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java.lang.Objecthep.aida.ref.optimizer.OptimizerResult
Implementation of IOptimizerResult
| Field Summary |
| Fields inherited from interface hep.aida.ext.IOptimizerResult |
APPROXIMATE, CONVERGED, CONVERGED_NEG_MATRIX, CONVERGED_SMALL_GRADIENT, CONVERGED_SMALL_STEP_SIZE, NOT_CONVERGED, REACHED_MAX_ITER, TOO_MANY_LARGE_STEPS, UNDEFINED |
| Constructor Summary | |
OptimizerResult()
Creates a new instance of OptimizerResult |
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| Method Summary | |
IOptimizerConfiguration |
configuration()
The optimizer's configuration. |
IDomainConstraint |
constraints()
The constraints used in the optimization. |
Object |
contour(int nSigma,
int nPoints,
IVariable var1,
IVariable var2)
Get the contour with respec to two variables. |
double[][] |
correlationMatrix()
The correlation matrix. |
double[][] |
covarianceMatrix()
The covariance matrix. |
int |
optimizationStatus()
The status of the optimizer after the optimization procedure. |
double[] |
parameters()
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Object |
scan(int nPoints,
IVariable var)
Scan the function with respect to a variable. |
Object |
scan(int nPoints,
IVariable var1,
IVariable var2)
Scan the function with respect to two variables. |
void |
setCorrelationMatrix(double[][] corrMatrix)
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void |
setCovarianceMatrix(double[][] covMatrix)
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void |
setOptimizationStatus(int status)
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void |
setParameters(double[] pars)
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| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
public OptimizerResult()
| Method Detail |
public double[] parameters()
parameters in interface IOptimizerResultpublic void setParameters(double[] pars)
public IDomainConstraint constraints()
constraints in interface IOptimizerResultpublic IOptimizerConfiguration configuration()
configuration in interface IOptimizerResultpublic double[][] covarianceMatrix()
covarianceMatrix in interface IOptimizerResultpublic void setCovarianceMatrix(double[][] covMatrix)
public double[][] correlationMatrix()
correlationMatrix in interface IOptimizerResultpublic void setCorrelationMatrix(double[][] corrMatrix)
public Object contour(int nSigma,
int nPoints,
IVariable var1,
IVariable var2)
contour in interface IOptimizerResultnSigma - The number of sigmas at which the contour should be calculated.nPoints - The maximum number of points on the contour (might be less).var1 - The first variable.var2 - The second variable.
public Object scan(int nPoints,
IVariable var1,
IVariable var2)
scan in interface IOptimizerResultnPoints - The number of points to be used in the scan.var1 - The first variable.var2 - The second variable.
public Object scan(int nPoints,
IVariable var)
scan in interface IOptimizerResultnPoints - The number of points to be used in the scan.var - The variable.
public int optimizationStatus()
optimizationStatus in interface IOptimizerResultpublic void setOptimizationStatus(int status)
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