IMP  2.2.1
The Integrative Modeling Platform
domino.h
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1 /**
2  * \file IMP/domino.h
3  * \brief A container which has pairs which ensure a set is connected
4  *
5  * Copyright 2007-2014 IMP Inventors. All rights reserved.
6  */
7 
8 #ifndef IMP_DOMINO_H
9 #define IMP_DOMINO_H
10 #include <IMP/domino/Assignment.h>
11 #include <IMP/domino/BranchAndBoundSampler.h>
12 #include <IMP/domino/DependencyScoreState.h>
13 #include <IMP/domino/DiscreteSampler.h>
14 #include <IMP/domino/DominoSampler.h>
15 #include <IMP/domino/Order.h>
16 #include <IMP/domino/Slice.h>
17 #include <IMP/domino/Subset.h>
18 #include <IMP/domino/analysis.h>
19 #include <IMP/domino/assignment_containers.h>
20 #include <IMP/domino/assignment_tables.h>
21 #include <IMP/domino/domino_macros.h>
22 #include <IMP/domino/interactive.h>
23 #include <IMP/domino/particle_states.h>
24 #include <IMP/domino/subset_filters.h>
25 #include <IMP/domino/subset_graphs.h>
26 #include <IMP/domino/subset_scores.h>
27 #include <IMP/domino/utility.h>
28 #endif /* IMP_DOMINO_H */
DependencyScoreState.h
A beyesian infererence-based sampler.
subset_graphs.h
A beyesian infererence-based sampler.
Assignment.h
A beyesian infererence-based sampler.
subset_filters.h
A beyesian infererence-based sampler.
interactive.h
Functions to get report statistics about the used attributes.
assignment_tables.h
A beyesian infererence-based sampler.
analysis.h
Functions to get report statistics about the used attributes.
DiscreteSampler.h
A beyesian infererence-based sampler.
domino_macros.h
Various important macros for implementing decorators.
Order.h
A beyesian infererence-based sampler.
Subset.h
A beyesian infererence-based sampler.
BranchAndBoundSampler.h
A beyesian infererence-based sampler.
Slice.h
A beyesian infererence-based sampler.
utility.h
Functions to get report statistics about the used attributes.
subset_scores.h
A beyesian infererence-based sampler.
assignment_containers.h
A beyesian infererence-based sampler.
particle_states.h
A beyesian infererence-based sampler.
DominoSampler.h
A beyesian infererence-based sampler.