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

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 ax 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 ax 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.