Uses of Class org.hipparchus.analysis.differentiation.Gradient (Hipparchus 4.0.2 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	Description
`Gradient`	Gradient.`abs()`	absolute value.
`Gradient`	Gradient.`add(Gradient a)`	Compute this + a.
`Gradient`	Gradient.`atan2(Gradient x)`	Two arguments arc tangent operation.
`Gradient`	Gradient.`compose(double... f)`	Compute composition of the instance by a univariate function.
`Gradient`	Gradient.`compose(double f0, double f1)`	Compute composition of the instance by a univariate function differentiable at order 1.
`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.`divide(double a)`	'÷' operator.
`Gradient`	Gradient.`divide(Gradient a)`	Compute this ÷ a.
`Gradient`	Gradient.`getAddendum()`	Get the addendum to the real value of the number.
`Gradient`	GradientField.`getOne()`	Get the multiplicative identity of the field.
`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.`multiply(double a)`	'×' operator.
`Gradient`	Gradient.`multiply(int n)`	Compute n × this.
`Gradient`	Gradient.`multiply(Gradient a)`	Compute this × a.
`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(int n)`	Integer power operation.
`Gradient`	Gradient.`remainder(Gradient a)`	IEEE remainder operator.
`Gradient`	Gradient.`scalb(int n)`	Multiply the instance by a power of 2.
`Gradient`	Gradient.`stackVariable()`	Add an independent variable to the Taylor expansion.
`Gradient`	Gradient.`subtract(Gradient a)`	Compute this - a.
`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
`static Gradient`	Gradient.`variable(int freeParameters, int index, double value)`	Build a `Gradient` representing a variable.
`Gradient`	Gradient.`withValue(double v)`	Create a new object with new value (zeroth-order derivative, as passed as input) and same derivatives of order one and above.

Methods in org.hipparchus.analysis.differentiation that return types with arguments of type Gradient
Modifier and Type	Method	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 cosine operation.

Methods in org.hipparchus.analysis.differentiation with parameters of type Gradient
Modifier and Type	Method	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 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.`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