Package jsat.linear

Class Summary

Class	Description
CholeskyDecomposition	The Cholesky Decomposition factors a symmetric positive definite matrix A into the form A = L LT.
ConcatenatedVec	ConcatenatedVec provides a light wrapper around a list of vectors to provide a view of one single vector that's length is the sum of the lengths of the inputs.
ConstantVector	This class provides a simple utility to represent an immutable vector where all values in the vector must have the same constant value.
DenseMatrix
DenseVector	A vector implementation that is dense, meaning all values are allocated - even if their values will be implicitly zero.
EigenValueDecomposition	Class for performing the Eigen Value Decomposition of a matrix.
GenericMatrix	This Class provides default implementations of most all functions in row major form.
HessenbergForm
IndexValue	The value at a specified index for one dimension.
LUPDecomposition	This class uses the LUP decomposition of a matrix to provide efficient methods for solving A x = b, as well as computing the determinant of A.
Matrix	Generic class with some pre-implemented methods for a Matrix object.
MatrixOfVecs	This class provides a base mechanism to create a Matrix 'view' from a list of Vec objects.
MatrixStatistics	This class provides methods useful for statistical operations that involve matrices and vectors.
Poly2Vec	This class is used to create an implicit representation of the degree 2 polynomial of an input vector, with an implicit bias term added so that the original vector values are present in the implicit vector.
QRDecomposition
RandomMatrix	Stores a Matrix full of random values in constant O(1) space by re-computing all matrix values on the fly as need.
RandomVector	Stores a Vector full of random values in constant O(1) space by re-computing all matrix values on the fly as need.
RowColumnOps	A collection of mutable Row and Column operations that can be performed on matrices.
ScaledVector	A wrapper for a vector that represents the vector multiplied by a scalar constant.
ShiftedVec	A wrapper for a vector that represents the vector added with a scalar value.
SingularValueDecomposition	The Singular Value Decomposition (SVD) of a matrix Am,n = Um,n Σn,n VTn,n , where S is the diagonal matrix of the singular values sorted in descending order and are all non negative.
SparseMatrix	Creates a new Sparse Matrix where each row is backed by a sparse vector.
SparseVector	Provides a vector implementation that is sparse.
SubMatrix	This class allows for the selection of an area of a matrix to operate on independently.
SubVector	SubVector takes an already existing vector and creates a new one that is a subset of and backed by the original one.
TransposeView	This class provides a free view of the transpose of a matrix.
Vec	Vec is a object representing the math concept of a vector.
VecOps	This class provides efficient implementations of use full vector operations and updates.
VecPaired<V extends Vec,P>	This data structure allows to wrap a Vector so that it is associated with some object time.
VecPairedComparable<V extends Vec,P extends java.lang.Comparable<P>>	Utility class for using VecPaired when the paired value is comparable , and the vectors need to be sorted based on their paired value.
VecWithNorm	A wrapper for a vector that allows for transparent tracking of the 2-norm of the base vector.