Package org.drip.function.e2erf
Class ErrorFunctionInverse
java.lang.Object
org.drip.function.definition.R1ToR1
org.drip.numerical.estimation.R1ToR1Estimator
org.drip.function.e2erf.ErrorFunctionInverse
public abstract class ErrorFunctionInverse extends R1ToR1Estimator
ErrorFunctionInverse implements the E2 erf Inverse erf-1. The References are:
- Abramowitz, M., and I. A. Stegun (2007): Handbook of Mathematics Functions Dover Book on Mathematics
- Chang, S. H., P. C. Cosman, L. B. Milstein (2011): Chernoff-Type Bounds for Gaussian Error Function IEEE Transactions on Communications 59 (11) 2939-2944
- Cody, W. J. (1991): Algorithm 715: SPECFUN – A Portable FORTRAN Package of Special Function Routines and Test Drivers ACM Transactions on Mathematical Software 19 (1) 22-32
- Schopf, H. M., and P. H. Supancic (2014): On Burmann’s Theorem and its Application to Problems of Linear and Non-linear Heat Transfer and Diffusion https://www.mathematica-journal.com/2014/11/on-burmanns-theorem-and-its-application-to-problems-of-linear-and-nonlinear-heat-transfer-and-diffusion/#more-39602/
- Wikipedia (2019): Error Function https://en.wikipedia.org/wiki/Error_function
- Module = Computational Core Module
- Library = Numerical Analysis Library
- Project = Rd To Rd Function Analysis
- Package = E2 erf and erf-1 Implementations
- Author:
- Lakshmi Krishnamurthy
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Method Summary
Modifier and Type Method Description doubleinverseCDF(double p)Compute the Inverse CDF Value for the given pstatic ErrorFunctionInverseMacLaurin(int termCount)Construct the Euler-MacLaurin Instance of the E2 erf Inversedoubleprobit(double p)Compute the Probit Value for the given pR1EstimateseriesEstimateNative(double x)Compute the Built-in Higher Order Series Estimatesstatic ErrorFunctionInverseWinitzki2008(double a)Construct Winitzki (2008) Version of the Analytical E2 erf Inversestatic ErrorFunctionInverseWinitzki2008a()Construct Winitzki (2008a) Version of the Analytical E2 erf Inversestatic ErrorFunctionInverseWinitzki2008b()Construct Winitzki (2008b) Version of the Analytical E2 erf InverseMethods inherited from class org.drip.numerical.estimation.R1ToR1Estimator
boundedEstimate, seriesEstimateMethods inherited from class org.drip.function.definition.R1ToR1
antiDerivative, conditionNumber, derivative, differential, differential, evaluate, integrate, maxima, maxima, minima, minima, poleResidueMethods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Method Details
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Winitzki2008
Construct Winitzki (2008) Version of the Analytical E2 erf Inverse- Parameters:
a- a- Returns:
- Winitzki (2008) Version of the Analytical E2 erf Inverse
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Winitzki2008a
Construct Winitzki (2008a) Version of the Analytical E2 erf Inverse- Returns:
- Winitzki (2008a) Version of the Analytical E2 erf Inverse
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Winitzki2008b
Construct Winitzki (2008b) Version of the Analytical E2 erf Inverse- Returns:
- Winitzki (2008b) Version of the Analytical E2 erf Inverse
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MacLaurin
Construct the Euler-MacLaurin Instance of the E2 erf Inverse- Parameters:
termCount- The Count of Approximation Terms- Returns:
- The Euler-MacLaurin Instance of the E2 erf Inverse
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seriesEstimateNative
Description copied from class:R1ToR1EstimatorCompute the Built-in Higher Order Series Estimates- Overrides:
seriesEstimateNativein classR1ToR1Estimator- Parameters:
x- X- Returns:
- The Built-in Higher Order Series Estimates
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probit
public double probit(double p) throws java.lang.ExceptionCompute the Probit Value for the given p- Parameters:
p- P- Returns:
- The Probit Value
- Throws:
java.lang.Exception- Thrown if the Inputs are Invalid
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inverseCDF
public double inverseCDF(double p) throws java.lang.ExceptionCompute the Inverse CDF Value for the given p- Parameters:
p- P- Returns:
- The Inverse CDF Value
- Throws:
java.lang.Exception- Thrown if the Inputs are Invalid
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