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| Classes in vec_math used by astro | |
|---|---|
| AbstractDataModel
An abstract data model is an implementation of a data model that allows the user to get access to the data it is constructed with. |
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| AbstractFit
Base class for model fitters. |
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| AbstractGradientModel
This class is designed to work together with the LevenbergMarquardt class. |
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| AbstractMultidimensionalDataModel
An abstract data model is an implementation of a data model that allows the user to get access to the data it is constructed with. |
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| DataFileModel
A data file reader that further specializes on data modelling. |
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| DataModel
A data model evaluates a data model for all measurements x for given model parameters. |
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| Function
The representation of a single-argument function. |
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| GeneralLinearRegression
Base class for all general linear least square fits. |
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| GradientModel
A data model, where the data model can be differentiated with respect to its model parameters. |
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| Inverse
An inverse function can calculate its argument from the function value. |
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| Matrix
Class to provide basic matrix functions, like multiplication (matrix or scalar), addition, transposing... |
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| ModelFitting
Model fitting instances can fit measurements to a particular model. |
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| Multidimensional
This interface describes a multi-dimensional functions. |
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| MultidimensionalDataModel
A multidimensional data model describes a data model for all measurements of an independant input vector x to a multidimensional measurement y of dependant variables. |
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| PI
An interface consisting only of static variables. |
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| PoissonRandom
Extends the random function to include Poisson-distributed random variable Uses algorithm of Ahrean & Dieter, 'Computer Methods for Sampling from Gamma, Beta, Poisson and Binominal Distributions', Computing 12, p223ff 1974. |
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| QuadMatrix
Extension to the NxM matrix functions Matrix. |
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| Variable
A model parameter has a name, a value and possibly an error and a unit. |
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| Vector2D
This class is the definition of a simple, two dimensional vector. |
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| Vector3D
This class is the definition of a simple, three dimensional vector. |
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| VectorFunction
A vector function takes an input VectorG and evaluates it to an
VectorG. |
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| VectorG
The definition of a N-dimensional vector. |
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| Classes in vec_math used by astro.fits | |
|---|---|
| AbstractDataModel
An abstract data model is an implementation of a data model that allows the user to get access to the data it is constructed with. |
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| AbstractGradientModel
This class is designed to work together with the LevenbergMarquardt class. |
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| CentralMoments
Moments is a stastistic package that allows calculation of sample central moments of discrete samples. |
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| DataModel
A data model evaluates a data model for all measurements x for given model parameters. |
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| Ellipse
A tilted ellipse. |
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| Function
The representation of a single-argument function. |
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| GeneralLinearRegression
Base class for all general linear least square fits. |
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| GradientModel
A data model, where the data model can be differentiated with respect to its model parameters. |
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| Legendre
The recursive formular for the Legendre polynomials. |
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| Matrix
Class to provide basic matrix functions, like multiplication (matrix or scalar), addition, transposing... |
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| Moments
Moments is a stastistic package that allows calculation of sample central moments of discrete samples. |
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| Multidimensional
This interface describes a multi-dimensional functions. |
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| Polynom
A representation of a polynomial of the form |
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| Statistic
Simple statistics package. |
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| Vector1D
This class is the definition of a simple, one dimensional vector. |
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| Vector2D
This class is the definition of a simple, two dimensional vector. |
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| Vector3D
This class is the definition of a simple, three dimensional vector. |
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| VectorG
The definition of a N-dimensional vector. |
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| Classes in vec_math used by jfits | |
|---|---|
| DoubleHistogram
From a list of doubles we calculate the histogram. |
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| Histogram
A histrogram interface for describing intensity levels in an image by use of a histogram. |
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| Statistic
Simple statistics package. |
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| Vector2D
This class is the definition of a simple, two dimensional vector. |
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| Vector3D
This class is the definition of a simple, three dimensional vector. |
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| Classes in vec_math used by jview | |
|---|---|
| Analyser
Similar to a VectorFunction, an analyser transforms input data to
output data. |
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| DataModel
A data model evaluates a data model for all measurements x for given model parameters. |
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| DataSink
A data sink acts as an rmi-server capable of handling data of a certain type issued to it via an RMI-call. |
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| DoubleHistogram
From a list of doubles we calculate the histogram. |
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| Function
The representation of a single-argument function. |
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| Histogram
A histrogram interface for describing intensity levels in an image by use of a histogram. |
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| ModelFitting
Model fitting instances can fit measurements to a particular model. |
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| Multidimensional
This interface describes a multi-dimensional functions. |
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| PhaseRegression
An analyser that fits a cosine wave with phase shift, but fixed period to the input data. |
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| Variable
A model parameter has a name, a value and possibly an error and a unit. |
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| VariableDepending
Constant depending classes may implement this interface to signale that they need certain variables for proper functionality. |
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| Vector2D
This class is the definition of a simple, two dimensional vector. |
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| Vector3D
This class is the definition of a simple, three dimensional vector. |
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| VectorDifferentiable
A interface that defines multidimensional functions, VectorFunctions, that are also differentiable to a certain degree. |
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| VectorG
The definition of a N-dimensional vector. |
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| Classes in vec_math used by mysql | |
|---|---|
| Node
A node in a parser scheme. |
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| Vector2D
This class is the definition of a simple, two dimensional vector. |
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| Classes in vec_math used by stella.adapter | |
|---|---|
| DataModel
A data model evaluates a data model for all measurements x for given model parameters. |
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| GradientModel
A data model, where the data model can be differentiated with respect to its model parameters. |
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| Matrix
Class to provide basic matrix functions, like multiplication (matrix or scalar), addition, transposing... |
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| Vector2D
This class is the definition of a simple, two dimensional vector. |
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| VectorFunction
A vector function takes an input VectorG and evaluates it to an
VectorG. |
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| VectorG
The definition of a N-dimensional vector. |
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| Classes in vec_math used by stella.ccd | |
|---|---|
| Function
The representation of a single-argument function. |
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| Classes in vec_math used by stella.command | |
|---|---|
| Vector2D
This class is the definition of a simple, two dimensional vector. |
|
| Classes in vec_math used by stella.jview | |
|---|---|
| DataModel
A data model evaluates a data model for all measurements x for given model parameters. |
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| Function
The representation of a single-argument function. |
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| ModelFitting
Model fitting instances can fit measurements to a particular model. |
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| Variable
A model parameter has a name, a value and possibly an error and a unit. |
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| Vector2D
This class is the definition of a simple, two dimensional vector. |
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| Vector3D
This class is the definition of a simple, three dimensional vector. |
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| VectorG
The definition of a N-dimensional vector. |
|
| Classes in vec_math used by stella.math | |
|---|---|
| PI
An interface consisting only of static variables. |
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| Polynom
A representation of a polynomial of the form |
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| VectorG
The definition of a N-dimensional vector. |
|
| Classes in vec_math used by stella.parameter | |
|---|---|
| CentralMoments
Moments is a stastistic package that allows calculation of sample central moments of discrete samples. |
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| Function
The representation of a single-argument function. |
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| Matrix
Class to provide basic matrix functions, like multiplication (matrix or scalar), addition, transposing... |
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| Statistic
Simple statistics package. |
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| Vector2D
This class is the definition of a simple, two dimensional vector. |
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| Vector3D
This class is the definition of a simple, three dimensional vector. |
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| VectorG
The definition of a N-dimensional vector. |
|
| Classes in vec_math used by stella.sensor | |
|---|---|
| LinearSmoothing
Base class for linear digital smoothing. |
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| PI
An interface consisting only of static variables. |
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| Polynom
A representation of a polynomial of the form |
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| SavitzkyGolaySmoothing
This class provides a Saviztky-Golay Digital Smoothing filter. |
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| Classes in vec_math used by stella.sql | |
|---|---|
| Function
The representation of a single-argument function. |
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| Statistic
Simple statistics package. |
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| Vector2D
This class is the definition of a simple, two dimensional vector. |
|
| Classes in vec_math used by stella.telescope | |
|---|---|
| Vector2D
This class is the definition of a simple, two dimensional vector. |
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| VectorG
The definition of a N-dimensional vector. |
|
| Classes in vec_math used by stella.util | |
|---|---|
| AbstractDataModel
An abstract data model is an implementation of a data model that allows the user to get access to the data it is constructed with. |
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| CentralMoments
Moments is a stastistic package that allows calculation of sample central moments of discrete samples. |
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| DataModel
A data model evaluates a data model for all measurements x for given model parameters. |
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| ExpressionCalculator
Combines an ExpressionNode and an ExpressionParser to
actually fill paramtere values into an expression and evaluate this. |
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| ExpressionNode
A node class for ExpressionParser. |
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| Function
The representation of a single-argument function. |
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| GeneralLinearRegression
Base class for all general linear least square fits. |
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| Multidimensional
This interface describes a multi-dimensional functions. |
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| PoissonRandom
Extends the random function to include Poisson-distributed random variable Uses algorithm of Ahrean & Dieter, 'Computer Methods for Sampling from Gamma, Beta, Poisson and Binominal Distributions', Computing 12, p223ff 1974. |
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| PrintMultidimensional
This interface describes a multi-dimensional functions. |
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| QuadMatrix
Extension to the NxM matrix functions Matrix. |
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| SavitzkyGolaySmoothing
This class provides a Saviztky-Golay Digital Smoothing filter. |
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| SphericalHarmonics.LM
Implementation of an l,m-tupel. |
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| Vector2D
This class is the definition of a simple, two dimensional vector. |
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| Vector3D
This class is the definition of a simple, three dimensional vector. |
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| VectorFunction
A vector function takes an input VectorG and evaluates it to an
VectorG. |
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| VectorG
The definition of a N-dimensional vector. |
|
| Classes in vec_math used by stella.xml | |
|---|---|
| BooleanNode
A helper class taylored for using boolean variables. |
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| Vector2D
This class is the definition of a simple, two dimensional vector. |
|
| Classes in vec_math used by util | |
|---|---|
| Differentiator
This interface defines calculus of a differentiator. |
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| Integrator
This interface defines calculus of numerical integration. |
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| Vector2D
This class is the definition of a simple, two dimensional vector. |
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| VectorG
The definition of a N-dimensional vector. |
|
| Classes in vec_math used by util.rmi | |
|---|---|
| Variable
A model parameter has a name, a value and possibly an error and a unit. |
|
| VectorG
The definition of a N-dimensional vector. |
|
| Classes in vec_math used by vec_math | |
|---|---|
| AbstractAnalyser
Is a property container and does supply implementation of AbstractAnalyser.visualize(vec_math.VectorG[], vec_math.VectorG[]) and AbstractAnalyser.reset(). |
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| AbstractDataModel
An abstract data model is an implementation of a data model that allows the user to get access to the data it is constructed with. |
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| AbstractFit
Base class for model fitters. |
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| AbstractGradientModel
This class is designed to work together with the LevenbergMarquardt class. |
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| Amoeba
An amoeba is a simplex method for finding (local) minimas of a multi-dimensional function. |
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| Analyser
Similar to a VectorFunction, an analyser transforms input data to
output data. |
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| AssignedVariable
A simple named variable with error, name and unit. |
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| Bootstrap.ExchangedData
Helper class containing an exchanged data set. |
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| Bounded
A bounded variable has an upper and/or lower limit it cannot exceed. |
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| CentralMoments
Moments is a stastistic package that allows calculation of sample central moments of discrete samples. |
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| ClassicStatistic
Class to implement a simple statistic: Average is the arithmetic average, Deviation the standard deviation. |
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| Complex
A number representing a complex number. |
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| DataFileAnalyser
A data file reader that further specializes on data modelling. |
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| DataModel
A data model evaluates a data model for all measurements x for given model parameters. |
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| DataSink
A data sink acts as an rmi-server capable of handling data of a certain type issued to it via an RMI-call. |
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| Derivative
A function that also calculates it first derivative. |
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| Differentiator
This interface defines calculus of a differentiator. |
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| Ellipse
A tilted ellipse. |
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| ExpressionFit.AmoebaModel
A multidimensional that evaluates a function f given as a string like |
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| ExpressionNode
A node class for ExpressionParser. |
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| Extremum
Helper class to hold some type of (local) extremum in an indexed data set. |
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| Fourier
A suit of methods valuable in periodogram application. |
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| Fourier.AbstractFile
Class for command-line parsing. |
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| Function
The representation of a single-argument function. |
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| FunctionChangeCaster
Functions, Multidimensionals, VectorFunctions or similar objects that can be changed during theit existance may want to notify listening instances that their evaluation behaviour changed. |
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| FunctionChangeEvent
Functions might be instances of property change listeners, especially if used in a beans/gui context. |
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| FunctionChangeListener
A funtion change listener is interested on changes in the evalutaion behaviour of the function. |
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| GaussianLegendreIntegration
Class to calculate Gaussian-Legendre weights and abscissas for use in Gaussian quadrature (integration) in the classical form: |
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| GeneralLinearRegression
Base class for all general linear least square fits. |
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| GradientModel
A data model, where the data model can be differentiated with respect to its model parameters. |
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| HarmonicFit.HarmonicModel
Our data model. |
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| Histogram
A histrogram interface for describing intensity levels in an image by use of a histogram. |
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| ImageMoments.DualIndex
Helper class that combines to integer indices, both hermitian, to a single key. |
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| Integrator
This interface defines calculus of numerical integration. |
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| Inverse
An inverse function can calculate its argument from the function value. |
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| LinearPrediction
A class based on the linear prediction code given in |
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| LinearSmoothing
Base class for linear digital smoothing. |
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| Matrix
Class to provide basic matrix functions, like multiplication (matrix or scalar), addition, transposing... |
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| ModelFitting
Model fitting instances can fit measurements to a particular model. |
|
| Moments
Moments is a stastistic package that allows calculation of sample central moments of discrete samples. |
|
| Multidimensional
This interface describes a multi-dimensional functions. |
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| MultidimensionalDataModel
A multidimensional data model describes a data model for all measurements of an independant input vector x to a multidimensional measurement y of dependant variables. |
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| MultidimensionalInverse
Inverts a function defined in vector space. |
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| Node
A node in a parser scheme. |
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| Operator
An abstract definition of mathematical operators. |
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| PhaseRegression.PhaseModel
Our data model. |
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| Phasing
Calculates the phase out of the argument. |
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| polar2D
Extends the vector2D for capabilities to convert (x,y) into (r,phi). |
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| Polynom
A representation of a polynomial of the form |
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| Projection
A projection describes an object that converts multi-dimensional data into a point. |
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| QuadMatrix
Extension to the NxM matrix functions Matrix. |
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| RecursivePolynom
A recursive polynom, like Chebyshev or Legendre, are defined by a minimum and maximum of the parameter space plus the coefficients. |
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| SphericalHarmonics.LM
Implementation of an l,m-tupel. |
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| Statistic
Simple statistics package. |
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| Statistic.ValidArray
Container class to allow return of an array with only the first Statistic.ValidArray.validlength elements being valid. |
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| StringNode
A node that is parseable from a string. |
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| Variable
A model parameter has a name, a value and possibly an error and a unit. |
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| VariableDepending
Constant depending classes may implement this interface to signale that they need certain variables for proper functionality. |
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| vector
class providing simple vector operations. |
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| Vector1D
This class is the definition of a simple, one dimensional vector. |
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| vector2D
This class is the definition of a simple, two dimensional vector. |
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| Vector2D
This class is the definition of a simple, two dimensional vector. |
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| Vector3D
This class is the definition of a simple, three dimensional vector. |
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| VectorDifferentiable
A interface that defines multidimensional functions, VectorFunctions, that are also differentiable to a certain degree. |
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| VectorFunction
A vector function takes an input VectorG and evaluates it to an
VectorG. |
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| VectorG
The definition of a N-dimensional vector. |
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| VectorG.Metric
Interface for distance matching. |
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| WeightedStatistic
Abstract base class for statistic purpose. |
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| Classes in vec_math used by view | |
|---|---|
| VectorG
The definition of a N-dimensional vector. |
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