Package org.drip.numerical.matrixnorm
Class Gamma2Evaluator
java.lang.Object
org.drip.numerical.matrixnorm.R1SquareEvaluator
org.drip.numerical.matrixnorm.EntryWiseEvaluator
org.drip.numerical.matrixnorm.MaxInfinityInfinityEvaluator
org.drip.numerical.matrixnorm.Gamma2Evaluator
public class Gamma2Evaluator extends MaxInfinityInfinityEvaluator
Gamma2Evaluator computes the Max Norm variant of the Gamma2 Evaluator of the
R1 Square Matrix. The References are:
- Alon, N., and A. Naor (2004): Approximating the Cut-norm via Grothendieck Inequality Proceedings of the 36th Annual ACM Symposium on Theory of Computing STOC’04 ACM Chicago IL
- Golub, G. H., and C. F. van Loan (1996): Matrix Computations 3rd Edition Johns Hopkins University Press Baltimore MD
- Horn, R. A., and C. R. Johnson (2013): Matrix Analysis 2nd Edition Cambridge University Press Cambridge UK
- Lazslo, L. (2012): Large Networks and Graph Limits American Mathematical Society Providence RI
- Wikipedia (2024): Matrix Norm https://en.wikipedia.org/wiki/Matrix_norm
- Module = Computational Core Module
- Library = Numerical Analysis Library
- Project = Numerical Quadrature, Differentiation, Eigenization, Linear Algebra, and Utilities
- Package = Implementation of Matrix Norm Variants
- Author:
- Lakshmi Krishnamurthy
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Constructor Summary
Constructors Constructor Description Gamma2Evaluator()
Gamma2Evaluator Constructor -
Method Summary
Modifier and Type Method Description double
norm(R1Square r1Square)
Compute the Max Norm of the R1 Square MatrixSingularValueDecomposer
singularValueDecomposer()
Retrieve the SingularValueDecomposer InstanceMethods inherited from class org.drip.numerical.matrixnorm.EntryWiseEvaluator
L2_1, Lp_p, p, q
Methods inherited from class org.drip.numerical.matrixnorm.R1SquareEvaluator
validator
Methods 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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Gamma2Evaluator
public Gamma2Evaluator() throws java.lang.ExceptionGamma2Evaluator Constructor- Throws:
java.lang.Exception
- Thrown if the Inputs are Invalid
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Method Details
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singularValueDecomposer
Retrieve the SingularValueDecomposer Instance- Returns:
- The SingularValueDecomposer Instance
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norm
Compute the Max Norm of the R1 Square Matrix- Overrides:
norm
in classMaxInfinityInfinityEvaluator
- Parameters:
r1Square
- R1 Square Matrix- Returns:
- Max Norm of the R1 Square Matrix
- Throws:
java.lang.Exception
- Thrown if the Norm cannot be calculated
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