Uses of Package
org.ddolib.ddo.core.heuristics.cluster

Packages that use org.ddolib.ddo.core.heuristics.cluster

Package	Description
org.ddolib.ddo.core.compilation	This package contains defining the compilation type and the compilation input
org.ddolib.ddo.core.heuristics.cluster	This package contains the classes and interfaces defining the heuristics which can be used to discard or merge node during the restriction or relaxation of the MDD.
org.ddolib.examples.knapsack	This package implements the acs, astar and ddo models for the Knapsack Problem (KS).
org.ddolib.examples.maximumcoverage
org.ddolib.examples.mks	The Multidimensional Knapsack Problem (MKP) is a generalization of the KP to multiple capacity constraints: $n$ items and $m$ dimensions of the knapsack are given, each dimension with capacity bound $(C_1,\ldots ,C_m)$.
org.ddolib.examples.talentscheduling	This package implements the acs, astar and ddo models for the Talent Scheduling problem (talentSched).
org.ddolib.modeling	This package contains the interfaces and abstract classes that must be implemented as problem specific classes to model a problem.It also contains default implementation.

Classes in org.ddolib.ddo.core.heuristics.cluster used by org.ddolib.ddo.core.compilation

Class	Description
ReductionStrategy	Interface defining a strategy to reduce the number of nodes in a layer of a decision diagram by clustering nodes for restriction and relaxation.

Classes in org.ddolib.ddo.core.heuristics.cluster used by org.ddolib.ddo.core.heuristics.cluster

Class	Description
ReductionStrategy	Interface defining a strategy to reduce the number of nodes in a layer of a decision diagram by clustering nodes for restriction and relaxation.
StateDistance	Interface defining a distance function between states, used to form clusters when deciding which nodes on a layer of a decision diagram should be merged.

Classes in org.ddolib.ddo.core.heuristics.cluster used by org.ddolib.examples.knapsack

Class	Description
StateDistance	Interface defining a distance function between states, used to form clusters when deciding which nodes on a layer of a decision diagram should be merged.

Classes in org.ddolib.ddo.core.heuristics.cluster used by org.ddolib.examples.maximumcoverage

Class	Description
StateDistance	Interface defining a distance function between states, used to form clusters when deciding which nodes on a layer of a decision diagram should be merged.

Classes in org.ddolib.ddo.core.heuristics.cluster used by org.ddolib.examples.mks

Class	Description
StateDistance	Interface defining a distance function between states, used to form clusters when deciding which nodes on a layer of a decision diagram should be merged.

Classes in org.ddolib.ddo.core.heuristics.cluster used by org.ddolib.examples.talentscheduling

Class	Description
StateDistance	Interface defining a distance function between states, used to form clusters when deciding which nodes on a layer of a decision diagram should be merged.

Classes in org.ddolib.ddo.core.heuristics.cluster used by org.ddolib.modeling

Class	Description
ReductionStrategy	Interface defining a strategy to reduce the number of nodes in a layer of a decision diagram by clustering nodes for restriction and relaxation.
StateDistance	Interface defining a distance function between states, used to form clusters when deciding which nodes on a layer of a decision diagram should be merged.