File: VarianceFunctions.cpp

package info (click to toggle)
bornagain 23.0-4
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid
  • size: 103,936 kB
  • sloc: cpp: 423,131; python: 40,997; javascript: 11,167; awk: 630; sh: 318; ruby: 173; xml: 130; makefile: 51; ansic: 24
file content (49 lines) | stat: -rw-r--r-- 1,660 bytes parent folder | download | duplicates (2)
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
//  ************************************************************************************************
//
//  BornAgain: simulate and fit reflection and scattering
//
//! @file      Sim/Residual/VarianceFunctions.cpp
//! @brief     Implements class IVarianceFunctiones.
//!
//! @homepage  http://www.bornagainproject.org
//! @license   GNU General Public License v3 or higher (see COPYING)
//! @copyright Forschungszentrum Jülich GmbH 2018
//! @authors   Scientific Computing Group at MLZ (see CITATION, AUTHORS)
//
//  ************************************************************************************************

#include "Sim/Residual/VarianceFunctions.h"
#include <algorithm>

//  ************************************************************************************************
//  class VarianceConstantFunction
//  ************************************************************************************************

VarianceConstantFunction* VarianceConstantFunction::clone() const
{
    return new VarianceConstantFunction();
}

double VarianceConstantFunction::variance(double, double) const
{
    return 1.0;
}

//  ************************************************************************************************
//  class VarianceSimFunction
//  ************************************************************************************************

VarianceSimFunction::VarianceSimFunction(double epsilon)
    : m_epsilon(epsilon)
{
}

VarianceSimFunction* VarianceSimFunction::clone() const
{
    return new VarianceSimFunction(m_epsilon);
}

double VarianceSimFunction::variance(double /*exp*/, double sim) const
{
    return std::max(sim, m_epsilon);
}