Uses of Class
org.mariuszgromada.math.mxparser.Argument

Packages that use Argument

Package	Description
org.mariuszgromada.math.mxparser
org.mariuszgromada.math.mxparser.mathcollection

Uses of Argument in org.mariuszgromada.math.mxparser

Subclasses of Argument in org.mariuszgromada.math.mxparser

Modifier and Type	Class	Description
class	RecursiveArgument	RecursiveArgument class enables to declare the argument (variable) which is defined in a recursive way.

Fields in org.mariuszgromada.math.mxparser declared as Argument

Modifier and Type	Field	Description
protected Argument	Argument.n	Index argument.

Methods in org.mariuszgromada.math.mxparser that return Argument

Modifier and Type	Method	Description
Argument	Argument.clone()	Creates cloned object of this argument.
Argument	Argument.cloneForThreadSafe()	Creates a completely independent 1-1 clone that can be safely used by a separate thread.
Argument	Argument.getArgument(int argumentIndex)	Gets argument from the argument expression.
Argument	Argument.getArgument(String argumentName)	Gets argument from the argument expression.
Argument	Expression.getArgument(int argumentIndex)	Gets argument from the expression.
Argument	Expression.getArgument(String argumentName)	Gets argument from the expression.
Argument	Function.getArgument(int argumentIndex)	Gets argument from the function expression.
Argument	Function.getArgument(String argumentName)	Gets argument from the function expression.

Methods in org.mariuszgromada.math.mxparser with parameters of type Argument

Modifier and Type	Method	Description
void	Argument.addArguments(Argument... arguments)	Adds arguments (variadic) to the argument expression definition.
void	Expression.addArguments(Argument... arguments)	Adds arguments (variadic) to the expression definition.
void	Function.addArguments(Argument... arguments)	Adds arguments (variadic) to the function expression definition.
double	Function.calculate(Argument... arguments)	Calculates function value
static double	mXparser.getFunctionValue(Expression f, Argument x, double x0)	Deprecated. Planned to be removed, use MathFunctions.getFunctionValue(Expression, Argument, double) instead
static double[]	mXparser.getFunctionValues(Expression f, Argument index, double from, double to, double delta)	Deprecated. Planned to be removed, use MathFunctions.getFunctionValues(Expression, Argument, double, double, double) instead
void	Argument.removeArguments(Argument... arguments)	Removes first occurrences of the arguments associated with the argument expression.
void	Expression.removeArguments(Argument... arguments)	Removes first occurrences of the arguments associated with the expression.
void	Function.removeArguments(Argument... arguments)	Removes first occurrences of the arguments associated with the function expression.

Constructors in org.mariuszgromada.math.mxparser with parameters of type Argument

Modifier	Constructor	Description
	RecursiveArgument(String argumentName, String recursiveExpressionString, Argument n, PrimitiveElement... elements)	Constructor - creates recursive argument.

Uses of Argument in org.mariuszgromada.math.mxparser.mathcollection

Methods in org.mariuszgromada.math.mxparser.mathcollection with parameters of type Argument

Modifier and Type	Method	Description
static double	Statistics.avg(Expression f, Argument index, double from, double to, double delta)	Average from sample function values - iterative operator.
static double	Calculus.backwardDifference(Expression f, double h, Argument x)	Backward difference(h) operator (at the current value of the argument x)
static double	Calculus.backwardDifference(Expression f, double h, Argument x, double x0)	Backward difference(h) operator (at x = x0)
static double	Calculus.backwardDifference(Expression f, Argument x)	Backward difference(1) operator (at current value of argument x)
static double	Calculus.backwardDifference(Expression f, Argument x, double x0)	Backward difference(1) operator (at x = x0).
static double	Calculus.derivative(Expression f, Argument x, double x0, int derType, double eps, int maxSteps)	Numerical derivative at x = x0
static double	Calculus.derivativeNth(Expression f, double n, Argument x, double x0, int derType, double eps, int maxSteps)	Numerical n-th derivative at x = x0 (you should avoid calculation of derivatives with order higher than 2).
static double	Calculus.forwardDifference(Expression f, double h, Argument x)	Forward difference(h) operator (at the current value of the argument x)
static double	Calculus.forwardDifference(Expression f, double h, Argument x, double x0)	Forward difference(h) operator (at x = x0)
static double	Calculus.forwardDifference(Expression f, Argument x)	Forward difference(1) operator (at current value of argument x)
static double	Calculus.forwardDifference(Expression f, Argument x, double x0)	Forward difference(1) operator (at x = x0)
static double	MathFunctions.getFunctionValue(Expression f, Argument x, double x0)	Calculates function f(x0) (given as expression) assigning Argument x = x0;
static double[]	MathFunctions.getFunctionValues(Expression f, Argument index, double from, double to, double delta)	Returns array of double values of the function f(i) calculated on the range: i = from to i = to by step = delta
static double	Calculus.integralTrapezoid(Expression f, Argument x, double a, double b, double eps, int maxSteps)	Trapezoid numerical integration
static double	NumberTheory.max(Expression f, Argument index, double from, double to, double delta)	Maximum value - iterative operator.
static double	NumberTheory.min(Expression f, Argument index, double from, double to, double delta)	Minimum value - iterative operator.
static double	NumberTheory.piProduct(Expression f, Argument index, double from, double to, double delta)	Product operator
static double	NumberTheory.sigmaSummation(Expression f, Argument index, double from, double to, double delta)	Summation operator (SIGMA FROM i = a, to b, f(i) by delta
static double	Calculus.solveBrent(Expression f, Argument x, double a, double b, double eps, double maxSteps)	Brent solver (Brent root finder)
static double	Statistics.std(Expression f, Argument index, double from, double to, double delta)	Bias-corrected standard deviation from sample function values - iterative operator.
static double	Statistics.var(Expression f, Argument index, double from, double to, double delta)	Bias-corrected variance from sample function values - iterative operator.