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E

eigenproblem(int) - Method in class io.bhagat.math.linearalgebra.Matrix

Solves the eigen problem

EigenSolution(double[], Vector[]) - Constructor for class io.bhagat.math.linearalgebra.Matrix.EigenSolution

Creates a new EigenSolution

eigenvalues - Variable in class io.bhagat.ai.unsupervised.PrincipalComponentAnalysis

eigenvalues - Variable in class io.bhagat.math.linearalgebra.Matrix.EigenSolution

eigenvalues(int) - Method in class io.bhagat.math.linearalgebra.Matrix

computes the eigenvalues of the matrix

eigenvaluestest(int) - Method in class io.bhagat.math.linearalgebra.Matrix

eigenvector(double) - Method in class io.bhagat.math.linearalgebra.Matrix

eigenvectors - Variable in class io.bhagat.ai.unsupervised.PrincipalComponentAnalysis

eigenvectors - Variable in class io.bhagat.math.linearalgebra.Matrix.EigenSolution

eigenvectors - Variable in class io.bhagat.math.linearalgebra.Matrix.SingularSolution

eigenvectors(double[]) - Method in class io.bhagat.math.linearalgebra.Matrix

calculates the eigenvectors based on the eigenvalues provided

elapsed() - Method in class io.bhagat.util.Timer

Environment - Class in io.bhagat.ai.reinforced

a class for an environment for the agent to learn in

Environment() - Constructor for class io.bhagat.ai.reinforced.Environment

EPSILON - Static variable in class io.bhagat.math.linearalgebra.Matrix

equals(Matrix) - Method in class io.bhagat.math.linearalgebra.Matrix

checks if two matrices have the same data

equals(Vector) - Method in class io.bhagat.math.linearalgebra.Vector

checks if two matrices have the same data

experimentalProbability(double, double, int) - Method in class io.bhagat.math.statistics.NormalDistribution

finds the probability of the value to be in an interval using repeated simulations

experimentalProbability(Interval, int) - Method in class io.bhagat.math.statistics.NormalDistribution

finds the probability of the value to be in an interval using repeated simulations

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