Uses of Class
org.drip.learning.kernel.SymmetricRdToNormedR1Kernel

Packages that use SymmetricRdToNormedR1Kernel

Package	Description
org.drip.learning.kernel	Statistical Learning Banach Mercer Kernels

Uses of SymmetricRdToNormedR1Kernel in org.drip.learning.kernel

Subclasses of SymmetricRdToNormedR1Kernel in org.drip.learning.kernel

Modifier and Type	Class	Description
class	MercerKernel	MercerKernel exposes the Functionality behind the Eigenized Kernel that is Normed Rx X Normed Rx To Supremum R1 The References are: Ash, R.

Methods in org.drip.learning.kernel that return SymmetricRdToNormedR1Kernel

Modifier and Type	Method	Description
SymmetricRdToNormedR1Kernel	IntegralOperator.kernel()	Retrieve the Symmetric R^d To R^1 Kernel

Constructors in org.drip.learning.kernel with parameters of type SymmetricRdToNormedR1Kernel

Constructor	Description
IntegralOperator(SymmetricRdToNormedR1Kernel kernel, RdToR1 funcRdToR1, R1Normed r1OperatorOutput)	IntegralOperator Constructor