Uses of Class org.hipparchus.analysis.differentiation.Gradient (Hipparchus 2.1 API)

Packages that use Gradient
Package	Description
org.hipparchus.analysis.differentiation	This package holds the main interfaces and basic building block classes dealing with differentiation.

Uses of Gradient in org.hipparchus.analysis.differentiation

Methods in org.hipparchus.analysis.differentiation that return Gradient
Modifier and Type	Method and Description
`Gradient`	Gradient.`abs()` absolute value.
`Gradient`	Gradient.`acos()` Arc cosine operation.
`Gradient`	Gradient.`acosh()` Inverse hyperbolic cosine operation.
`Gradient`	Gradient.`add(double a)` '+' operator.
`Gradient`	Gradient.`add(Gradient a)` Compute this + a.
`Gradient`	Gradient.`asin()` Arc sine operation.
`Gradient`	Gradient.`asinh()` Inverse hyperbolic sine operation.
`Gradient`	Gradient.`atan()` Arc tangent operation.
`Gradient`	Gradient.`atan2(Gradient x)` Two arguments arc tangent operation.
`Gradient`	Gradient.`atanh()` Inverse hyperbolic tangent operation.
`Gradient`	Gradient.`cbrt()` Cubic root.
`Gradient`	Gradient.`ceil()` Get the smallest whole number larger than instance.
`Gradient`	Gradient.`compose(double... f)` Compute composition of the instance by a univariate function.
`static Gradient`	Gradient.`constant(int freeParameters, double value)` Build an instance corresponding to a constant value.
`Gradient`	Gradient.`copySign(double sign)` Returns the instance with the sign of the argument.
`Gradient`	Gradient.`copySign(Gradient sign)` Returns the instance with the sign of the argument.
`Gradient`	Gradient.`cos()` Cosine operation.
`Gradient`	Gradient.`cosh()` Hyperbolic cosine operation.
`Gradient`	Gradient.`divide(double a)` '÷' operator.
`Gradient`	Gradient.`divide(Gradient a)` Compute this ÷ a.
`Gradient`	Gradient.`exp()` Exponential.
`Gradient`	Gradient.`expm1()` Exponential minus 1.
`Gradient`	Gradient.`floor()` Get the largest whole number smaller than instance.
`Gradient`	GradientField.`getOne()` Get the multiplicative identity of the field.
`Gradient`	Gradient.`getPi()` Get the Archimedes constant π.
`Gradient`	GradientField.`getZero()` Get the additive identity of the field.
`Gradient`	Gradient.`hypot(Gradient y)` Returns the hypotenuse of a triangle with sides `this` and `y` - sqrt(this² +y²) avoiding intermediate overflow or underflow.
`Gradient`	Gradient.`linearCombination(double[] a, Gradient[] b)` Compute a linear combination.
`Gradient`	Gradient.`linearCombination(double a1, Gradient b1, double a2, Gradient b2)` Compute a linear combination.
`Gradient`	Gradient.`linearCombination(double a1, Gradient b1, double a2, Gradient b2, double a3, Gradient b3)` Compute a linear combination.
`Gradient`	Gradient.`linearCombination(double a1, Gradient b1, double a2, Gradient b2, double a3, Gradient b3, double a4, Gradient b4)` Compute a linear combination.
`Gradient`	Gradient.`linearCombination(Gradient[] a, Gradient[] b)` Compute a linear combination.
`Gradient`	Gradient.`linearCombination(Gradient a1, Gradient b1, Gradient a2, Gradient b2)` Compute a linear combination.
`Gradient`	Gradient.`linearCombination(Gradient a1, Gradient b1, Gradient a2, Gradient b2, Gradient a3, Gradient b3)` Compute a linear combination.
`Gradient`	Gradient.`linearCombination(Gradient a1, Gradient b1, Gradient a2, Gradient b2, Gradient a3, Gradient b3, Gradient a4, Gradient b4)` Compute a linear combination.
`Gradient`	Gradient.`log()` Natural logarithm.
`Gradient`	Gradient.`log10()` Base 10 logarithm.
`Gradient`	Gradient.`log1p()` Shifted natural logarithm.
`Gradient`	Gradient.`multiply(double a)` '×' operator.
`Gradient`	Gradient.`multiply(Gradient a)` Compute this × a.
`Gradient`	Gradient.`multiply(int n)` Compute n × this.
`Gradient`	Gradient.`negate()` Returns the additive inverse of `this` element.
`Gradient`	Gradient.`newInstance(double c)` Create an instance corresponding to a constant real value.
`Gradient`	Gradient.`pow(double p)` Power operation.
`static Gradient`	Gradient.`pow(double a, Gradient x)` Compute a^x where a is a double and x a `Gradient`
`Gradient`	Gradient.`pow(Gradient e)` Power operation.
`Gradient`	Gradient.`pow(int n)` Integer power operation.
`Gradient`	Gradient.`reciprocal()` Returns the multiplicative inverse of `this` element.
`Gradient`	Gradient.`remainder(double a)` IEEE remainder operator.
`Gradient`	Gradient.`remainder(Gradient a)` IEEE remainder operator.
`Gradient`	Gradient.`rint()` Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
`Gradient`	Gradient.`rootN(int n)` N^th root.
`Gradient`	Gradient.`scalb(int n)` Multiply the instance by a power of 2.
`Gradient`	Gradient.`sign()` Compute the sign of the instance.
`Gradient`	Gradient.`sin()` Sine operation.
`Gradient`	Gradient.`sinh()` Hyperbolic sine operation.
`Gradient`	Gradient.`sqrt()` Square root.
`Gradient`	Gradient.`subtract(double a)` '-' operator.
`Gradient`	Gradient.`subtract(Gradient a)` Compute this - a.
`Gradient`	Gradient.`tan()` Tangent operation.
`Gradient`	Gradient.`tanh()` Hyperbolic tangent operation.
`Gradient`	Gradient.`toDegrees()` Convert radians to degrees, with error of less than 0.5 ULP
`Gradient`	Gradient.`toRadians()` Convert degrees to radians, with error of less than 0.5 ULP
`Gradient`	Gradient.`ulp()` Compute least significant bit (Unit in Last Position) for a number.
`static Gradient`	Gradient.`variable(int freeParameters, int index, double value)` Build a `Gradient` representing a variable.

Methods in org.hipparchus.analysis.differentiation that return types with arguments of type Gradient
Modifier and Type	Method and Description
`Class<Gradient>`	GradientField.`getRuntimeClass()` Returns the runtime class of the FieldElement.
`FieldSinCos<Gradient>`	Gradient.`sinCos()` Combined Sine and Cosine operation.
`FieldSinhCosh<Gradient>`	Gradient.`sinhCosh()` Combined hyperbolic sine and sosine operation.

Methods in org.hipparchus.analysis.differentiation with parameters of type Gradient
Modifier and Type	Method and Description
`Gradient`	Gradient.`add(Gradient a)` Compute this + a.
`Gradient`	Gradient.`atan2(Gradient x)` Two arguments arc tangent operation.
`Gradient`	Gradient.`copySign(Gradient sign)` Returns the instance with the sign of the argument.
`Gradient`	Gradient.`divide(Gradient a)` Compute this ÷ a.
`Gradient`	Gradient.`hypot(Gradient y)` Returns the hypotenuse of a triangle with sides `this` and `y` - sqrt(this² +y²) avoiding intermediate overflow or underflow.
`Gradient`	Gradient.`linearCombination(double[] a, Gradient[] b)` Compute a linear combination.
`Gradient`	Gradient.`linearCombination(double a1, Gradient b1, double a2, Gradient b2)` Compute a linear combination.
`Gradient`	Gradient.`linearCombination(double a1, Gradient b1, double a2, Gradient b2, double a3, Gradient b3)` Compute a linear combination.
`Gradient`	Gradient.`linearCombination(double a1, Gradient b1, double a2, Gradient b2, double a3, Gradient b3, double a4, Gradient b4)` Compute a linear combination.
`Gradient`	Gradient.`linearCombination(Gradient[] a, Gradient[] b)` Compute a linear combination.
`Gradient`	Gradient.`linearCombination(Gradient[] a, Gradient[] b)` Compute a linear combination.
`Gradient`	Gradient.`linearCombination(Gradient a1, Gradient b1, Gradient a2, Gradient b2)` Compute a linear combination.
`Gradient`	Gradient.`linearCombination(Gradient a1, Gradient b1, Gradient a2, Gradient b2, Gradient a3, Gradient b3)` Compute a linear combination.
`Gradient`	Gradient.`linearCombination(Gradient a1, Gradient b1, Gradient a2, Gradient b2, Gradient a3, Gradient b3, Gradient a4, Gradient b4)` Compute a linear combination.
`Gradient`	Gradient.`multiply(Gradient a)` Compute this × a.
`static Gradient`	Gradient.`pow(double a, Gradient x)` Compute a^x where a is a double and x a `Gradient`
`Gradient`	Gradient.`pow(Gradient e)` Power operation.
`Gradient`	Gradient.`remainder(Gradient a)` IEEE remainder operator.
`Gradient`	Gradient.`subtract(Gradient a)` Compute this - a.

Uses of Classorg.hipparchus.analysis.differentiation.Gradient

Uses of Gradient in org.hipparchus.analysis.differentiation

Uses of Class
org.hipparchus.analysis.differentiation.Gradient