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Packages that use DimensionMismatchException | |
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org.apache.commons.math.analysis.interpolation | Univariate real functions interpolation algorithms. |
org.apache.commons.math.random | Random number and random data generators. |
org.apache.commons.math.stat.descriptive | Generic univariate summary statistic objects. |
org.apache.commons.math.stat.descriptive.moment | Summary statistics based on moments. |
Uses of DimensionMismatchException in org.apache.commons.math.analysis.interpolation |
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Constructors in org.apache.commons.math.analysis.interpolation that throw DimensionMismatchException | |
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BicubicSplineInterpolatingFunction(double[] x,
double[] y,
double[][] z,
double[][] dZdX,
double[][] dZdY,
double[][] dZdXdY)
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MicrosphereInterpolatingFunction(double[][] xval,
double[] yval,
int brightnessExponent,
int microsphereElements,
UnitSphereRandomVectorGenerator rand)
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Uses of DimensionMismatchException in org.apache.commons.math.random |
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Constructors in org.apache.commons.math.random that throw DimensionMismatchException | |
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CorrelatedRandomVectorGenerator(double[] mean,
RealMatrix covariance,
double small,
NormalizedRandomGenerator generator)
Simple constructor. |
Uses of DimensionMismatchException in org.apache.commons.math.stat.descriptive |
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Methods in org.apache.commons.math.stat.descriptive that throw DimensionMismatchException | |
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void |
SynchronizedMultivariateSummaryStatistics.addValue(double[] value)
Add an n-tuple to the data |
void |
MultivariateSummaryStatistics.addValue(double[] value)
Add an n-tuple to the data |
void |
SynchronizedMultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)
Sets the implementation for the geometric mean. |
void |
MultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)
Sets the implementation for the geometric mean. |
void |
SynchronizedMultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl)
Sets the implementation for the maximum. |
void |
MultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl)
Sets the implementation for the maximum. |
void |
SynchronizedMultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl)
Sets the implementation for the mean. |
void |
MultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl)
Sets the implementation for the mean. |
void |
SynchronizedMultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl)
Sets the implementation for the minimum. |
void |
MultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl)
Sets the implementation for the minimum. |
void |
SynchronizedMultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl)
Sets the implementation for the Sum. |
void |
MultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl)
Sets the implementation for the Sum. |
void |
SynchronizedMultivariateSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl)
Sets the implementation for the sum of logs. |
void |
MultivariateSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl)
Sets the implementation for the sum of logs. |
void |
SynchronizedMultivariateSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic[] sumsqImpl)
Sets the implementation for the sum of squares. |
void |
MultivariateSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic[] sumsqImpl)
Sets the implementation for the sum of squares. |
Uses of DimensionMismatchException in org.apache.commons.math.stat.descriptive.moment |
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Methods in org.apache.commons.math.stat.descriptive.moment that throw DimensionMismatchException | |
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void |
VectorialMean.increment(double[] v)
Add a new vector to the sample. |
void |
VectorialCovariance.increment(double[] v)
Add a new vector to the sample. |
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