jmarkov.solvers
Class TransientSolver
java.lang.Object
jmarkov.solvers.Solver
jmarkov.solvers.TransientSolver
- All Implemented Interfaces:
- JMarkovElement
- Direct Known Subclasses:
- JamaTransientSolver
public abstract class TransientSolver
- extends Solver
An abstract class for Transient solvers. At least the method
getTransientProbs(double time, State i0) has to be implemented. All others
call this method, but the user can provide more efficient implementations.
- Author:
- Germán Riaño. Universidad de los Andes.
- See Also:
getTransientProbs(double, State)
Fields inherited from class jmarkov.solvers.Solver |
mp |
Method Summary |
double[][] |
getTransientProbs(double[] times,
State i0)
Computes the steady state probabilities at this given times, assuming the
Markov Chain starts in the given state i0. |
abstract double[] |
getTransientProbs(double time,
State i0)
Computes the steady state probabilities at this given time, assuming the
Markov Chain starts in the given state i0. |
double[][] |
getTransientProbs(int NumberPoints,
double delta,
State i0)
Computes the steady state probabilities at times delta, 2delta,
3delta,..., assuming the Markov Chain starts in the given state i0. |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
TransientSolver
public TransientSolver(MarkovProcess mp)
- Build a solver with the asssocieted Markov Process.
- Parameters:
mp
-
getTransientProbs
public abstract double[] getTransientProbs(double time,
State i0)
- Computes the steady state probabilities at this given time, assuming the
Markov Chain starts in the given state i0.
- Parameters:
time
- i0
- Initial State.
- Returns:
- probabilities array
getTransientProbs
public double[][] getTransientProbs(double[] times,
State i0)
- Computes the steady state probabilities at this given times, assuming the
Markov Chain starts in the given state i0.
- Parameters:
times
- An array with the times at which the probabilities are to be
evaluated.i0
- The initial state (at time t=0).
- Returns:
- probabilities array for each state. The (i,j) entry on the
returned state represents the steady state probability for state
i at time times[j].
getTransientProbs
public double[][] getTransientProbs(int NumberPoints,
double delta,
State i0)
- Computes the steady state probabilities at times delta, 2delta,
3delta,..., assuming the Markov Chain starts in the given state i0.
- Parameters:
NumberPoints
- delta
- the time gap between measurements.i0
- Initial state.
- Returns:
- probabilities array for each state. The (i,j) entry on the
returned state represents the steady state probability for state
i at time j * delta.