## Uses of Interfacegov.sandia.cognition.learning.algorithm.root.RootFinder

Packages that use RootFinder
gov.sandia.cognition.learning.algorithm.root Provides algorithms for finding the roots, or zero crossings, of scalar functions.
gov.sandia.cognition.statistics.method Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods.

Classes in gov.sandia.cognition.learning.algorithm.root that implement RootFinder
` class` `AbstractBracketedRootFinder`
Partial implementation of RootFinder that maintains a bracket on the root.
` class` `AbstractRootFinder`
Partial implementation of RootFinder.
` class` `MinimizerBasedRootFinder`
A root finder that uses minimization techniques to find the roots (zero-crossings).
` class` `RootFinderBisectionMethod`
Bisection algorithm for root finding.
` class` `RootFinderFalsePositionMethod`
The false-position algorithm for root finding.
` class` `RootFinderNewtonsMethod`
Newton's method, sometimes called Newton-Raphson method, uses first-order derivative information to iteratively locate a root.
` class` `RootFinderRiddersMethod`
The root-finding algorithm due to Ridders.
` class` `RootFinderSecantMethod`
The secant algorithm for root finding.

Uses of RootFinder in gov.sandia.cognition.statistics.method

Fields in gov.sandia.cognition.statistics.method declared as RootFinder
`static RootFinder` `InverseTransformSampling.DEFAULT_ROOT_FINDER`
Default root finding method for the algorithm, RootFinderRiddersMethod.

Methods in gov.sandia.cognition.statistics.method with parameters of type RootFinder
`static InputOutputPair<Double,Double>` ```InverseTransformSampling.inverseRootFinder(RootFinder rootFinder, CumulativeDistributionFunction<Double> cdf, double p)```
Inverts the given CDF, finding the value of "x" so that CDF(x)=p using a root-finding algorithm.