net.simplace.util.service.MathHelper

public static void calulateLinearRegression(int ind, double[] x, double[] y,
FWSimVariable aRegressionM, FWSimVariable aRegressionB);

Calculates linear regression

• ind length of vector
• x vector with x-values
• y vector with y-values
• aRegressionM stores the calculated m (slope)
• aRegressionB stores the calculated b

public static double AFGEN(FWSimVariable sample, double s);

public static double AFGEN(TreeMap sample, double x);

Computes a linear interpolation for x. The method returns the leftmost or rightmost value if x is out of range.

• sample data set
• x point at which the value is computed

returns the interpolated value

public static double INSW(double testvalue, double X2, double X3);

Returns one value, if the test value is negative and another value, if the test value ist nonnegative

• testvalue
• X2 value returned if test value is negative
• X3 value returned if test value is positive or zero

returns resulting value

public static double INSW(boolean testvalue, double X2, double X3);

Returns one value, if the test value is false and another value, if the test value ist nonnegative

• testvalue
• X2 value returned if test value is negative
• X3 value returned if test value is positive or zero

returns resulting value

public static int REAAND(double x1, double x2);

Tests whether two values are positive

• x1 first value
• x2 second value

returns 1 if both are positive, 0 otherwise

public static double LIMIT(double XL, double XH, double X);

Limits a value to a lower and upper bound

• XL lower bound
• XH upper bound
• X value

returns the value or it's lower/upper bound if it exceeds the bounds

public static double NOTNUL(double x);

Returns 1 instead of 0 if the value is 0. Used to avoid division by 0

• x value

returns value or 1

public static Number MAX(LinkedList aLinkedList, int i);

Calculates the maximum of a list of values

• aLinkedList list of values
• i

returns the maximum

public static Number MIN(LinkedList aLinkedList, int i);

Calculates the minimum of a list of values

• aLinkedList list of values
• i

returns the minimum

public static Number AVG(LinkedList aLinkedList, int i);

Calculates the average of a list of values

• aLinkedList list of values
• i

returns the average

public static Number SUM(LinkedList aLinkedList, int i);

Calculates the sum of a list of values

• aLinkedList list of values
• i

returns the sum

public static Double[] ADD(Double[] aFirstObjectToCalculateWith, Double[]
aSecondObjectToCalculateWith);

Calculates the sum of a list of values

• two values to sum up

returns the sum

public static Integer[] ADD(Integer[] aFirstObjectToCalculateWith, Integer[]
aSecondObjectToCalculateWith);

Calculates the sum of a list of values

• two values to sum up

returns the sum

public static Double[] MULTIPLY(Double[] aFirstObjectToCalculateWith, Object
aSecondObjectToCalculateWith);

Calculates the product of a list of values

• two values to sum up

returns the sum

public static Integer[] MULTIPLY(Integer[] aFirstObjectToCalculateWith,
Object aSecondObjectToCalculateWith);

Calculates the product of a list of values

• two values to sum up

returns the sum

public static double GaussIntegrationWeight(int n, int i);

Returns the weights for Gauß-Legendre-Integration

• n degree of polynomial
• i number of weight

returns weight

public static double GaussIntegrationX(int n, int i);

Returns the locations (x-values) for Gauß-Legendre-Integration

• n degree of polynomial
• i number of location

returns x-value

public static double REANOR(double a, double b);

Returns 1 if two values are both zero or negative, returns 0 otherwise

• a first value
• b second value

returns 1 or 0