Package ch.nolix.core.math.main

Klasse GlobalCalculator

java.lang.Object

ch.nolix.core.math.main.GlobalCalculator

public final class GlobalCalculator
extends Object

The GlobalCalculator provides mathematical functions.

Version:

2016-05-01

Autor:

Silvan Wyss

Feldübersicht

Felder

Modifizierer und Typ	Feld	Beschreibung
static final double	DEFAULT_MAX_DEVIATION	The default maximum deviation is 10^-9.

Methodenübersicht

Modifizierer und Typ	Methode	Beschreibung
static boolean	equalsApproximatively(double value1, double value2)
static boolean	equalsApproximatively(double value1, double value2, double maxDeviation)
static double	getAbsoluteDifference(double value1, double value2)
static int	getAbsoluteDifference(int value1, int value2)
static long	getAbsoluteDifference(long value1, long value2)
static double	getAbsoluteValue(double value)	The absolute value of a value x is -x if x is negative, x otherwise.
static int	getAbsoluteValue(int value)	The absolute value of a value x is -x if x is negative, x otherwise.
static long	getAbsoluteValue(long value)	The absolute value of a value x is -x if x is negative, x otherwise.
static ARModel	getARModell(int pOrder, double[] inputValues)
static double	getAverage(double value, double... values)
static int	getAverage(int value, int... values)
static long	getAverage(long value, long... values)
static double	getAverage(Iterable<Double> values)
static Polynom	getFittingPolynom(int degree, double[] xValues, double[] yValues)
static double	getMax(double value, double... values)
static int	getMax(int value, int... values)
static long	getMax(long value, long... values)
static double	getMin(double value, double... values)
static int	getMin(int value, int... values)
static long	getMin(long value, long... values)
static double	getSquare(double value)
static double	getSquare(int value)
static double	getSquare(long value)
static double	getSum(double value, double... values)
static int	getSum(int value, int... values)
static long	getSum(long value, long... values)
static double	getSum(Iterable<Double> values)
static boolean	isApproximatelyOne(double value)
static boolean	isApproximatelyOne(double value, double maxDeviation)
static boolean	isApproximatelyZero(double value)
static boolean	isApproximatelyZero(double value, double maxDeviation)

Von Klasse geerbte Methoden java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Felddetails

DEFAULT_MAX_DEVIATION

public static final double DEFAULT_MAX_DEVIATION

The default maximum deviation is 10^-9.

Siehe auch:

• Konstantenfeldwerte

Methodendetails

equalsApproximatively

public static boolean equalsApproximatively(double value1,
 double value2)

Parameter:

value1 -

value2 -

Gibt zurück:

true if the given values equals approximately each other with a deviation that is not bigger than 1.0E-9.

equalsApproximatively

public static boolean equalsApproximatively(double value1,
 double value2,
 double maxDeviation)

Parameter:

value1 -

value2 -

maxDeviation -

Gibt zurück:

true if the given values equals approximately each other with a deviation that is not bigger than the given maxDeviation.

Löst aus:

NegativeArgumentException - if the given maxDeviation is negative.

getAbsoluteDifference

public static double getAbsoluteDifference(double value1,
 double value2)

Parameter:

value1 -

value2 -

Gibt zurück:

the absolute difference between the given 2 values.

getAbsoluteDifference

public static int getAbsoluteDifference(int value1,
 int value2)

Parameter:

value1 -

value2 -

Gibt zurück:

the absolute difference between the given 2 values.

getAbsoluteDifference

public static long getAbsoluteDifference(long value1,
 long value2)

Parameter:

value1 -

value2 -

Gibt zurück:

the absolute difference between the given 2 values.

getAbsoluteValue

public static double getAbsoluteValue(double value)

The absolute value of a value x is -x if x is negative, x otherwise.

Parameter:

value -

Gibt zurück:

the absolute value of the given value.

getAbsoluteValue

public static int getAbsoluteValue(int value)

The absolute value of a value x is -x if x is negative, x otherwise.

Parameter:

value -

Gibt zurück:

the absolute value of the given value.

getAbsoluteValue

public static long getAbsoluteValue(long value)

The absolute value of a value x is -x if x is negative, x otherwise.

Parameter:

value -

Gibt zurück:

the absolute value of the given value.

getAverage

public static double getAverage(double value,
 double... values)

Parameter:

value -

values -

Gibt zurück:

the average of the given values.

getAverage

public static double getAverage(Iterable<Double> values)

Parameter:

values -

Gibt zurück:

the average of the given values.

Löst aus:

EmptyArgumentException - if the given values is empty.

getAverage

public static int getAverage(int value,
 int... values)

Parameter:

value -

values -

Gibt zurück:

the average of the given values.

getAverage

public static long getAverage(long value,
 long... values)

Parameter:

value -

values -

Gibt zurück:

the average of the given values.

Löst aus:

EmptyArgumentException - if the given values is empty.

getARModell

public static ARModel getARModell(int pOrder,
 double[] inputValues)

Parameter:

pOrder -

inputValues -

Gibt zurück:

a new ARModel with the given pOrder and inputValues.

Löst aus:

NegativeArgumentException - if the given pOrder is negative.

getFittingPolynom

public static Polynom getFittingPolynom(int degree,
 double[] xValues,
 double[] yValues)

Parameter:

degree -

xValues -

yValues -

Gibt zurück:

a new Polynom that has the given degree and fits the given values

Löst aus:

NegativeArgumentException - if the given degree is negative.

BiggerArgumentException - if the given degree is bigger than the count of the given xValues.

InvalidArgumentException - if the count of the given yValues does not equal the count of the given xValues.

getMax

public static double getMax(double value,
 double... values)

Parameter:

value -

values -

Gibt zurück:

the biggest value of the given values.

getMax

public static int getMax(int value,
 int... values)

Parameter:

value -

values -

Gibt zurück:

the biggest value of the given values.

getMax

public static long getMax(long value,
 long... values)

Parameter:

value -

values -

Gibt zurück:

the biggest value of the given values.

getMin

public static double getMin(double value,
 double... values)

Parameter:

value -

values -

Gibt zurück:

the smallest value of the given values.

getMin

public static int getMin(int value,
 int... values)

Parameter:

value -

values -

Gibt zurück:

the smallest value of the given values.

getMin

public static long getMin(long value,
 long... values)

Parameter:

value -

values -

Gibt zurück:

the smallest value of the given values.

getSquare

public static double getSquare(double value)

Parameter:

value -

Gibt zurück:

the square of the given value.

getSquare

public static double getSquare(int value)

Parameter:

value -

Gibt zurück:

the square of the given value.

getSquare

public static double getSquare(long value)

Parameter:

value -

Gibt zurück:

the square of the given value.

getSum

public static double getSum(double value,
 double... values)

Parameter:

value -

values -

Gibt zurück:

the sum of the given values.

getSum

public static int getSum(int value,
 int... values)

Parameter:

value -

values -

Gibt zurück:

the sum of the given values.

getSum

public static double getSum(Iterable<Double> values)

Parameter:

values -

Gibt zurück:

the sum of the given values.

getSum

public static long getSum(long value,
 long... values)

Parameter:

value -

values -

Gibt zurück:

the sum of the given values.

isApproximatelyOne

public static boolean isApproximatelyOne(double value)

Parameter:

value -

Gibt zurück:

true if the given value is approximately 1.0 with a deviation that is not bigger than 1.0E-9.

isApproximatelyOne

public static boolean isApproximatelyOne(double value,
 double maxDeviation)

Parameter:

value -

maxDeviation -

Gibt zurück:

true if the given value is approximately 1.0 with a deviation that is not bigger than the given maxDeviation.

Löst aus:

NegativeArgumentException - if the given maxDeviation is negative.

isApproximatelyZero

public static boolean isApproximatelyZero(double value)

Parameter:

value -

Gibt zurück:

true if the given value is approximately 0.0 with a deviation that is not bigger than 1.0E-9.

isApproximatelyZero

public static boolean isApproximatelyZero(double value,
 double maxDeviation)

Parameter:

value -

maxDeviation -

Gibt zurück:

true if the given value is approximately 0.0 with a deviation that is not bigger than the given maxDeviation.

Löst aus:

NegativeArgumentException - if the given maxDeviation is negative.