Uses of Class
org.drip.numerical.matrix.R1Square

Packages that use R1Square

Package	Description
org.drip.numerical.complex	Implementation of Complex Number Suite
org.drip.numerical.decomposition	Jordan Normal, UV, and QR Decompositions
org.drip.numerical.linearalgebra	Linear Algebra Matrix Transform Library
org.drip.numerical.matrix	Implementation of R1 C1 Matrices
org.drip.numerical.matrixnorm	Implementation of Matrix Norm Variants

Uses of R1Square in org.drip.numerical.complex

Methods in org.drip.numerical.complex with parameters of type R1Square

Modifier and Type	Method	Description
C1Square	C1Square.product(R1Square r1Square)	Compute the Product with the other Square Matrix

Uses of R1Square in org.drip.numerical.decomposition

Methods in org.drip.numerical.decomposition with parameters of type R1Square

Modifier and Type	Method	Description
UV	SingularValueDecomposer.decompose(R1Square r1Square)	Run a Singular Value Decomposition on a specified Matrix

Uses of R1Square in org.drip.numerical.linearalgebra

Methods in org.drip.numerical.linearalgebra that return R1Square

Modifier and Type	Method	Description
R1Square	GershgorinAnalyzer.squareMatrix()	Retrieve the Square Matrix
R1Square	SylvesterEquation.squareMatrixA()	Retrieve the "A" Square Matrix
R1Square	SylvesterEquation.squareMatrixB()	Retrieve the "B" Square Matrix
R1Square	GershgorinAnalyzer.Strengthen(double t)	Construct a "Gershgorin Strengthened" Square Matrix

Methods in org.drip.numerical.linearalgebra with parameters of type R1Square

Modifier and Type	Method	Description
static GershgorinAnalyzer	GershgorinAnalyzer.FromSquareMatrix(R1Square squareMatrix, boolean useRow)	Construct a GershgorinAnalyzer Instance from the SquareMatrix

Constructors in org.drip.numerical.linearalgebra with parameters of type R1Square

Constructor	Description
GershgorinAnalyzer(R1Square squareMatrix, R1ClosenessVerifier r1ClosenessVerifier)	GershgorinAnalyzer Constructor
SylvesterEquation(R1Square squareMatrixA, R1Square squareMatrixB)	SylvesterEquation Constructor

Uses of R1Square in org.drip.numerical.matrix

Subclasses of R1Square in org.drip.numerical.matrix

Modifier and Type	Class	Description
class	R1NonPeriodicTridiagonal	R1NonPeriodicTridiagonal implements a banded R1 Non-periodic Tridiagonal Matrix.
class	R1PeriodicTridiagonal	R1PeriodicTridiagonal implements a banded R1 Periodic Tridiagonal Matrix.
class	R1SquareEigenized	R1SquareEigenized implements an R1 Square Matrix with its Pre-computed Eigen-values and Eigen-vectors.
class	R1SquareRotation2x2	R1SquareRotation2x2 implements the 2x2 R1 Square Rotation Matrix parameterized by theta.
class	R1Triangular	R1Triangular implements the type and Functionality associated with an R1 Triangular Matrix.
class	R1Tridiagonal	R1Tridiagonal abstracts the R1 Tridiagonal Matrix based on Periodic/non-Periodic setup.

Methods in org.drip.numerical.matrix that return R1Square

Modifier and Type	Method	Description
R1Square	R1Square.add(R1Square squareMatrixOther)	Compute the Addition with the other Square Matrix
R1Square	R1Square.multiply(double[] r1Array)	Compute the Product with the Vector
R1Square	R1Square.multiply(R1Square squareMatrixOther)	Compute the Product with the other Square Matrix
R1Square	R1Square.power(int k)	Compute the kth Power
R1Square	R1Square.scale(double scale)	Scale the Square Matrix
static R1Square	R1Square.Standard(double[][] r1Grid)	Construct a Standard Instance of R1Square
R1Square	R1Square.subtract(R1Square squareMatrixOther)	Compute the Subtraction with the other Square Matrix
R1Square	R1Square.transpose()	Transpose the Square Matrix

Methods in org.drip.numerical.matrix with parameters of type R1Square

Modifier and Type	Method	Description
R1Square	R1Square.add(R1Square squareMatrixOther)	Compute the Addition with the other Square Matrix
R1Square	R1Square.multiply(R1Square squareMatrixOther)	Compute the Product with the other Square Matrix
R1Square	R1Square.subtract(R1Square squareMatrixOther)	Compute the Subtraction with the other Square Matrix

Uses of R1Square in org.drip.numerical.matrixnorm

Methods in org.drip.numerical.matrixnorm with parameters of type R1Square

Modifier and Type	Method	Description
double	DoubleVectorOneTwoEvaluator.norm(R1Square r1Square)	Compute the Norm of the R1Square Matrix
double	DoubleVectorTwoInfinityEvaluator.norm(R1Square r1Square)	Compute the Norm of the R1Square Matrix
double	EntryWiseEvaluator.norm(R1Square r1Square)	Compute the Norm of the R1Square Matrix
double	FrobeniusEvaluator.norm(R1Square r1Square)	Compute the Norm of the R1 Square Matrix
double	Gamma2Evaluator.norm(R1Square r1Square)	Compute the Max Norm of the R1 Square Matrix
double	MaxInfinityInfinityEvaluator.norm(R1Square r1Square)	Compute the Max Norm of the R1 Square Matrix
abstract double	R1SquareEvaluator.norm(R1Square r1Square)	Compute the Norm of the R1Square Matrix
double	SingleVectorNorm1Evaluator.norm(R1Square r1Square)	Compute the Norm of the R1Square Matrix
double	SingleVectorNorm2Evaluator.norm(R1Square r1Square)	Compute the Norm of the R1Square Matrix
double	SingleVectorNormInfinityEvaluator.norm(R1Square r1Square)	Compute the Norm of the R1Square Matrix
double	FrobeniusEvaluator.svdNorm(R1Square r1Square)	Compute the SVD-based Norm of the R1 Square Matrix
double	FrobeniusEvaluator.traceNorm(R1Square r1Square)	Compute the Trace-based Norm of the R1 Square Matrix
R1SquareConsistencyValidator	R1SquareEvaluator.validator(R1Square a, R1Square b, double[] v, double alpha, int p)	Construct a Norm Consistency Validator for the Suite of Inputs