Class R1SquareEvaluator

java.lang.Object
org.drip.numerical.matrixnorm.R1SquareEvaluator
Direct Known Subclasses:
DoubleVectorNormEvaluator, EntryWiseEvaluator, SingleVectorNormEvaluator

public abstract class R1SquareEvaluator
extends java.lang.Object
R1SquareEvaluator exposes the Norm of a R1Square 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




Author:
Lakshmi Krishnamurthy
  • Constructor Summary

    Constructors
    Constructor Description
    R1SquareEvaluator()  
  • Method Summary

    Modifier and Type Method Description
    abstract double norm​(R1Square r1Square)
    Compute the Norm of the R1Square Matrix
    R1SquareConsistencyValidator validator​(R1Square a, R1Square b, double[] v, double alpha, int p)
    Construct a Norm Consistency Validator for the Suite of Inputs

    Methods inherited from class java.lang.Object

    equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
  • Constructor Details

    • R1SquareEvaluator

      public R1SquareEvaluator()
  • Method Details

    • norm

      public abstract double norm​(R1Square r1Square) throws java.lang.Exception
      Compute the Norm of the R1Square Matrix
      Parameters:
      r1Square - R1Square Matrix
      Returns:
      Norm of the R1Square Matrix
      Throws:
      java.lang.Exception
    • validator

      public R1SquareConsistencyValidator validator​(R1Square a, R1Square b, double[] v, double alpha, int p)
      Construct a Norm Consistency Validator for the Suite of Inputs
      Parameters:
      a - Matrix A
      b - Matrix B
      v - Vector V
      alpha - Alpha Scale
      p - Vector Norm Index
      Returns:
      The Norm Consistency Validator