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

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Packages that use Expression

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

Uses of Expression in org.mariuszgromada.math.mxparser

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

Modifier and Type	Method	Description
protected Expression	Expression.clone()	Expression cloning.
Expression	Expression.cloneForThreadSafe()	Creates a completely independent 1-1 clone that can be safely used by a separate thread.

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

Modifier and Type	Method	Description
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

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

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

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.