A B C D E F G I K L M N P R S T V 

E

EigenDecomposition - Class in Matrix
The purpose of this class to provide the means to perform Eigen value decomposition of a symmetrical matrix (such as a covariance or a correlation matrix) and get the various associated elements such as the V and the Q matrix.
EigenDecomposition(TwoDmatrix) - Constructor for class Matrix.EigenDecomposition
Calculates the eigen decomposition of the given symmetric matrix.
EqualMultiplyLamda(double) - Method in class Matrix.TwoDmatrix
This method ,multiplies all entries of the principal matrix by a lamda factor.
EqualsAddmatrix(TwoDmatrix) - Method in class Matrix.TwoDmatrix
This method takes the first matrix and adds another matrix
EqualsAddmatrix(double[][]) - Method in class Matrix.TwoDmatrix
This method takes the first matrix and adds a double array [][]
EqualsSubmatrix(TwoDmatrix) - Method in class Matrix.TwoDmatrix
This method takes the first matrix and subtracts another matrix
EqualsSubmatrix(double[][]) - Method in class Matrix.TwoDmatrix
This method takes the first matrix and subtracts a double array [][]
evaluate(double, double, int, double, double) - Method in class Assisted_Classes.FDistribution
 
Expected_value_expotential_function - Class in Assisted_Classes
The current class is used to make the logit transformation used in logistic regression.
Expected_value_expotential_function() - Constructor for class Assisted_Classes.Expected_value_expotential_function
 
A B C D E F G I K L M N P R S T V