSequence.h

package info (click to toggle)
vtk 5.8.0-13
  • links: PTS, VCS
  • area: main
  • in suites: wheezy
  • size: 130,524 kB
  • sloc: cpp: 1,129,256; ansic: 708,203; tcl: 48,526; python: 20,875; xml: 6,779; yacc: 4,208; perl: 3,121; java: 2,788; lex: 931; sh: 660; asm: 471; makefile: 299
file content (49 lines) | stat: -rw-r--r-- 1,902 bytes parent folder | download | duplicates (4)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
/*=========================================================================

  Program:   Visualization Toolkit
  Module:    vtkGaussianRandomSequence.h

  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
  All rights reserved.
  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.

     This software is distributed WITHOUT ANY WARRANTY; without even
     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
     PURPOSE.  See the above copyright notice for more information.
=========================================================================*/
// .NAME vtkGaussianRandomSequence - Gaussian sequence of pseudo random numbers
// .SECTION Description
// vtkGaussianRandomSequence is a sequence of pseudo random numbers
// distributed according to the Gaussian/normal distribution (mean=0 and
// standard deviation=1)
//
// This is just an interface.

#ifndef __vtkGaussianRandomSequence_h
#define __vtkGaussianRandomSequence_h

#include "vtkRandomSequence.h"

class VTK_COMMON_EXPORT vtkGaussianRandomSequence : public vtkRandomSequence
{
public:
  vtkTypeMacro(vtkGaussianRandomSequence,vtkRandomSequence);
  void PrintSelf(ostream& os, vtkIndent indent);
  
  // Description:
  // Convenient method to return a value given the mean and standard deviation
  // of the Gaussian distribution from the the Gaussian distribution of mean=0
  // and standard deviation=1.0. There is an initial implementation that can
  // be overridden by a subclass.
  virtual double GetScaledValue(double mean,
                                double standardDeviation);
  
protected:
  vtkGaussianRandomSequence();
  virtual ~vtkGaussianRandomSequence();
private:
  vtkGaussianRandomSequence(const vtkGaussianRandomSequence&);  // Not implemented.
  void operator=(const vtkGaussianRandomSequence&);  // Not implemented.
};

#endif // #ifndef __vtkGaussianRandomSequence_h