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# Classes and Interfaces in #Ejml ( Efficient Java Matrix Library - 210 results found.
NameDescriptionTypePackageFrameworkJavaDoc
AdjLinearSolverQr_D64A solver for QR decomposition that can efficiently modify the previous decomposition when data is added or removed.Classorg.ejml.alg.dense.linsol.qrEjml ( Efficient Java Matrix Library )javadoc
AdjustableLinearSolverIn many situations solutions to linear systems that share many of the same data points are needed.Interfaceorg.ejml.alg.dense.linsolEjml ( Efficient Java Matrix Library )javadoc
BlockCholeskyOuterSolver Linear solver that uses a block cholesky decomposition.Classorg.ejml.alg.block.linsol.cholEjml ( Efficient Java Matrix Library )javadoc
BlockInnerRankUpdatePerforms rank-n update operations on the inner blocks of a BlockMatrix64F It is assumed and not checked that the submatrices are aligned along the matrix's blocks.Classorg.ejml.alg.blockEjml ( Efficient Java Matrix Library )javadoc
BlockInnerMultiplication Matrix multiplication for the inner row major blocks, typically inside of a BlockMatrix64F.Classorg.ejml.alg.blockEjml ( Efficient Java Matrix Library )javadoc
BlockHouseHolder Contains various helper functions for performing a block matrix QR decomposition.Classorg.ejml.alg.block.decomposition.qrEjml ( Efficient Java Matrix Library )javadoc
BidiagonalDecompositionTall_D64 BidiagonalDecomposition specifically designed for tall matrices.Classorg.ejml.alg.dense.decomposition.bidiagonalEjml ( Efficient Java Matrix Library )javadoc
BidiagonalHelperClassorg.ejml.alg.block.decomposition.bidiagonalEjml ( Efficient Java Matrix Library )javadoc
BidiagonalDecompositionRow_D64 Performs a BidiagonalDecomposition using householder reflectors.Classorg.ejml.alg.dense.decomposition.bidiagonalEjml ( Efficient Java Matrix Library )javadoc
BaseLinearSolverQrp_D64 Base class for QR pivot based pseudo inverse classes.Classorg.ejml.alg.dense.linsol.qrEjml ( Efficient Java Matrix Library )javadoc
BidiagonalDecomposition Computes a matrix decomposition such that: where A is m by n, U is orthogonal and m by m, B is an m by n bidiagonal matrix, V is orthogonal and n by n.Interfaceorg.ejml.interfaces.decompositionEjml ( Efficient Java Matrix Library )javadoc
BaseDecomposition_B64_to_D64Generic interface for wrapping a BlockMatrix64F decomposition for processing of DenseMatrix64F.Classorg.ejml.alg.dense.decompositionEjml ( Efficient Java Matrix Library )javadoc
BlockInnerTriangularSolver Contains triangular solvers for inner blocks of a BlockMatrix64F.Classorg.ejml.alg.blockEjml ( Efficient Java Matrix Library )javadoc
BlockMatrix64FA row-major block matrix declared on to one continuous array.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
BlockMatrixOpsVarious operations on BlockMatrix64F.Classorg.ejml.alg.blockEjml ( Efficient Java Matrix Library )javadoc
BlockMultiplication Matrix multiplication for BlockMatrix64F.Classorg.ejml.alg.blockEjml ( Efficient Java Matrix Library )javadoc
BlockQrHouseHolderSolver A solver for QRDecompositionHouseholder_B64.Classorg.ejml.alg.block.linsol.qrEjml ( Efficient Java Matrix Library )javadoc
BlockTriangularSolver Contains triangular solvers for BlockMatrix64F block aligned sub-matrices.Classorg.ejml.alg.blockEjml ( Efficient Java Matrix Library )javadoc
BlockVectorOpsClassorg.ejml.alg.blockEjml ( Efficient Java Matrix Library )javadoc
CCommonOpsClassorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc
CD1Matrix64FA generic abstract class for matrices whose data is stored in a single 1D array of doubles.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
CDecompositionFactory Contains operations related to creating and evaluating the quality of common matrix decompositions.Classorg.ejml.factoryEjml ( Efficient Java Matrix Library )javadoc
CDenseMatrix64FDense matrix for complex numbers.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
CholeskyDecomposition Cholesky decomposition for DenseMatrix64F.Interfaceorg.ejml.interfaces.decompositionEjml ( Efficient Java Matrix Library )javadoc

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CholeskyDecomposition_B64_to_D64Wrapper around CholeskyOuterForm_B64 that allows it to process DenseMatrix64F.Classorg.ejml.alg.dense.decomposition.cholEjml ( Efficient Java Matrix Library )javadoc
CholeskyDecompositionBlock_D64This is an implementation of Cholesky that processes internal submatrices as blocks.Classorg.ejml.alg.dense.decomposition.cholEjml ( Efficient Java Matrix Library )javadoc
CholeskyDecompositionCommon_CD64 This is an abstract class for a Cholesky decomposition.Classorg.ejml.alg.dense.decompose.cholEjml ( Efficient Java Matrix Library )javadoc
CholeskyDecompositionCommon_D64 This is an abstract class for a Cholesky decomposition.Classorg.ejml.alg.dense.decomposition.cholEjml ( Efficient Java Matrix Library )javadoc
CholeskyDecompositionInner_CD64 This implementation of a Cholesky decomposition using the inner-product form.Classorg.ejml.alg.dense.decompose.cholEjml ( Efficient Java Matrix Library )javadoc
CholeskyDecompositionInner_D64 This implementation of a Cholesky decomposition using the inner-product form.Classorg.ejml.alg.dense.decomposition.cholEjml ( Efficient Java Matrix Library )javadoc
CholeskyDecompositionLDL_D64 This variant on the Cholesky decomposition avoid the need to take the square root by performing the following decomposition:Classorg.ejml.alg.dense.decomposition.cholEjml ( Efficient Java Matrix Library )javadoc
CholeskyLDLDecomposition Cholesky LDLT decomposition for DenseMatrix64F.Interfaceorg.ejml.interfaces.decompositionEjml ( Efficient Java Matrix Library )javadoc
CholeskyOuterForm_B64 Block Cholesky using outer product form.Classorg.ejml.alg.block.decomposition.cholEjml ( Efficient Java Matrix Library )javadoc
CInvertUsingSolveA matrix can be easily inverted by solving a system with an identify matrix.Classorg.ejml.alg.dense.linsolEjml ( Efficient Java Matrix Library )javadoc
CLinearSolverFactoryClassorg.ejml.factoryEjml ( Efficient Java Matrix Library )javadoc
CMatrixFeaturesClassorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc
CMatrixMatrixMultMatrix multiplication routines for complex dense matrices in a row-major format.Classorg.ejml.alg.dense.multEjml ( Efficient Java Matrix Library )javadoc
CNormOpsClassorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc
CodeGeneratorMiscVarious things related to auto generating code.Classorg.ejml.alg.genericEjml ( Efficient Java Matrix Library )javadoc
CommonOps Common matrix operations are contained here.Classorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc
Complex64F Represents a complex number using 64bit floating point numbers.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
ComplexMath64FBasic math operations on complex numbers.Classorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc
ComplexMatrix64FInterface for all complex 64 bit floating point rectangular matrices.Interfaceorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
ComplexPolar64F Complex64F number in polar notation.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
ConvertMatrixTypeFunctions for converting between matrix types.Classorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc
CovarianceOpsContains operations specific to covariance matrices.Classorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc
CovarianceRandomDrawGenerates random vectors based on a zero mean multivariate Gaussian distribution.Classorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc
CRandomMatricesContains a list of functions for creating random dense complex matrices and vectors with different structures.Classorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc
CSpecializedOpsClassorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc

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CTransposeAlgsClassorg.ejml.alg.dense.miscEjml ( Efficient Java Matrix Library )javadoc
CTriangularSolver This contains algorithms for solving systems of equations where T is a non-singular triangular complex matrix:Classorg.ejml.alg.dense.decomposeEjml ( Efficient Java Matrix Library )javadoc
CVectorVectorMultOperations that involve multiplication of two vectors.Classorg.ejml.alg.dense.multEjml ( Efficient Java Matrix Library )javadoc
D1Matrix32FA generic abstract class for matrices whose data is stored in a single 1D array of floats.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
D1Matrix64FA generic abstract class for matrices whose data is stored in a single 1D array of doubles.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
D1Submatrix64F Describes a rectangular submatrix inside of a D1Matrix64F.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
DecompositionFactory Contains operations related to creating and evaluating the quality of common matrix decompositions.Classorg.ejml.factoryEjml ( Efficient Java Matrix Library )javadoc
DecompositionInterface An interface for performing matrix decompositions on a DenseMatrix64F.Interfaceorg.ejml.interfaces.decompositionEjml ( Efficient Java Matrix Library )javadoc
DenseMatrix32F DenseMatrix64F is a dense matrix with elements that are 32-bit floats.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
DenseMatrix64F DenseMatrix64F is a dense matrix with real elements that are 64-bit floats.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
DenseMatrixBoolDense matrix composed of boolean valuesAuthor:Peter AbelesSee Also:Serialized FormClassorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
DeterminantFromMinor Computes the determinant of a matrix using Laplace expansion.Classorg.ejml.alg.dense.miscEjml ( Efficient Java Matrix Library )javadoc
EigenDecomposition This is a generic interface for computing the eigenvalues and eigenvectors of a matrix.Interfaceorg.ejml.interfaces.decompositionEjml ( Efficient Java Matrix Library )javadoc
Eigenpair64FAn eigenpair is a set composed of an eigenvalue and an eigenvector.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
EigenPowerMethod The power method is an iterative method that can be used to find dominant eigen vector in a matrix.Classorg.ejml.alg.dense.decomposition.eigEjml ( Efficient Java Matrix Library )javadoc
EigenvalueExtractorInterfaceorg.ejml.alg.dense.decomposition.eigEjml ( Efficient Java Matrix Library )javadoc
EigenvalueSmallClassorg.ejml.alg.dense.decomposition.eigEjml ( Efficient Java Matrix Library )javadoc
EjmlParametersThis is a list of parameters that are used across the code.Classorg.ejmlEjml ( Efficient Java Matrix Library )javadoc
EjmlUnitTestsContains various functions related to unit testing matrix operations.Classorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc
Equation Equation allows the user to manipulate matrices in a more compact symbolic way, similar to Matlab and Octave.Classorg.ejml.equationEjml ( Efficient Java Matrix Library )javadoc
FixedMatrix2_64FFixed sized vector with 2 elements.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
FixedMatrix2x2_64FFixed sized 2 by FixedMatrix2x2_64F matrix.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
FixedMatrix3_64FFixed sized vector with 3 elements.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
FixedMatrix3x3_64FFixed sized 3 by FixedMatrix3x3_64F matrix.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
FixedMatrix4_64FFixed sized vector with 4 elements.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc

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FixedMatrix4x4_64FFixed sized 4 by FixedMatrix4x4_64F matrix.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
FixedMatrix5_64FFixed sized vector with 5 elements.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
FixedMatrix5x5_64FFixed sized 5 by FixedMatrix5x5_64F matrix.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
FixedMatrix64FInterfaceorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
FixedMatrix6_64FFixed sized vector with 6 elements.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
FixedMatrix6x6_64FFixed sized 6 by FixedMatrix6x6_64F matrix.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
FixedOps2Common matrix operations for fixed sized matrices which are 2 x 2 or 2 element vectors.Classorg.ejml.alg.fixedEjml ( Efficient Java Matrix Library )javadoc
FixedOps3Common matrix operations for fixed sized matrices which are 3 x 3 or 3 element vectors.Classorg.ejml.alg.fixedEjml ( Efficient Java Matrix Library )javadoc
FixedOps4Common matrix operations for fixed sized matrices which are 4 x 4 or 4 element vectors.Classorg.ejml.alg.fixedEjml ( Efficient Java Matrix Library )javadoc
FixedOps5Common matrix operations for fixed sized matrices which are 5 x 5 or 5 element vectors.Classorg.ejml.alg.fixedEjml ( Efficient Java Matrix Library )javadoc
FixedOps6Common matrix operations for fixed sized matrices which are 6 x 6 or 6 element vectors.Classorg.ejml.alg.fixedEjml ( Efficient Java Matrix Library )javadoc
FunctionClassorg.ejml.equationEjml ( Efficient Java Matrix Library )javadoc
GeneratorBlockInnerMultiplicationClassorg.ejml.alg.blockEjml ( Efficient Java Matrix Library )javadoc
GenericMatrixOpsClassorg.ejml.alg.genericEjml ( Efficient Java Matrix Library )javadoc
HackClassorg.ejml.equationEjml ( Efficient Java Matrix Library )javadoc
HessenbergSimilarDecomposition_D64 Finds the decomposition of a matrix in the form of: where A is an m by m matrix, O is an orthogonal matrix, and H is an upper Hessenberg matrix.Classorg.ejml.alg.dense.decomposition.hessenbergEjml ( Efficient Java Matrix Library )javadoc
ImplCommonOps_DenseMatrix64F there is no need to directly invoke these functions.Classorg.ejml.alg.dense.miscEjml ( Efficient Java Matrix Library )javadoc
ImplCommonOps_Matrix64F there is no need to directly invoke these functions.Classorg.ejml.alg.dense.miscEjml ( Efficient Java Matrix Library )javadoc
InnerCholesky_B64Performs a cholesky decomposition on an individual inner block.Classorg.ejml.alg.block.decomposition.cholEjml ( Efficient Java Matrix Library )javadoc
IntegerSequenceInterfaceorg.ejml.equationEjml ( Efficient Java Matrix Library )javadoc
InvertUsingSolveA matrix can be easily inverted by solving a system with an identify matrix.Classorg.ejml.alg.dense.linsolEjml ( Efficient Java Matrix Library )javadoc
LinearSolver An implementation of LinearSolver solves a linear system or inverts a matrix.Interfaceorg.ejml.interfaces.linsolEjml ( Efficient Java Matrix Library )javadoc
LinearSolver_B64_to_D64Wrapper that allows to implements LinearSolver.Classorg.ejml.alg.dense.linsolEjml ( Efficient Java Matrix Library )javadoc
LinearSolverAbstract_CD64 An abstract class that provides some common functionality and a default implementation of invert that uses the solve function of the child class.Classorg.ejml.alg.dense.linsolEjml ( Efficient Java Matrix Library )javadoc
LinearSolverAbstract_D64 An abstract class that provides some common functionality and a default implementation of invert that uses the solve function of the child class.Classorg.ejml.alg.dense.linsolEjml ( Efficient Java Matrix Library )javadoc

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LinearSolverChol_B64A wrapper around CholeskyDecomposition(BlockMatrix64F) that allows it to be easily used with DenseMatrix64F.Classorg.ejml.alg.dense.linsol.cholEjml ( Efficient Java Matrix Library )javadoc
LinearSolverChol_CD64Classorg.ejml.alg.dense.linsol.cholEjml ( Efficient Java Matrix Library )javadoc
LinearSolverChol_D64Classorg.ejml.alg.dense.linsol.cholEjml ( Efficient Java Matrix Library )javadoc
LinearSolverCholLDL_D64Classorg.ejml.alg.dense.linsol.cholEjml ( Efficient Java Matrix Library )javadoc
LinearSolverFactoryA factory for generating solvers for systems of the form A*x=b, where A and B are known and x is unknown.Classorg.ejml.factoryEjml ( Efficient Java Matrix Library )javadoc
LinearSolverLu_CD64For each column in the B matrix it makes a copy, which is then solved for and writen into X.Classorg.ejml.alg.dense.linsol.luEjml ( Efficient Java Matrix Library )javadoc
LinearSolverLu_D64For each column in the B matrix it makes a copy, which is then solved for and writen into X.Classorg.ejml.alg.dense.linsol.luEjml ( Efficient Java Matrix Library )javadoc
LinearSolverLuBase_CD64Classorg.ejml.alg.dense.linsol.luEjml ( Efficient Java Matrix Library )javadoc
LinearSolverLuBase_D64Classorg.ejml.alg.dense.linsol.luEjml ( Efficient Java Matrix Library )javadoc
LinearSolverLuKJI_D64To avoid cpu cache issues the order in which the arrays are traversed have been changed.Classorg.ejml.alg.dense.linsol.luEjml ( Efficient Java Matrix Library )javadoc
LinearSolverQr_CD64 A solver for a generic QR decomposition algorithm.Classorg.ejml.alg.dense.linsol.qrEjml ( Efficient Java Matrix Library )javadoc
LinearSolverQr_D64 A solver for a generic QR decomposition algorithm.Classorg.ejml.alg.dense.linsol.qrEjml ( Efficient Java Matrix Library )javadoc
LinearSolverQrBlock64_D64Classorg.ejml.alg.dense.linsol.qrEjml ( Efficient Java Matrix Library )javadoc
LinearSolverQrHouse_CD64 QR decomposition can be used to solve for systems.Classorg.ejml.alg.dense.linsol.qrEjml ( Efficient Java Matrix Library )javadoc
LinearSolverQrHouse_D64 QR decomposition can be used to solve for systems.Classorg.ejml.alg.dense.linsol.qrEjml ( Efficient Java Matrix Library )javadoc
LinearSolverQrHouseCol_CD64 QR decomposition can be used to solve for systems.Classorg.ejml.alg.dense.linsol.qrEjml ( Efficient Java Matrix Library )javadoc
LinearSolverQrHouseCol_D64 QR decomposition can be used to solve for systems.Classorg.ejml.alg.dense.linsol.qrEjml ( Efficient Java Matrix Library )javadoc
LinearSolverQrHouseTran_CD64 QR decomposition can be used to solve for systems.Classorg.ejml.alg.dense.linsol.qrEjml ( Efficient Java Matrix Library )javadoc
LinearSolverQrHouseTran_D64 QR decomposition can be used to solve for systems.Classorg.ejml.alg.dense.linsol.qrEjml ( Efficient Java Matrix Library )javadoc
LinearSolverQrpHouseCol_D64 Performs a pseudo inverse solver using the QRColPivDecompositionHouseholderColumn_D64 decomposition directly.Classorg.ejml.alg.dense.linsol.qrEjml ( Efficient Java Matrix Library )javadoc
LinearSolverSafeEnsures that any linear solver it is wrapped around will never modify the input matrices.Classorg.ejml.alg.dense.linsolEjml ( Efficient Java Matrix Library )javadoc
LinearSolverUnrolledSolver which uses an unrolled inverse to compute the inverse.Classorg.ejml.alg.dense.linsolEjml ( Efficient Java Matrix Library )javadoc
LUDecomposition LU Decomposition refactors the original matrix such that: where P is a pivot matrix, L is a lower triangular matrix, U is an upper triangular matrix and A isInterfaceorg.ejml.interfaces.decompositionEjml ( Efficient Java Matrix Library )javadoc
LUDecompositionAlt_CD64 An LU decomposition algorithm that originally came from Jama.Classorg.ejml.alg.dense.decompose.luEjml ( Efficient Java Matrix Library )javadoc
LUDecompositionAlt_D64 An LU decomposition algorithm that originally came from Jama.Classorg.ejml.alg.dense.decomposition.luEjml ( Efficient Java Matrix Library )javadoc

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LUDecompositionBase_CD64 Contains common data structures and operations for LU decomposition algorithms.Classorg.ejml.alg.dense.decompose.luEjml ( Efficient Java Matrix Library )javadoc
LUDecompositionBase_D64 Contains common data structures and operations for LU decomposition algorithms.Classorg.ejml.alg.dense.decomposition.luEjml ( Efficient Java Matrix Library )javadoc
MacroDefinition of a macro.Classorg.ejml.equationEjml ( Efficient Java Matrix Library )javadoc
ManagerFunctionsCentralized place to create new instances of operations and functions.Classorg.ejml.equationEjml ( Efficient Java Matrix Library )javadoc
ManagerTempVariablesManages the creation and recycling of temporary variables used to store intermediate results.Classorg.ejml.equationEjml ( Efficient Java Matrix Library )javadoc
MatrixBase interface for all rectangular matricesCreates an exact copy of the matrixInterfaceorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
MatrixComponentRenders a matrix as an image.Classorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc
MatrixConstructormatrix used to construct a matrix from a sequence of concatenations.Classorg.ejml.equationEjml ( Efficient Java Matrix Library )javadoc
MatrixDimensionExceptionIf two matrices did not have compatible dimensions for the operation this exceptionAuthor:Peter AbelesSee Also:Serialized FormClassorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc
MatrixFeatures Used to compute features that describe the structure of a matrix.Classorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc
MatrixIOProvides simple to use routines for reading and writing matrices to and from files.Classorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc
MatrixIterator32FThis is a matrix iterator for traversing through a submatrix.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
MatrixIterator64FThis is a matrix iterator for traversing through a submatrix.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
MatrixMatrixMult This class contains various types of matrix matrix multiplication operations for RowD1Matrix64F.Classorg.ejml.alg.dense.multEjml ( Efficient Java Matrix Library )javadoc
MatrixMultProduct Specialized operations for performing inner and outer products for matrices.Classorg.ejml.alg.dense.multEjml ( Efficient Java Matrix Library )javadoc
MatrixVectorMult This class contains various types of matrix vector multiplcation operations for DenseMatrix64F.Classorg.ejml.alg.dense.multEjml ( Efficient Java Matrix Library )javadoc
MatrixVisualization Functions for visualizing matrices in a GUI matrices.Classorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc
NormOps Norms are a measure of the size of a vector or a matrix.Classorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc
OperationPerforms math operations.Classorg.ejml.equationEjml ( Efficient Java Matrix Library )javadoc
ParseErrorException generated for parse errors in EquationAuthor:Peter AbelesSee Also:Serialized FormClassorg.ejml.equationEjml ( Efficient Java Matrix Library )javadoc
QRColPivDecompositionHouseholderColumn_D64 Performs QR decomposition with column pivoting.Classorg.ejml.alg.dense.decomposition.qrEjml ( Efficient Java Matrix Library )javadoc
QRDecomposition QR decompositions decompose a rectangular matrix 'A' such that 'A=QR'.Interfaceorg.ejml.interfaces.decompositionEjml ( Efficient Java Matrix Library )javadoc
QRDecomposition_B64_to_D64Wrapper that allows QRDecomposition(BlockMatrix64F) to be used as a QRDecomposition(DenseMatrix64F).Classorg.ejml.alg.dense.decomposition.qrEjml ( Efficient Java Matrix Library )javadoc
QRDecompositionHouseholder_B64 QR decomposition for BlockMatrix64F using householder reflectors.Classorg.ejml.alg.block.decomposition.qrEjml ( Efficient Java Matrix Library )javadoc
QRDecompositionHouseholder_CD64 This variation of complex QR decomposition uses reflections to compute the Q matrix.Classorg.ejml.alg.dense.decompose.qrEjml ( Efficient Java Matrix Library )javadoc

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QRDecompositionHouseholder_D64 This variation of QR decomposition uses reflections to compute the Q matrix.Classorg.ejml.alg.dense.decomposition.qrEjml ( Efficient Java Matrix Library )javadoc
QRDecompositionHouseholderColumn_CD64 Householder QR decomposition is rich in operations along the columns of the matrix.Classorg.ejml.alg.dense.decompose.qrEjml ( Efficient Java Matrix Library )javadoc
QRDecompositionHouseholderColumn_D64 Householder QR decomposition is rich in operations along the columns of the matrix.Classorg.ejml.alg.dense.decomposition.qrEjml ( Efficient Java Matrix Library )javadoc
QRDecompositionHouseholderTran_CD64 Householder QR decomposition is rich in operations along the columns of the matrix.Classorg.ejml.alg.dense.decompose.qrEjml ( Efficient Java Matrix Library )javadoc
QRDecompositionHouseholderTran_D64 Householder QR decomposition is rich in operations along the columns of the matrix.Classorg.ejml.alg.dense.decomposition.qrEjml ( Efficient Java Matrix Library )javadoc
QrHelperFunctions_CD64 Contains different functions that are useful for computing the QR decomposition of a matrix.Classorg.ejml.alg.dense.decompose.qrEjml ( Efficient Java Matrix Library )javadoc
QrHelperFunctions_D64 Contains different functions that are useful for computing the QR decomposition of a matrix.Classorg.ejml.alg.dense.decomposition.qrEjml ( Efficient Java Matrix Library )javadoc
QRPDecomposition Similar to QRDecomposition but it can handle the rank deficient case by performing column pivots during the decomposition.Interfaceorg.ejml.interfaces.decompositionEjml ( Efficient Java Matrix Library )javadoc
QrUpdate The effects of adding and removing rows from the A matrix in a QR decomposition can be computed much faster than simply recomputing the whole decomposition.Classorg.ejml.alg.dense.decomposition.qrEjml ( Efficient Java Matrix Library )javadoc
RandomMatricesContains a list of functions for creating random dense real matrices and vectors with different structures.Classorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc
ReadCsv Base class for reading CSV formatted files.Classorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc
ReadMatrixCsvReads in a matrix that is in a column-space-value (CSV) format.Classorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc
RealMatrix32FInterface for all 32 bit floating point rectangular matrices.Interfaceorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
RealMatrix64FInterface for all 64 bit floating point rectangular matrices.Interfaceorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
ReshapeMatrixMatrix which can be reshapedEquivalent to invoking reshape(numRows,numCols,false);Interfaceorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
RowD1Matrix64FInterface for a row-major matrix that uses a single array internally.Classorg.ejml.dataEjml ( Efficient Java Matrix Library )javadoc
SafeSvdWraps around a SingularValueDecomposition and ensures that the input is not modified.Classorg.ejml.alg.dense.decomposition.svdEjml ( Efficient Java Matrix Library )javadoc
SequenceContains a sequence of operations.Classorg.ejml.equationEjml ( Efficient Java Matrix Library )javadoc
SimpleBaseParent of SimpleMatrix implements all the standard matrix operations and uses generics to allow the returned matrix type to be changed.Classorg.ejml.simpleEjml ( Efficient Java Matrix Library )javadoc
SimpleEVDClassorg.ejml.simpleEjml ( Efficient Java Matrix Library )javadoc
SimpleMatrix SimpleMatrix is a wrapper around DenseMatrix64F that provides an easy to use object oriented interface for performing matrix operations.Classorg.ejml.simpleEjml ( Efficient Java Matrix Library )javadoc
SimpleSVD Wrapper around SVD for simple matrix.Classorg.ejml.simpleEjml ( Efficient Java Matrix Library )javadoc
SimpleUnitTestsClassorg.ejml.simpleEjml ( Efficient Java Matrix Library )javadoc
SingularMatrixExceptionThis exception is thrown if an operation can not be finished because the matrix is singular.Classorg.ejml.factoryEjml ( Efficient Java Matrix Library )javadoc
SingularOpsOperations related to singular value decomposition.Classorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc

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SingularValueDecomposition This is an abstract class for computing the singular value decomposition (SVD) of a matrix, which is defined where A is m by n, and U and V are orthogonal matrices, and W is a diagonal matrix.Interfaceorg.ejml.interfaces.decompositionEjml ( Efficient Java Matrix Library )javadoc
SolvePseudoInverseQrp_D64 A pseudo inverse solver for a generic QR column pivot decomposition algorithm.Classorg.ejml.alg.dense.linsol.qrEjml ( Efficient Java Matrix Library )javadoc
SolvePseudoInverseSvd The pseudo-inverse is typically used to solve over determined system for which there is no unique solution.Classorg.ejml.alg.dense.linsol.svdEjml ( Efficient Java Matrix Library )javadoc
SpecializedOpsThis contains less common or more specialized matrix operations.Classorg.ejml.opsEjml ( Efficient Java Matrix Library )javadoc
SubmatrixOpsOperations that are performed on a submatrix inside a larger matrix.Classorg.ejml.alg.dense.multEjml ( Efficient Java Matrix Library )javadoc
SvdImplicitQrAlgorithm Computes the QR decomposition of a bidiagonal matrix.Classorg.ejml.alg.dense.decomposition.svd.implicitqrEjml ( Efficient Java Matrix Library )javadoc
SvdImplicitQrDecompose_D64 Computes the Singular value decomposition of a matrix using the implicit QR algorithm for singular value decomposition.Classorg.ejml.alg.dense.decomposition.svdEjml ( Efficient Java Matrix Library )javadoc
SwitchingEigenDecompositionChecks to see what type of matrix is being decomposed and calls different eigenvalue decomposition algorithms depending on the results.Classorg.ejml.alg.dense.decomposition.eigEjml ( Efficient Java Matrix Library )javadoc
SymbolTypes of low level operators which can be applied in the codeEnum Constant SummaryClassorg.ejml.equationEjml ( Efficient Java Matrix Library )javadoc
SymmetricQrAlgorithm Computes the eigenvalues and eigenvectors of a symmetric tridiagonal matrix using the symmetric QR algorithm.Classorg.ejml.alg.dense.decomposition.eig.symmEjml ( Efficient Java Matrix Library )javadoc
SymmetricQRAlgorithmDecomposition_D64 Computes the eigenvalues and eigenvectors of a real symmetric matrix using the symmetric implicit QR algorithm.Classorg.ejml.alg.dense.decomposition.eigEjml ( Efficient Java Matrix Library )javadoc
SymmetricQREigenHelperA helper class for the symmetric matrix implicit QR algorithm for eigenvalue decomposition.Classorg.ejml.alg.dense.decomposition.eig.symmEjml ( Efficient Java Matrix Library )javadoc
TransposeAlgsLow level transpose algorithms.Classorg.ejml.alg.dense.miscEjml ( Efficient Java Matrix Library )javadoc
TriangularSolver This contains algorithms for solving systems of equations where T is a non-singular triangular matrix:Classorg.ejml.alg.dense.decompositionEjml ( Efficient Java Matrix Library )javadoc
TridiagonalDecomposition_B64_to_D64Classorg.ejml.alg.dense.decomposition.hessenbergEjml ( Efficient Java Matrix Library )javadoc
TridiagonalDecompositionHouseholder_B64 Tridiagonal similar decomposition for block matrices.Classorg.ejml.alg.block.decomposition.hessenbergEjml ( Efficient Java Matrix Library )javadoc
TridiagonalDecompositionHouseholder_D64 Performs a similar tridiagonal decomposition on a square symmetric input matrix.Classorg.ejml.alg.dense.decomposition.hessenbergEjml ( Efficient Java Matrix Library )javadoc
TridiagonalDecompositionHouseholderOrig_D64 A straight forward implementation from "Fundamentals of Matrix Computations," Second Edition.Classorg.ejml.alg.dense.decomposition.hessenbergEjml ( Efficient Java Matrix Library )javadoc
TridiagonalHelper_B64Classorg.ejml.alg.block.decomposition.hessenbergEjml ( Efficient Java Matrix Library )javadoc
TridiagonalSimilarDecomposition Finds the decomposition of a matrix in the form of: where A is a symmetric m by m matrix, O is an orthogonal matrix, and T is a tridiagonal matrix.Interfaceorg.ejml.interfaces.decompositionEjml ( Efficient Java Matrix Library )javadoc
UnrolledDeterminantFromMinorClassorg.ejml.alg.dense.miscEjml ( Efficient Java Matrix Library )javadoc
UnrolledInverseFromMinorThis code was auto generated by GenerateInverseFromMinor and should not be modified directly.Classorg.ejml.alg.dense.miscEjml ( Efficient Java Matrix Library )javadoc
UtilEjmlVarious functions that are useful but don't have a clear location that they belong in.Classorg.ejmlEjml ( Efficient Java Matrix Library )javadoc
UtilSimpleMatrixClassorg.ejml.simpleEjml ( Efficient Java Matrix Library )javadoc
VariableInstance of a variable created at compile time.Classorg.ejml.equationEjml ( Efficient Java Matrix Library )javadoc

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VariableDoubleVariable which stores an instance of double.Classorg.ejml.equationEjml ( Efficient Java Matrix Library )javadoc
VariableIntegerVariable which stores an instance of int.Classorg.ejml.equationEjml ( Efficient Java Matrix Library )javadoc
VariableIntegerSequenceClassorg.ejml.equationEjml ( Efficient Java Matrix Library )javadoc
VariableMatrixStorage for matrix type variables.Classorg.ejml.equationEjml ( Efficient Java Matrix Library )javadoc
VariableScalarVariable for storing primitive scalar data types, e.Classorg.ejml.equationEjml ( Efficient Java Matrix Library )javadoc
VariableTypeList of the types of variables.Classorg.ejml.equationEjml ( Efficient Java Matrix Library )javadoc
VectorVectorMultOperations that involve multiplication of two vectors.Classorg.ejml.alg.dense.multEjml ( Efficient Java Matrix Library )javadoc
WatchedDoubleStepQRDecomposition_D64 Finds the eigenvalue decomposition of an arbitrary square matrix using the implicit double-step QR algorithm.Classorg.ejml.alg.dense.decomposition.eigEjml ( Efficient Java Matrix Library )javadoc
WatchedDoubleStepQREigen The double step implicit Eigenvalue decomposition algorithm is fairly complicated and needs to be designed so that it can handle several special cases.Classorg.ejml.alg.dense.decomposition.eig.watchedEjml ( Efficient Java Matrix Library )javadoc
WatchedDoubleStepQREigenvalueClassorg.ejml.alg.dense.decomposition.eig.watchedEjml ( Efficient Java Matrix Library )javadoc
WatchedDoubleStepQREigenvectorClassorg.ejml.alg.dense.decomposition.eig.watchedEjml ( Efficient Java Matrix Library )javadoc

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