Line data Source code
1 : /* +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
2 : Copyright (c) 2015-2019 The plumed team
3 : (see the PEOPLE file at the root of the distribution for a list of names)
4 :
5 : See http://www.plumed.org for more information.
6 :
7 : This file is part of plumed, version 2.
8 :
9 : plumed is free software: you can redistribute it and/or modify
10 : it under the terms of the GNU Lesser General Public License as published by
11 : the Free Software Foundation, either version 3 of the License, or
12 : (at your option) any later version.
13 :
14 : plumed is distributed in the hope that it will be useful,
15 : but WITHOUT ANY WARRANTY; without even the implied warranty of
16 : MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
17 : GNU Lesser General Public License for more details.
18 :
19 : You should have received a copy of the GNU Lesser General Public License
20 : along with plumed. If not, see <http://www.gnu.org/licenses/>.
21 : +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ */
22 : #include "ActionWithInputMatrix.h"
23 : #include "multicolvar/AtomValuePack.h"
24 : #include "AdjacencyMatrixVessel.h"
25 : #include "AdjacencyMatrixBase.h"
26 : #include "core/ActionRegister.h"
27 : #include "core/PlumedMain.h"
28 : #include "core/ActionSet.h"
29 :
30 : //+PLUMEDOC MATRIXF ROWSUMS
31 : /*
32 : Sum the rows of a adjacency matrix.
33 :
34 : As discussed in the section of the manual on \ref contactmatrix a useful tool for developing complex collective variables is the notion of the
35 : so called adjacency matrix. An adjacency matrix is an \f$N \times N\f$ matrix in which the \f$i\f$th, \f$j\f$th element tells you whether
36 : or not the \f$i\f$th and \f$j\f$th atoms/molecules from a set of \f$N\f$ atoms/molecules are adjacent or not. This action allows you to calculate
37 : the sum of the rows in this adjacency matrix and to then calculate further functions of these quantities.
38 :
39 : \par Examples
40 :
41 : The first instruction in the following input file tells PLUMED to compute a \f$10 \times 10\f$ matrix in which the \f$ij\f$-element
42 : tells you whether atoms \f$i\f$ and \f$j\f$ are within 1.0 nm of each other. The numbers in each of this rows are then added together
43 : and the average value is computed. As such the following input provides an alternative method for calculating the coordination numbers
44 : of atoms 1 to 10.
45 :
46 : \plumedfile
47 : mat: CONTACT_MATRIX ATOMS=1-10 SWITCH={RATIONAL R_0=1.0}
48 : rsums: ROWSUMS MATRIX=mat MEAN
49 : PRINT ARG=rsums.* FILE=colvar
50 : \endplumedfile
51 :
52 : The following input demonstrates another way that an average coordination number can be computed. This input calculates the number of atoms
53 : with indices between 6 and 15 that are within the first coordination spheres of each of the atoms within indices between 1 and 5. The average
54 : coordination number is then calculated from these five coordination numbers and this quantity is output to a file.
55 :
56 : \plumedfile
57 : mat2: CONTACT_MATRIX ATOMSA=1-5 ATOMSB=6-15 SWITCH={RATIONAL R_0=1.0}
58 : rsums: ROWSUMS MATRIX=mat2 MEAN
59 : PRINT ARG=rsums.* FILE=colvar
60 : \endplumedfile
61 :
62 : */
63 : //+ENDPLUMEDOC
64 :
65 : namespace PLMD {
66 : namespace adjmat {
67 :
68 6 : class MatrixRowSums : public ActionWithInputMatrix {
69 : public:
70 : static void registerKeywords( Keywords& keys );
71 : explicit MatrixRowSums(const ActionOptions&);
72 : double compute( const unsigned& tinded, multicolvar::AtomValuePack& myatoms ) const ;
73 : };
74 :
75 6455 : PLUMED_REGISTER_ACTION(MatrixRowSums,"ROWSUMS")
76 :
77 4 : void MatrixRowSums::registerKeywords( Keywords& keys ) {
78 4 : ActionWithInputMatrix::registerKeywords( keys );
79 16 : keys.use("ALT_MIN"); keys.use("LOWEST"); keys.use("HIGHEST");
80 20 : keys.use("MEAN"); keys.use("MIN"); keys.use("MAX"); keys.use("LESS_THAN");
81 20 : keys.use("MORE_THAN"); keys.use("BETWEEN"); keys.use("HISTOGRAM"); keys.use("MOMENTS");
82 4 : }
83 :
84 3 : MatrixRowSums::MatrixRowSums(const ActionOptions& ao):
85 : Action(ao),
86 3 : ActionWithInputMatrix(ao)
87 : {
88 6 : if( (mymatrix->getMatrixAction())->mybasemulticolvars.size()>0 ) error("matrix row sums should only be calculated when inputs are atoms");
89 : // Setup the tasks
90 3 : unsigned nrows = mymatrix->getNumberOfRows();
91 6 : ablocks.resize(1); ablocks[0].resize( nrows );
92 82 : for(unsigned i=0; i<nrows; ++i) { ablocks[0][i]=i; addTaskToList( i ); }
93 3 : std::vector<AtomNumber> fake_atoms; setupMultiColvarBase( fake_atoms );
94 3 : }
95 :
96 139 : double MatrixRowSums::compute( const unsigned& tinded, multicolvar::AtomValuePack& myatoms ) const {
97 278 : std::vector<double> tvals( mymatrix->getNumberOfComponents() );
98 278 : getInputData( tinded, false, myatoms, tvals ); double fval=tvals[1];
99 :
100 139 : if( !doNotCalculateDerivatives() ) {
101 225 : tvals.assign( tvals.size(), 0 ); tvals[1]=1.0;
102 75 : mergeInputDerivatives( 1, 1, 2, tinded, tvals, getInputDerivatives( tinded, false, myatoms ), myatoms );
103 : }
104 139 : return fval;
105 : }
106 :
107 : }
108 4839 : }
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