public abstract class MCMC_Minimizer extends MarkovChainMonteCarlo implements Minimizer
Constructor and Description |
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MCMC_Minimizer() |
Modifier and Type | Method and Description |
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int |
getNumSolutions()
Returns the number of candidate solutions each run returns.
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double[][] |
getSolutions()
Returns the list of M samples from the MCMC.
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void |
setMeasurements(double[] newMeas)
Initializes the fitting procedure with a new set of
measurements (dependent variables).
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getAcceptanceRate, getParameters, minimise, setInitParams
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
minimise, setInitParams
public double[][] getSolutions()
getSolutions
in interface Minimizer
public int getNumSolutions()
Minimizer
getNumSolutions
in interface Minimizer
public void setMeasurements(double[] newMeas) throws MarkovChainMonteCarloException
setMeasurements
in interface Minimizer
newMeas
- The new set of measurements.MarkovChainMonteCarloException