- EigenDecomposition - Class in Matrix
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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
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Calculates the eigen decomposition of the given symmetric matrix.
- EqualMultiplyLamda(double) - Method in class Matrix.TwoDmatrix
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This method ,multiplies all entries of the principal matrix by a lamda factor.
- EqualsAddmatrix(TwoDmatrix) - Method in class Matrix.TwoDmatrix
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This method takes the first matrix and adds another matrix
- EqualsAddmatrix(double[][]) - Method in class Matrix.TwoDmatrix
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This method takes the first matrix and adds a double array [][]
- EqualsSubmatrix(TwoDmatrix) - Method in class Matrix.TwoDmatrix
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This method takes the first matrix and subtracts another matrix
- EqualsSubmatrix(double[][]) - Method in class Matrix.TwoDmatrix
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This method takes the first matrix and subtracts a double array [][]
- evaluate(double, double, int, double, double) - Method in class Assisted_Classes.FDistribution
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- Expected_value_expotential_function - Class in Assisted_Classes
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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
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