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
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
|
// ************************************************************************************************
//
// BornAgain: simulate and fit reflection and scattering
//
//! @file Tests/Functional/Mumufit/PlanCases.cpp
//! @brief Defines collection of FunctionTestPlan classes.
//!
//! @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 "Tests/Functional/Mumufit/PlanCases.h"
#include "Tests/Functional/Mumufit/ClassicalTestFunctions.h"
namespace {
const double loose_tolerance = 0.1;
} // namespace
using namespace mumufit;
//! Plan to minimize a Rosenbrock function.
//! start point: F(-1.2,1.0) = 24.20
//! minimum : F(1.0,1.0) = 0.
RosenbrockPlan::RosenbrockPlan()
: ScalarTestPlan("RosenbrockPlan", TestFunctions::RosenBrock, 0.0)
{
addParameter(Parameter("par0", -1.2, AttLimits::limited(-5.0, 5.0), 0.01), 1.0);
addParameter(Parameter("par1", 1.0, AttLimits::limited(-5.0, 5.0), 0.01), 1.0);
}
EasyRosenbrockPlan::EasyRosenbrockPlan()
: ScalarTestPlan("EasyRosenbrockPlan", TestFunctions::RosenBrock, 0.0, loose_tolerance)
{
// narrow parameter limits and big tolerance for stochastic minimizers
const double tolerance = 0.1;
addParameter(Parameter("par0", 1.1, AttLimits::limited(0.8, 1.2), 0.01), 1.0, tolerance);
addParameter(Parameter("par1", 1.1, AttLimits::limited(0.8, 1.2), 0.01), 1.0, tolerance);
}
//! Plan for WoodFour function
//! start point: F(-3,-1,-3,-1) = 19192
//! minimum : F(1,1,1,1) = 0.
WoodFourPlan::WoodFourPlan()
: ScalarTestPlan("WoodFourPlan", TestFunctions::WoodFour, 0.0)
{
addParameter(Parameter("par0", -3.0, AttLimits::limited(-5.0, 5.0)), 1.0);
addParameter(Parameter("par1", -1.0, AttLimits::limited(-5.0, 5.0)), 1.0);
addParameter(Parameter("par2", -3.0, AttLimits::limited(-5.0, 5.0)), 1.0);
addParameter(Parameter("par3", -1.0, AttLimits::limited(-5.0, 5.0)), 1.0);
}
EasyWoodFourPlan::EasyWoodFourPlan()
: ScalarTestPlan("EasyWoodFourPlan", TestFunctions::WoodFour, 0.0, loose_tolerance)
{
// narrow parameter limits and big tolerance for stochastic minimizers
const double tolerance = 0.1;
addParameter(Parameter("par0", 1.1, AttLimits::limited(0.8, 1.2)), 1.0, tolerance);
addParameter(Parameter("par1", 1.1, AttLimits::limited(0.8, 1.2)), 1.0, tolerance);
addParameter(Parameter("par2", 1.1, AttLimits::limited(0.8, 1.2)), 1.0, tolerance);
addParameter(Parameter("par3", 1.1, AttLimits::limited(0.8, 1.2)), 1.0, tolerance);
}
DecayingSinPlan::DecayingSinPlan()
: ResidualTestPlan("DecayingSinPlan", TestFunctions::DecayingSin)
{
addParameter(Parameter("amp", 1.0, AttLimits::nonnegative()), 10.0);
addParameter(Parameter("frequency", 1.0, AttLimits::nonnegative()), 4.0);
addParameter(Parameter("phase", 0.1, AttLimits::limited(0.0, 3.1)), 1.0);
addParameter(Parameter("decay", 0.1, AttLimits::nonnegative()), 0.05);
finalizeParameters();
}
DecayingSinPlanV2::DecayingSinPlanV2()
: ResidualTestPlan("DecayingSinPlanV2", TestFunctions::DecayingSin)
{
addParameter(Parameter("amp", 1.0, AttLimits::limitless()), 2.0);
addParameter(Parameter("frequency", 1.0, AttLimits::limitless()), 2.0);
addParameter(Parameter("phase", 1.0, AttLimits::fixed()), 1.0);
addParameter(Parameter("decay", 0.05, AttLimits::fixed()), 0.05);
finalizeParameters();
}
|
