Uses of Interface
org.drip.spaces.metric.R1Normed
| Package | Description |
|---|---|
| org.drip.learning.kernel |
Statistical Learning Banach Mercer Kernels
|
| org.drip.learning.regularization |
Statistical Learning Empirical Loss Regularizer
|
| org.drip.spaces.functionclass |
Normed Finite Spaces Function Class
|
| org.drip.spaces.metric |
Hilbert/Banach Normed Metric Spaces
|
| org.drip.spaces.rxtor1 |
Rx To R1 Normed Function Spaces
|
| org.drip.spaces.rxtord |
Rx To Rd Normed Function Spaces
|
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Uses of R1Normed in org.drip.learning.kernel
Methods in org.drip.learning.kernel that return R1Normed Modifier and Type Method Description R1NormedIntegralOperatorEigenContainer. outputMetricVectorSpace()Retrieve the Eigen Output SpaceR1NormedSymmetricRdToNormedR1Kernel. outputMetricVectorSpace()Retrieve the Output R^1 Metric Vector SpaceR1NormedIntegralOperator. outputVectorMetricSpace()Retrieve the Kernel Integral Operator Output SpaceConstructors in org.drip.learning.kernel with parameters of type R1Normed Constructor Description IntegralOperator(SymmetricRdToNormedR1Kernel kernel, RdToR1 funcRdToR1, R1Normed r1OperatorOutput)IntegralOperator ConstructorSymmetricRdToNormedR1Kernel(RdNormed rdContinuousInput, R1Normed r1ContinuousOutput)SymmetricRdToNormedR1Kernel Constructor -
Uses of R1Normed in org.drip.learning.regularization
Methods in org.drip.learning.regularization with parameters of type R1Normed Modifier and Type Method Description static RegularizerR1ToR1RegularizerBuilder. ToR1Continuous(R1ToR1 funcRegularizerR1ToR1, R1Normed r1Input, R1Continuous r1ContinuousOutput, double dblLambda)Construct an Instance of R^1 Combinatorial/Continuous To R^1 Continuous Regularizer -
Uses of R1Normed in org.drip.spaces.functionclass
Methods in org.drip.spaces.functionclass that return R1Normed Modifier and Type Method Description R1NormedNormedRxToNormedR1Finite. outputMetricVectorSpace() -
Uses of R1Normed in org.drip.spaces.metric
Classes in org.drip.spaces.metric that implement R1Normed Modifier and Type Class Description classR1CombinatorialR1Combinatorial implements the Normed, Bounded/Unbounded Combinatorial lp Rd Spaces.classR1CombinatorialBallR1CombinatorialBall extends the Combinatorial R1 Banach Space by enforcing the Closed Bounded Metric.classR1ContinuousR1Continuous implements the Normed, Bounded/Unbounded Continuous lp R1 Spaces.classR1ContinuousBallR1ContinuousBall extends the Continuous R1 Banach Space by enforcing the Closed Bounded Metric. -
Uses of R1Normed in org.drip.spaces.rxtor1
Methods in org.drip.spaces.rxtor1 that return R1Normed Modifier and Type Method Description R1NormedNormedR1ToNormedR1. inputMetricVectorSpace()Retrieve the Input Metric Vector SpaceR1NormedNormedR1ToNormedR1. outputMetricVectorSpace()Retrieve the Output Metric Vector SpaceR1NormedNormedRdToNormedR1. outputMetricVectorSpace()Retrieve the Output Metric Vector Spaceabstract R1NormedNormedRxToNormedR1. outputMetricVectorSpace()Retrieve the Output Metric Vector Space -
Uses of R1Normed in org.drip.spaces.rxtord
Methods in org.drip.spaces.rxtord that return R1Normed Modifier and Type Method Description R1NormedNormedR1ToNormedRd. inputMetricVectorSpace()Retrieve the Input Metric Vector Space