Package | Description |
---|---|
org.drip.learning.rxtor1 | |
org.drip.sequence.custom |
Modifier and Type | Class and Description |
---|---|
class |
EmpiricalPenaltySupremumEstimator
EmpiricalPenaltySupremumEstimator contains the Implementation of the Empirical Penalty Supremum Estimator
dependent on Multivariate Random Variables where the Multivariate Function is a Linear Combination of
Bounded Univariate Functions acting on each Random Variate.
|
Modifier and Type | Class and Description |
---|---|
class |
GlivenkoCantelliUniformDeviation
GlivenkoCantelliUniformDeviation contains the Implementation of the Bounded Objective Function dependent
on Multivariate Random Variables where the Multivariate Function is a Linear Combination of Bounded
Univariate Functions acting on each Random Variate.
|
class |
KernelDensityEstimationL1
KernelDensityEstimationL1 implements the L1 Error Scheme Estimation for a Multivariate Kernel Density
Estimator with Focus on establishing targeted Variate-Specific and Agnostic Bounds.
|
class |
LongestCommonSubsequence
LongestCommonSubsequence contains Variance Bounds on the Critical Measures of the Longest Common
Subsequence between two Strings.
|
class |
OrientedPercolationFirstPassage
OrientedPercolationFirstPassage contains Variance Bounds on the Critical Measures of the Standard Problem
of First Passage Time in Oriented Percolation.
|
Modifier and Type | Method and Description |
---|---|
static BoundedMultivariateRandom |
BinPacking.MinimumNumberOfBins() |