blob: f74c99c679dc313c733711720b9a79fed24842d3 (
plain)
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
88
89
90
91
92
93
94
95
96
97
98
99
100
|
/*
* CholeskyDecomposition.cpp
*
* Created on: 20.05.2011
* Author: sven
*/
#ifndef PARAMETRISATION_H_
#include "Parametrisation.h"
#endif
#include <iostream>
#include <iomanip>
#include <cmath>
#include "CholeskyDecomposition.h"
CholeskyDecomposition::CholeskyDecomposition()
{
for (UInt32 c = nenDaimler; c < nenEndOfCompanies ; c++)
{
mCholeskyMatrixOneDay.push_back(std::vector<double>(nenEndOfCompanies));
mCholeskyMatrixTenDays.push_back(std::vector<double>(nenEndOfCompanies));
}
}
CholeskyDecomposition::~CholeskyDecomposition() {
}
void CholeskyDecomposition::dumpCholeskyMatrices()
{
std::cout << "Cholesky Matrix for one day" << std::endl;
int width = 12;
int prec = 6;
for(UInt32 i = 0; i < nenEndOfCompanies ; i++)
{
for (UInt32 j = 0; j < nenEndOfCompanies ; j++)
{
std::cout << std::setw(width) << std::setprecision(prec) << std::fixed << mCholeskyMatrixOneDay.at(i).at(j);
}
std::cout << std::endl;
}
std::cout << "Cholesky Matrix for ten days" << std::endl;
for(UInt32 i = 0; i < nenEndOfCompanies ; i++)
{
for (UInt32 j = 0; j < nenEndOfCompanies ; j++)
{
std::cout << std::setw(width) << std::setprecision(prec) << std::fixed << mCholeskyMatrixTenDays.at(i).at(j);
}
std::cout << std::endl;
}
}
void CholeskyDecomposition::calcCholeskyMatrix(CholeskyMatrix& d, const CovarianceMatrix& b)
{
double sum,dp,diff;
for(int i = 0; i < nenEndOfCompanies ; i++)
{
for (int j = 0; j < nenEndOfCompanies ; j++)
{
if ( i < j)
{
d.at(i).at(j) = 0.0;
}
else if (i == j)
{
sum = 0.0;
int k=0;
while ( k < (i-1) )
{
dp = d.at(i).at(k);
sum += dp*dp;
k++;
}
diff = b.at(i).at(i) - sum;
d.at(i).at(j) = std::sqrt(diff);
}
else if (i > j)
{
sum = 0.0;
int k=0;
while (k < (i-1) )
{
sum += d.at(i).at(k) * d.at(j).at(k);
k++;
}
diff = b.at(i).at(j) - sum;
d.at(i).at(j) = (1.0 / d.at(j).at(j) ) * diff;
}
}
}
}
void CholeskyDecomposition::calcCholeskyDecompostions(const Parametrisation& params)
{
calcCholeskyMatrix(mCholeskyMatrixOneDay,params.getCovarianceMatrix(nenOneDay));
calcCholeskyMatrix(mCholeskyMatrixTenDays,params.getCovarianceMatrix(nenTenDays));
dumpCholeskyMatrices();
}
|