Uses of Class
nilgiri.math.autodiff.DifferentialFunction

Packages that use DifferentialFunction

nilgiri.math.autodiff

Provides interfaces and classes to compute derivatives of functions algebraically (automatic differentiation).

Uses of DifferentialFunction in nilgiri.math.autodiff

Subclasses of DifferentialFunction in nilgiri.math.autodiff

class	AbstractBinaryFunction<X extends Field<X>> An abstract function requires two arguments in X.
class	AbstractUnaryFunction<X extends Field<X>> An abstract function requires one argument in X.
class	Constant<X extends Field<X>> A constant in X forms a field.
class	Inverse<X extends Field<X>> This class represents the inverse element of an argument in X with respect to multiplication.
class	Negative<X extends Field<X>> This class represents the inverse element of an argument in X with respect to addition.
class	One<X extends Field<X>> This class represents the unit element of X forms a field.
class	PolynomialTerm<X extends Field<X>>
class	Product<X extends Field<X>> A product of two objects of DifferentialFunction<X&rt.
class	Sum<X extends Field<X>> A sum of two objects of DifferentialFunction<X>.
class	Variable<X extends Field<X>> Variables in X forms a field.
class	Zero<X extends Field<X>> This class represents the zero element of X forms a field.

Methods in nilgiri.math.autodiff that return DifferentialFunction

DifferentialFunction<X>	AbstractUnaryFunction.arg() Returns the argument of this function.
DifferentialFunction<X>	DifferentialRealFunctionFactory.cos(DifferentialFunction<X> i_x)
DifferentialFunction<X>	Sum.diff(Variable<X> i_v1)
DifferentialFunction<X>	Product.diff(Variable<X> i_v1)
DifferentialFunction<X>	PolynomialTerm.diff(Variable<X> i_v)
DifferentialFunction<X>	Negative.diff(Variable<X> i_v)
DifferentialFunction<X>	Inverse.diff(Variable<X> i_v)
abstract DifferentialFunction<X>	DifferentialFunction.diff(Variable<X> i_v1)
DifferentialFunction<X>	Constant.diff(Variable<X> i_v)
DifferentialFunction<X>	DifferentialFunction.div(DifferentialFunction<X> i_v)
DifferentialFunction<X>	DifferentialRealFunctionFactory.exp(DifferentialFunction<X> i_x)
DifferentialFunction<X>	Zero.inverse()
DifferentialFunction<X>	PolynomialTerm.inverse()
DifferentialFunction<X>	Inverse.inverse()
DifferentialFunction<X>	DifferentialFunction.inverse()
DifferentialFunction<X>	Constant.inverse()
DifferentialFunction<X>	AbstractBinaryFunction.larg() Returns the 1st (left) argument of this function.
DifferentialFunction<X>	DifferentialRealFunctionFactory.log(DifferentialFunction<X> i_x)
DifferentialFunction<X>	DifferentialFunction.minus(DifferentialFunction<X> i_v)
DifferentialFunction<X>	Zero.mul(DifferentialFunction<X> i_v)
DifferentialFunction<X>	One.mul(DifferentialFunction<X> i_v)
DifferentialFunction<X>	DifferentialFunction.mul(DifferentialFunction<X> i_v)
DifferentialFunction<X>	DifferentialFunction.mul(long i_n)
DifferentialFunction<X>	Zero.negate()
DifferentialFunction<X>	PolynomialTerm.negate()
DifferentialFunction<X>	Negative.negate()
DifferentialFunction<X>	DifferentialFunction.negate()
DifferentialFunction<X>	Constant.negate()
DifferentialFunction<X>	DifferentialRealFunctionFactory.one()
DifferentialFunction<X>	Zero.plus(DifferentialFunction<X> i_v)
DifferentialFunction<X>	DifferentialFunction.plus(DifferentialFunction<X> i_v)
DifferentialFunction<X>	DifferentialRealFunctionFactory.pow(DifferentialFunction<X> i_x, Constant<X> i_y)
DifferentialFunction<X>	DifferentialFunction.pow(int i_n)
DifferentialFunction<X>	AbstractBinaryFunction.rarg() Returns the 2nd (right) argument of this function.
DifferentialFunction<X>	DifferentialRealFunctionFactory.sin(DifferentialFunction<X> i_x)
DifferentialFunction<X>	DifferentialRealFunctionFactory.tan(DifferentialFunction<X> i_x)
DifferentialFunction<X>	DifferentialRealFunctionFactory.zero()

Methods in nilgiri.math.autodiff with parameters of type DifferentialFunction

DifferentialFunction<X>	DifferentialRealFunctionFactory.cos(DifferentialFunction<X> i_x)
DifferentialFunction<X>	DifferentialFunction.div(DifferentialFunction<X> i_v)
DifferentialFunction<X>	DifferentialRealFunctionFactory.exp(DifferentialFunction<X> i_x)
DifferentialFunction<X>	DifferentialRealFunctionFactory.log(DifferentialFunction<X> i_x)
DifferentialFunction<X>	DifferentialFunction.minus(DifferentialFunction<X> i_v)
DifferentialFunction<X>	Zero.mul(DifferentialFunction<X> i_v)
DifferentialFunction<X>	One.mul(DifferentialFunction<X> i_v)
DifferentialFunction<X>	DifferentialFunction.mul(DifferentialFunction<X> i_v)
DifferentialFunction<X>	Zero.plus(DifferentialFunction<X> i_v)
DifferentialFunction<X>	DifferentialFunction.plus(DifferentialFunction<X> i_v)
DifferentialFunction<X>	DifferentialRealFunctionFactory.pow(DifferentialFunction<X> i_x, Constant<X> i_y)
DifferentialFunction<X>	DifferentialRealFunctionFactory.sin(DifferentialFunction<X> i_x)
DifferentialFunction<X>	DifferentialRealFunctionFactory.tan(DifferentialFunction<X> i_x)

Constructors in nilgiri.math.autodiff with parameters of type DifferentialFunction

AbstractBinaryFunction(DifferentialFunction<X> i_v1, DifferentialFunction<X> i_v2)
Constructs a new AbstractBinaryFunction.

AbstractBinaryFunction(DifferentialFunction<X> i_v1, DifferentialFunction<X> i_v2)
Constructs a new AbstractBinaryFunction.

AbstractUnaryFunction(DifferentialFunction<X> i_v)
Constructs a new AbstractUnaryFunction.

Inverse(DifferentialFunction<X> i_v)
Constructs an object whose value is (1 / i_v).

Negative(DifferentialFunction<X> i_v)
Constructs an object whose value is (- i_v).

PolynomialTerm(long i_scale, DifferentialFunction<X> i_v, int i_exponent)

Product(DifferentialFunction<X> i_v1, DifferentialFunction<X> i_v2)
Constructs an object whose value is (i_v1 * i_v2)

Product(DifferentialFunction<X> i_v1, DifferentialFunction<X> i_v2)
Constructs an object whose value is (i_v1 * i_v2)

Sum(DifferentialFunction<X> i_v1, DifferentialFunction<X> i_v2)
Constructs an object whose value is (i_v1 + i_v2)

Sum(DifferentialFunction<X> i_v1, DifferentialFunction<X> i_v2)
Constructs an object whose value is (i_v1 + i_v2)