Uses of Class org.mariuszgromada.math.mxparser.Argument (MathParser.org-mXparser - Math Expressions Parser / Formula Evaluator library for JAVA Android C# .NET/MONO CLS compliant 5.0.2 API)

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 the this argument.''
`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)`	Calculates function f(x0) (given as expression) assigning Argument x = x0;
`static double[]`	mXparser.`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
`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
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`	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.