Class SparseMatrix<E>

java.lang.Object

org.episteme.core.mathematics.linearalgebra.matrices.GenericMatrix<E>

org.episteme.core.mathematics.linearalgebra.matrices.SparseMatrix<E>

All Implemented Interfaces:

Matrix<E>, AbelianGroup<Matrix<E>>, AbelianMonoid<Matrix<E>>, Group<Matrix<E>>, Magma<Matrix<E>>, Monoid<Matrix<E>>, Ring<Matrix<E>>, Semiring<Matrix<E>>, Set<Matrix<E>>, Module<Matrix<E>, E>

public class SparseMatrix<E>
extends GenericMatrix<E>

A sparse matrix implementation. Wrapper around GenericMatrix that enforces SparseMatrixStorage.

Since:

1.0

Author:

Silvere Martin-Michiellot, Gemini AI (Google DeepMind)

Field Summary

Fields inherited from class GenericMatrix

provider, ring, storage

Constructor Summary

Constructors

Constructor	Description
SparseMatrix(int rows, int cols, Ring<E> ring)
SparseMatrix(E[][] data, Ring<E> ring)	Creates a SparseMatrix with automatic storage optimization.
SparseMatrix(List<List<E>> rows, Ring<E> ring)
SparseMatrix(MatrixStorage<E> storage, LinearAlgebraProvider<E> provider, Ring<E> ring)
SparseMatrix(MatrixStorage<E> storage, Ring<E> ring)

Method Summary

Modifier and Type	Method	Description
static <E> SparseMatrix<E>	fromDense(List<List<E>> rows, Ring<E> ring)
int[]	getColIndices()
int	getNnz()
int[]	getRowPointers()
SparseMatrixStorage<E>	getSparseStorage()
Object[]	getValues()
static <E> SparseMatrix<E>	identity(int size, Ring<E> ring)
static <E> SparseMatrix<E>	of(int rows, int cols, E zero, Ring<E> ring)
static <E> SparseMatrix<E>	of(int rows, int cols, Ring<E> ring)
void	set(int row, int col, E value)
String	toString()
static <E> SparseMatrix<E>	zeros(int rows, int cols, Ring<E> ring)

Methods inherited from class GenericMatrix

add, cholesky, cols, contains, description, determinant, eigen, get, getColumn, getField, getProvider, getRow, getScalarRing, getStorage, getSubMatrix, inverse, lu, multiply, multiply, negate, one, qr, rows, scale, svd, trace, transpose, withProvider, zero

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface AbelianGroup

negate, subtract

Methods inherited from interface Matrix

add, identity, inverse, isCommutative, isEmpty, isMultiplicationCommutative, map, multiply, operate, scale, subtract, toTensor

Methods inherited from interface Monoid

isAssociative

Methods inherited from interface Ring

hasUnity

Methods inherited from interface Semiring

pow

Constructor Details

SparseMatrix

public SparseMatrix(E[][] data,
 Ring<E> ring)

Creates a SparseMatrix with automatic storage optimization.

SparseMatrix

public SparseMatrix(List<List<E>> rows,
 Ring<E> ring)

SparseMatrix

public SparseMatrix(int rows,
 int cols,
 Ring<E> ring)

SparseMatrix

public SparseMatrix(MatrixStorage<E> storage,
 LinearAlgebraProvider<E> provider,
 Ring<E> ring)

SparseMatrix

public SparseMatrix(MatrixStorage<E> storage,
 Ring<E> ring)

Method Details

fromDense

public static <E> SparseMatrix<E> fromDense(List<List<E>> rows,
 Ring<E> ring)

of

public static <E> SparseMatrix<E> of(int rows,
 int cols,
 Ring<E> ring)

of

public static <E> SparseMatrix<E> of(int rows,
 int cols,
 E zero,
 Ring<E> ring)

zeros

public static <E> SparseMatrix<E> zeros(int rows,
 int cols,
 Ring<E> ring)

identity

public static <E> SparseMatrix<E> identity(int size,
 Ring<E> ring)

getNnz

public int getNnz()

getSparseStorage

public SparseMatrixStorage<E> getSparseStorage()

set

public void set(int row,
 int col,
 E value)

Overrides:

set in class GenericMatrix<E>

getValues

public Object[] getValues()

getColIndices

public int[] getColIndices()

getRowPointers

public int[] getRowPointers()

toString

public String toString()

Overrides:

toString in class Object