net.simplace.core.service.MathHelper



public class MathHelper {
// Public Constructors
public MathHelper();

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

Calculates the maximum of a list of values
returns the maximum
public static Number MIN(LinkedList aLinkedList, int i);

Calculates the minimum of a list of values
returns the minimum
public static Number AVG(LinkedList aLinkedList, FWSimVariable.DATA_TYPE
aDataType, int i);

Calculates the average of a list of values
returns the average
public static Number SUM(LinkedList aLinkedList, FWSimVariable.DATA_TYPE
aDataType, int i);

Calculates the sum of a list of values
returns the sum
public static Integer COUNT(LinkedList aLinkedList);


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

Calculates the sum of a list of values
returns the sum
public static Integer[] ADD(Integer[] aFirstObjectToCalculateWith, Integer[]
aSecondObjectToCalculateWith);

Calculates the sum of a list of values
returns the sum
public static Double[] MULTIPLY(Double[] aFirstObjectToCalculateWith, Object
aSecondObjectToCalculateWith);

Calculates the product of a list of values
returns the sum
public static Integer[] MULTIPLY(Integer[] aFirstObjectToCalculateWith,
Object aSecondObjectToCalculateWith);

Calculates the product of a list of values
returns the sum
public static double GaussIntegrationWeight(int n, int i);

Returns the weights for Gau�-Legendre-Integration
returns weight
public static double GaussIntegrationX(int n, int i);

Returns the locations (x-values) for Gau�-Legendre-Integration
returns x-value
public static void calulateLinearRegression(int ind, double[] x, double[] y,
FWSimVariable aRegressionM, FWSimVariable aRegressionB);

Calculates linear regression

}