Uses of Class
lib.easyjava.math.function.UnivariatePolynomialFunction

Packages that use UnivariatePolynomialFunction

Package	Description
lib.easyjava.math.function
lib.easyjava.math.stat

Uses of UnivariatePolynomialFunction in lib.easyjava.math.function

Methods in lib.easyjava.math.function that return UnivariatePolynomialFunction

Modifier and Type	Method and Description
UnivariatePolynomialFunction	UnivariatePolynomialFunction.derivative()
UnivariatePolynomialFunction	UnivariatePolynomialFunction.integral()
UnivariatePolynomialFunction	UnivariatePolynomialFunction.minus(UnivariatePolynomialFunction f) Subtracts the provided function from this one
UnivariatePolynomialFunction	UnivariatePolynomialFunction.opposite() Reverses the sign of this function
UnivariatePolynomialFunction	UnivariatePolynomialFunction.plus(UnivariatePolynomialFunction f) Adds the provided function to this one
UnivariatePolynomialFunction	UnivariatePolynomialFunction.times(UnivariatePolynomialFunction f) Multiplies the given function with this one

Methods in lib.easyjava.math.function with parameters of type UnivariatePolynomialFunction

Modifier and Type	Method and Description
UnivariatePolynomialFunction	UnivariatePolynomialFunction.minus(UnivariatePolynomialFunction f) Subtracts the provided function from this one
UnivariatePolynomialFunction	UnivariatePolynomialFunction.plus(UnivariatePolynomialFunction f) Adds the provided function to this one
UnivariatePolynomialFunction	UnivariatePolynomialFunction.times(UnivariatePolynomialFunction f) Multiplies the given function with this one

Uses of UnivariatePolynomialFunction in lib.easyjava.math.stat

Methods in lib.easyjava.math.stat that return UnivariatePolynomialFunction

Modifier and Type	Method and Description
UnivariatePolynomialFunction	SimpleLinearRegressor.regress() Performs the regression, producing a function representing the least-squares linear approximation of the data.
static UnivariatePolynomialFunction	SimpleLinearRegressor.regress(double[] xValues, double[] yValues) Performs regression on the provided data, producing a function representing the least-squares linear approximation of the data.