Package org.drip.spaces.metric

Class RdContinuousHilbert

java.lang.Object

org.drip.spaces.tensor.RdAggregate

org.drip.spaces.tensor.RdContinuousVector

org.drip.spaces.metric.RdContinuousBanach

org.drip.spaces.metric.RdContinuousHilbert

All Implemented Interfaces:

GeneralizedMetricVectorSpace, RdNormed, GeneralizedVector, RdGeneralizedVector

public class RdContinuousHilbert
extends RdContinuousBanach

RdContinuousHilbert implements the Bounded/Unbounded, Continuous l₂ R^d Spaces. The Reference we've used is:

• Carl, B., and I. Stephani (1990): Entropy, Compactness, and the Approximation of Operators Cambridge University Press Cambridge UK

• Module = Computational Core Module
• Library = Statistical Learning Library
• Project = R¹ and R^d Vector/Tensor Spaces (Validated and/or Normed), and Function Classes
• Package = Hilbert/Banach Normed Metric Spaces

Author:

Lakshmi Krishnamurthy

Constructor Summary

Constructors

Constructor	Description
RdContinuousHilbert(R1ContinuousVector[] aR1CV, Rd distRd)	RdContinuousHilbert Space Constructor

Method Summary

Modifier and Type	Method	Description
double	sampleMetricNorm(double[] adblX)	Compute the Metric Norm of the Sample
static RdContinuousHilbert	StandardHilbert(int iDimension, Rd distRd)	Construct the Standard l^2 R^d Hilbert Space Instance

Methods inherited from class org.drip.spaces.metric.RdContinuousBanach

borelMeasureSpaceExpectation, borelSigmaMeasure, pNorm, populationMetricNorm, populationMode, populationSupremumNorm, sampleSupremumNorm, StandardBanach, SupremumBanach

Methods inherited from class org.drip.spaces.tensor.RdContinuousVector

cardinality, hyperVolume, leftDimensionEdge, leftEdge, rightDimensionEdge, rightEdge, Standard

Methods inherited from class org.drip.spaces.tensor.RdAggregate

dimension, isPredictorBounded, match, subset, validateInstance, vectorSpaces

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.drip.spaces.tensor.GeneralizedVector

cardinality, hyperVolume, isPredictorBounded, leftEdge, match, rightEdge, subset

Methods inherited from interface org.drip.spaces.tensor.RdGeneralizedVector

dimension, leftDimensionEdge, rightDimensionEdge, validateInstance, vectorSpaces

Constructor Details

RdContinuousHilbert

public RdContinuousHilbert(R1ContinuousVector[] aR1CV,
Rd distRd)
                    throws java.lang.Exception

RdContinuousHilbert Space Constructor

Parameters:

aR1CV - Array of R^1 Continuous Vector Spaces

distRd - The Multivariate Borel Sigma Measure

Throws:

java.lang.Exception - Thrown if the Inputs are Invalid

Method Details

StandardHilbert

public static final RdContinuousHilbert StandardHilbert(int iDimension,
Rd distRd)

Construct the Standard l^2 R^d Hilbert Space Instance

Parameters:

iDimension - The Space Dimension

distRd - The R^d Borel Sigma Measure

Returns:

The Standard l^2 R^d Hilbert Space Instance

sampleMetricNorm

public double sampleMetricNorm(double[] adblX)
                        throws java.lang.Exception

Description copied from interface: RdNormed

Compute the Metric Norm of the Sample

Specified by:

sampleMetricNorm in interface RdNormed

Overrides:

sampleMetricNorm in class RdContinuousBanach

Parameters:

adblX - The Sample

Returns:

The Metric Norm of the Sample

Throws:

java.lang.Exception - Thrown if the Inputs are Invalid