Package | Description |
---|---|
org.apache.commons.math3.complex |
Complex number type and implementations of complex transcendental
functions.
|
org.apache.commons.math3.exception |
Specialized exceptions for algorithms errors.
|
org.apache.commons.math3.fraction |
Fraction number type and fraction number formatting.
|
org.apache.commons.math3.geometry.euclidean.threed |
This package provides basic 3D geometry components.
|
org.apache.commons.math3.geometry.spherical.twod |
This package provides basic geometry components on the 2-sphere.
|
org.apache.commons.math3.ode |
This package provides classes to solve Ordinary Differential Equations problems.
|
org.apache.commons.math3.optim.linear |
Optimization algorithms for linear constrained problems.
|
org.apache.commons.math3.optimization.linear |
This package provides optimization algorithms for linear constrained problems.
|
org.apache.commons.math3.random |
Random number and random data generators.
|
org.apache.commons.math3.stat.descriptive |
Generic univariate summary statistic objects.
|
org.apache.commons.math3.stat.descriptive.moment |
Summary statistics based on moments.
|
org.apache.commons.math3.util |
Convenience routines and common data structures used throughout the commons-math library.
|
Modifier and Type | Method and Description |
---|---|
double |
RootsOfUnity.getImaginary(int k)
Get the imaginary part of the
k -th n -th root of unity. |
double |
RootsOfUnity.getReal(int k)
Get the real part of the
k -th n -th root of unity. |
boolean |
RootsOfUnity.isCounterClockWise()
|
Modifier and Type | Class and Description |
---|---|
class |
ConvergenceException
Error thrown when a numerical computation can not be performed because the
numerical result failed to converge to a finite value.
|
class |
MathInternalError
Exception triggered when something that shouldn't happen does happen.
|
class |
MathParseException
Class to signal parse failures.
|
class |
MaxCountExceededException
Exception to be thrown when some counter maximum value is exceeded.
|
class |
TooManyEvaluationsException
Exception to be thrown when the maximal number of evaluations is exceeded.
|
class |
TooManyIterationsException
Exception to be thrown when the maximal number of iterations is exceeded.
|
Modifier and Type | Class and Description |
---|---|
class |
FractionConversionException
Error thrown when a double value cannot be converted to a fraction
in the allowed number of iterations.
|
Modifier and Type | Class and Description |
---|---|
class |
CardanEulerSingularityException
This class represents exceptions thrown while extractiong Cardan
or Euler angles from a rotation.
|
Modifier and Type | Method and Description |
---|---|
protected void |
SphericalPolygonsSet.computeGeometricalProperties()
Compute some geometrical properties.
|
List<Vertex> |
SphericalPolygonsSet.getBoundaryLoops()
Get the boundary loops of the polygon.
|
Modifier and Type | Method and Description |
---|---|
void |
SecondOrderIntegrator.integrate(SecondOrderDifferentialEquations equations,
double t0,
double[] y0,
double[] yDot0,
double t,
double[] y,
double[] yDot)
Integrate the differential equations up to the given time
|
Modifier and Type | Class and Description |
---|---|
class |
NoFeasibleSolutionException
This class represents exceptions thrown by optimizers when no solution fulfills the constraints.
|
class |
UnboundedSolutionException
This class represents exceptions thrown by optimizers when a solution escapes to infinity.
|
Modifier and Type | Method and Description |
---|---|
protected abstract PointValuePair |
AbstractLinearOptimizer.doOptimize()
Deprecated.
Perform the bulk of optimization algorithm.
|
PointValuePair |
AbstractLinearOptimizer.optimize(LinearObjectiveFunction f,
Collection<LinearConstraint> constraints,
GoalType goalType,
boolean restrictToNonNegative)
Deprecated.
Optimizes an objective function.
|
PointValuePair |
LinearOptimizer.optimize(LinearObjectiveFunction f,
Collection<LinearConstraint> constraints,
GoalType goalType,
boolean restrictToNonNegative)
Deprecated.
Optimizes an objective function.
|
Modifier and Type | Method and Description |
---|---|
void |
ValueServer.fill(double[] values)
Fills the input array with values generated using getNext() repeatedly.
|
double[] |
ValueServer.fill(int length)
Returns an array of length
length with values generated
using getNext() repeatedly. |
double |
ValueServer.getNext()
Returns the next generated value, generated according
to the mode value (see MODE constants).
|
double |
EmpiricalDistribution.getNextValue()
Generates a random value from this distribution.
|
Modifier and Type | Method and Description |
---|---|
double |
DescriptiveStatistics.getPercentile(double p)
Returns an estimate for the pth percentile of the stored values.
|
void |
DescriptiveStatistics.removeMostRecentValue()
Removes the most recent value from the dataset.
|
double |
DescriptiveStatistics.replaceMostRecentValue(double v)
Replaces the most recently stored value with the given value.
|
void |
SummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic geoMeanImpl)
Sets the implementation for the geometric mean.
|
void |
SynchronizedSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic geoMeanImpl)
Sets the implementation for the geometric mean.
|
void |
MultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)
Sets the implementation for the geometric mean.
|
void |
SynchronizedMultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)
Sets the implementation for the geometric mean.
|
void |
SummaryStatistics.setMaxImpl(StorelessUnivariateStatistic maxImpl)
Sets the implementation for the maximum.
|
void |
SynchronizedSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic maxImpl)
Sets the implementation for the maximum.
|
void |
MultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl)
Sets the implementation for the maximum.
|
void |
SynchronizedMultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl)
Sets the implementation for the maximum.
|
void |
SummaryStatistics.setMeanImpl(StorelessUnivariateStatistic meanImpl)
Sets the implementation for the mean.
|
void |
SynchronizedSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic meanImpl)
Sets the implementation for the mean.
|
void |
MultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl)
Sets the implementation for the mean.
|
void |
SynchronizedMultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl)
Sets the implementation for the mean.
|
void |
SummaryStatistics.setMinImpl(StorelessUnivariateStatistic minImpl)
Sets the implementation for the minimum.
|
void |
SynchronizedSummaryStatistics.setMinImpl(StorelessUnivariateStatistic minImpl)
Sets the implementation for the minimum.
|
void |
MultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl)
Sets the implementation for the minimum.
|
void |
SynchronizedMultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl)
Sets the implementation for the minimum.
|
void |
SummaryStatistics.setSumImpl(StorelessUnivariateStatistic sumImpl)
Sets the implementation for the Sum.
|
void |
SynchronizedSummaryStatistics.setSumImpl(StorelessUnivariateStatistic sumImpl)
Sets the implementation for the Sum.
|
void |
MultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl)
Sets the implementation for the Sum.
|
void |
SynchronizedMultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl)
Sets the implementation for the Sum.
|
void |
SummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic sumLogImpl)
Sets the implementation for the sum of logs.
|
void |
SynchronizedSummaryStatistics.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.setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl)
Sets the implementation for the sum of logs.
|
void |
SummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic sumsqImpl)
Sets the implementation for the sum of squares.
|
void |
SynchronizedSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic sumsqImpl)
Sets the implementation for the sum of squares.
|
void |
MultivariateSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic[] sumsqImpl)
Sets the implementation for the sum of squares.
|
void |
SynchronizedMultivariateSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic[] sumsqImpl)
Sets the implementation for the sum of squares.
|
void |
SummaryStatistics.setVarianceImpl(StorelessUnivariateStatistic varianceImpl)
Sets the implementation for the variance.
|
void |
SynchronizedSummaryStatistics.setVarianceImpl(StorelessUnivariateStatistic varianceImpl)
Sets the implementation for the variance.
|
Modifier and Type | Method and Description |
---|---|
void |
GeometricMean.setSumLogImpl(StorelessUnivariateStatistic sumLogImpl)
Sets the implementation for the sum of logs.
|
Modifier and Type | Method and Description |
---|---|
double |
ResizableDoubleArray.substituteMostRecentElement(double value)
Substitutes
value for the most recently added value. |
Copyright © 2003–2016 The Apache Software Foundation. All rights reserved.