Topics

Here is a list of all topics with brief descriptions:

[detail level 12]

Generic algorithms
Approximation Scheme algorithms	About aGrUM approximation schemes
Approximation algorithms	About aGrUM approximation policies
Bayesian networks
Inference Algorithms for Bayesian networks
Serialization of Bayesian networks
Generators
Particles Algorithms
Inference Algorithms for Markov random fields
Serialization of Markov random fields
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 Priori
Structural Constraints
Parameters utilities
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