Class and Description |
---|
Action
An abstraction for an action that can be selected for a given
State . |
ForwardRecursion
Implements a forward recursion algorithm to solve a stochastic dynamic program.
|
HashType
Available hash mappings.
|
ImmediateValueFunction
A functional interface that captures immediate value of a transition from an initial state to
a final state under a chosen action.
|
Recursion
An abstraction for a recursive solution method for the stochastic dynamic program.
|
State
An abstraction for a state in which the system may be found in period
period . |
StateSpace
An abstract container that stores all generated
State . |
TransitionProbability
An abstraction to capture the stochastic decision process transition probabilities.
|
Class and Description |
---|
Action
An abstraction for an action that can be selected for a given
State . |
ActionIterator
An abstraction representing an
Iterator for a given action space. |
Class and Description |
---|
Action
An abstraction for an action that can be selected for a given
State . |
BackwardRecursion
Implements a backward recursion algorithm to solve a stochastic dynamic program.
|
ForwardRecursion
Implements a forward recursion algorithm to solve a stochastic dynamic program.
|
Recursion
An abstraction for a recursive solution method for the stochastic dynamic program.
|
State
An abstraction for a state in which the system may be found in period
period . |
StateDescriptor
An abstract lightweight descriptor to uniquely identify a
State . |
StateSpace
An abstract container that stores all generated
State . |
StateSpaceIterator
An abstraction representing an
Iterator for a given StateSpace . |
StateTransitionFunction
A functional interface that captures the state transition function.
|
TransitionProbability
An abstraction to capture the stochastic decision process transition probabilities.
|
ValueRepository
An abstraction representing a repository for the value associated with each
State . |
Class and Description |
---|
Action
An abstraction for an action that can be selected for a given
State . |
ForwardRecursion
Implements a forward recursion algorithm to solve a stochastic dynamic program.
|
HashType
Available hash mappings.
|
ImmediateValueFunction
A functional interface that captures immediate value of a transition from an initial state to
a final state under a chosen action.
|
Recursion
An abstraction for a recursive solution method for the stochastic dynamic program.
|
State
An abstraction for a state in which the system may be found in period
period . |
StateDescriptor
An abstract lightweight descriptor to uniquely identify a
State . |
StateSpace
An abstract container that stores all generated
State . |
TransitionProbability
An abstraction to capture the stochastic decision process transition probabilities.
|
Class and Description |
---|
Action
An abstraction for an action that can be selected for a given
State . |
ForwardRecursion
Implements a forward recursion algorithm to solve a stochastic dynamic program.
|
HashType
Available hash mappings.
|
ImmediateValueFunction
A functional interface that captures immediate value of a transition from an initial state to
a final state under a chosen action.
|
Recursion
An abstraction for a recursive solution method for the stochastic dynamic program.
|
State
An abstraction for a state in which the system may be found in period
period . |
StateDescriptor
An abstract lightweight descriptor to uniquely identify a
State . |
StateSpace
An abstract container that stores all generated
State . |
TransitionProbability
An abstraction to capture the stochastic decision process transition probabilities.
|
Class and Description |
---|
Action
An abstraction for an action that can be selected for a given
State . |
ForwardRecursion
Implements a forward recursion algorithm to solve a stochastic dynamic program.
|
HashType
Available hash mappings.
|
ImmediateValueFunction
A functional interface that captures immediate value of a transition from an initial state to
a final state under a chosen action.
|
Recursion
An abstraction for a recursive solution method for the stochastic dynamic program.
|
State
An abstraction for a state in which the system may be found in period
period . |
StateDescriptor
An abstract lightweight descriptor to uniquely identify a
State . |
StateSpace
An abstract container that stores all generated
State . |
TransitionProbability
An abstraction to capture the stochastic decision process transition probabilities.
|
Class and Description |
---|
Action
An abstraction for an action that can be selected for a given
State . |
HashType
Available hash mappings.
|
ImmediateValueFunction
A functional interface that captures immediate value of a transition from an initial state to
a final state under a chosen action.
|
Recursion
An abstraction for a recursive solution method for the stochastic dynamic program.
|
Recursion.OptimisationDirection |
State
An abstraction for a state in which the system may be found in period
period . |
StateAction
An association abstraction for a pair state-action.
|
StateSpace
An abstract container that stores all generated
State . |
TransitionProbability
An abstraction to capture the stochastic decision process transition probabilities.
|
ValueRepository
An abstraction representing a repository for the value associated with each
State . |
Class and Description |
---|
Action
An abstraction for an action that can be selected for a given
State . |
BackwardRecursion
Implements a backward recursion algorithm to solve a stochastic dynamic program.
|
HashType
Available hash mappings.
|
ImmediateValueFunction
A functional interface that captures immediate value of a transition from an initial state to
a final state under a chosen action.
|
RandomOutcomeFunction
A functional interface that captures random outcomes.
|
Recursion
An abstraction for a recursive solution method for the stochastic dynamic program.
|
Recursion.OptimisationDirection |
State
An abstraction for a state in which the system may be found in period
period . |
StateDescriptor
An abstract lightweight descriptor to uniquely identify a
State . |
StateSpace
An abstract container that stores all generated
State . |
StateSpaceIterator
An abstraction representing an
Iterator for a given StateSpace . |
TransitionProbability
An abstraction to capture the stochastic decision process transition probabilities.
|
Class and Description |
---|
Recursion
An abstraction for a recursive solution method for the stochastic dynamic program.
|
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