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root/OpenMD/branches/development/src/math/CholeskyDecomposition.hpp
Revision: 1760
Committed: Thu Jun 21 19:26:46 2012 UTC (12 years, 10 months ago) by gezelter
File size: 3408 byte(s)
Log Message:
Some bugfixes (CholeskyDecomposition), more work on fluctuating charges,
migrating stats stuff into frameData

File Contents

# Content
1 /*
2 * Copyright (c) 2005 The University of Notre Dame. All Rights Reserved.
3 *
4 * The University of Notre Dame grants you ("Licensee") a
5 * non-exclusive, royalty free, license to use, modify and
6 * redistribute this software in source and binary code form, provided
7 * that the following conditions are met:
8 *
9 * 1. Redistributions of source code must retain the above copyright
10 * notice, this list of conditions and the following disclaimer.
11 *
12 * 2. Redistributions in binary form must reproduce the above copyright
13 * notice, this list of conditions and the following disclaimer in the
14 * documentation and/or other materials provided with the
15 * distribution.
16 *
17 * This software is provided "AS IS," without a warranty of any
18 * kind. All express or implied conditions, representations and
19 * warranties, including any implied warranty of merchantability,
20 * fitness for a particular purpose or non-infringement, are hereby
21 * excluded. The University of Notre Dame and its licensors shall not
22 * be liable for any damages suffered by licensee as a result of
23 * using, modifying or distributing the software or its
24 * derivatives. In no event will the University of Notre Dame or its
25 * licensors be liable for any lost revenue, profit or data, or for
26 * direct, indirect, special, consequential, incidental or punitive
27 * damages, however caused and regardless of the theory of liability,
28 * arising out of the use of or inability to use software, even if the
29 * University of Notre Dame has been advised of the possibility of
30 * such damages.
31 *
32 * SUPPORT OPEN SCIENCE! If you use OpenMD or its source code in your
33 * research, please cite the appropriate papers when you publish your
34 * work. Good starting points are:
35 *
36 * [1] Meineke, et al., J. Comp. Chem. 26, 252-271 (2005).
37 * [2] Fennell & Gezelter, J. Chem. Phys. 124, 234104 (2006).
38 * [3] Sun, Lin & Gezelter, J. Chem. Phys. 128, 24107 (2008).
39 * [4] Kuang & Gezelter, J. Chem. Phys. 133, 164101 (2010).
40 * [5] Vardeman, Stocker & Gezelter, J. Chem. Theory Comput. 7, 834 (2011).
41 */
42
43 #include "math/Vector.hpp"
44
45 #ifndef MATH_CHOLESKYDECOMPOSITION_HPP
46 #define MATH_CHOLESKYDECOMPOSITION_HPP
47
48 using namespace std;
49 namespace OpenMD {
50
51 template<class MatrixType>
52 void CholeskyDecomposition(MatrixType& A, MatrixType& L) {
53
54 int n = A.getNRow();
55 assert(n == A.getNCol() && n == L.getNRow() && n == L.getNCol());
56
57 bool isspd(true);
58 RealType eps = A.diagonals().abs().max() *
59 (numeric_limits<RealType>::epsilon())/100;
60
61
62 for(int j = 0; j < n; j++) {
63 RealType d(0.0);
64 for (int k = 0; k < j; k++) {
65 RealType s(0.0);
66
67 for (int i = 0; i < k; i++) {
68 s += L(k,i) * L(j,i);
69 }
70
71 // if L(k,k) != 0
72 if (std::abs(L(k,k)) > eps) {
73 s = (A(j,k) - s) / L(k,k);
74 } else {
75 s = (A(j,k) -s);
76 isspd = false;
77 }
78 L(j,k) = s;
79 d = d + s*s;
80
81 // this is approximately doing: isspd = isspd && ( A(k,j) == A(j,k) )
82 isspd = isspd && (abs(A(k,j) - A(j,k)) < eps );
83 }
84 d = A(j,j) - d;
85 isspd = isspd && (d > eps);
86 L(j,j) = sqrt(d > 0.0 ? d : 0.0);
87 for (int k = j+1; k < n; k++) {
88 L(j,k) = 0.0;
89 }
90 }
91 }
92 }
93
94 #endif

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