Module imagingbook.common

Package imagingbook.common.math

package imagingbook.common.math

Related Packages

Package	Description
imagingbook.common.math.eigen
imagingbook.common.math.exception
imagingbook.common.math.nonlinear

Class	Description
Arithmetic	This class defines static methods implementing arithmetic operations and predicates.
Complex	This class represents complex numbers.
MahalanobisDistance	This class implements the Mahalanobis distance using the Apache Commons Math library.
Matrix	This class defines a set of static methods for calculations with vectors and matrices using native Java arrays without any enclosing object structures.
Matrix.IncompatibleDimensionsException	Thrown when the dimensions of matrix/vector arguments do not match.
Matrix.NonsquareMatrixException	Thrown when a non-square matrix is encountered where a square matrix is assumed.
Matrix.SameSourceTargetException	Thrown when source and target objects are identical but shouldn't.
Matrix.ZeroLengthVectorException	Thrown when the length of some vector is zero.
PrintPrecision	This class holds settings to control the precision when printing floating-point numbers, used in particular by various toString() methods for vectors and matrices defined in class Matrix (mainly for debugging).
Statistics	This class defines static methods for statistical calculations.
VectorNorm	This class defines various vector norms for calculating the magnitude of a vector and the distance between vectors.
VectorNorm.L1	Implementation of the L1 vector norm (Manhattan norm/distance).
VectorNorm.L2	Implementation of the L2 vector norm (Euclidean norm/distance).
VectorNorm.Linf	Implementation of the L-infinity vector norm (maximum norm/distance).
VectorNorm.NormType	Enumeration type for VectorNorm to be used as parameter choice.