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aGrUM
0.13.2.9
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▼Generic algorithms | |
Approximation Scheme algorithms | About aGrUM approximation schemes |
Approximation algorithms | About aGrUM approximation policies |
▼Bayesian Networks | |
Inference Algorithms | |
Serialization | |
Generators | |
Particles Algorithms | |
Credal Networks | |
▼Basic data structures | |
Hash Tables | A efficient and flexible implementation of hash tables |
Hash functions | This module lists all hash functions provided by aGrUM |
Bijections | Set of pairs of elements with fast search for both elements |
Heaps | An implementation of heaps |
Lists | This file provides class List for manipulating generic lists as well as List<>::iterator, List<>::const_iterator, List<>::iterator_safe and List<>::const_iterator_safe for parsing lists |
Priority queue | This file provides class MultiPriorityQueue that is essentially a heap in which elements are sorted according to a dynamically modifiable priority |
Sequences | A Sequence<Key> is quite similar to a vector<Key> in that it stores an ordered set of elements |
Sets | A Set is a structure that contains arbitrary elements |
Splay Trees | A splay tree is a self-balancing binary search tree |
Factored Markov Decision Process | |
Graph representation | |
▼Tools for learning | |
Database Manipulations | |
Scores and Independence Tests | |
Scores A Prioris | |
Structural Constraints | |
▼multidimensional tables | |
Operators on multidimensional tables | |
Aggregators | |
Function Graphs | |
Patterns for multidimensional tables | |
Probabilistic Relational Models | |
Signaler and Listener | |
▼Utilities | About aGrUM utilities |
Math | All the maths you'll need |
Configuration | About aGrUM configuration |
Smart Pointers | RefPtr are a replacement for the usual pointers: they keep track of the number of "smart" pointers pointing to a given element |