Package org.drip.function.matrix
Class FrobeniusCovariance
java.lang.Object
org.drip.function.matrix.FrobeniusCovariance
public class FrobeniusCovariance
extends java.lang.Object
FrobeniusCovariance implements the Frobenius Co-variance of a Square Matrix, which corresponds to
the Projection Shadows of Lagrange Polynomials of the Square Matrix. The References are:
- Claerbout, J. F. (1985): Fundamentals of Geo-physical Data Processing Blackwell Scientific
- Horn, R. A., and C. R. Johnson (1991): Topics in Matrix Analysis Cambridge University Press
- Schwerdtfeger, A. (1938): Les Fonctions de Matrices: Les Fonctions Univalentes I Hermann Paris, France
- Sylvester, J. J. (1883): On the Equation to the Secular Inequalities in the Planetary Theory The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science 16 (100) 267-269
- Wikipedia (2019): Sylvester Formula https://en.wikipedia.org/wiki/Sylvester%27s_formula
- Module = Computational Core Module
- Library = Numerical Analysis Library
- Project = Rd To Rd Function Analysis
- Package = Support for Functions of Matrices
- Author:
- Lakshmi Krishnamurthy
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Constructor Summary
Constructors Constructor Description FrobeniusCovariance()
Empty FrobeniusCovariance Constructor -
Method Summary
Modifier and Type Method Description boolean
addComponent(double eigenValue, Square component)
Add a Frobenius Componentjava.util.Map<java.lang.Double,Square>
componentMap()
Retrieve the Map of Frobenius ComponentsMethods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Constructor Details
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FrobeniusCovariance
public FrobeniusCovariance()Empty FrobeniusCovariance Constructor
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Method Details
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addComponent
Add a Frobenius Component- Parameters:
eigenValue
- The Frobenius Component EigenValuecomponent
- The Frobenius Component- Returns:
- TRUE - The Frobenius Component successfully added
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componentMap
Retrieve the Map of Frobenius Components- Returns:
- Map of Frobenius Components
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