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#Com.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation Classes and Interfaces - 31 results found.
NameDescriptionTypePackageFramework
ColumnBindMatrixA fast "cbind" matrix from vectors.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu
CongruentMatrixGiven a matrix A and an invertible matrix P, we create the congruent matrixSee Also:Wikipedia: Matrix congruenceClasscom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu
DiagonalSumAdd diagonal elements to a matrix, an efficient implementation.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu
ElementaryOperationThere are three elementary row operations which are equivalent to left multiplying an elementary They are row switching, row multiplication, and row addition.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu
FastKroneckerProductThis is a fast and memory-saving implementation of computing the Kronecker product.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu
GoldfeldQuandtTrotterGoldfeld, Quandt and Trotter propose the following way to coerce a non-positive definite Hessian matrix to become symmetric, positive definite.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.positivedefiniteSuanShu
Householder4SubVectorFaster implementation of Householder reflection for sub-vectors at a given index.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.householderSuanShu
Householder4ZeroGeneratorFaster implementation of Householder reflection for zero generator vector.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.householderSuanShu
HouseholderContextThis is the context information about a Householder transformation.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.householderSuanShu
HouseholderInPlaceMaintains the matrix to be transformed by a sequence of Householder reflections.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.householderSuanShu
HouseholderInPlace .HouseholderClasscom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.householderSuanShu
HouseholderReflectionA Householder transformation in the 3-dimensional space is the reflection of a vector in the The plane, containing the origin, is uniquely defined by a unit vector,Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.householderSuanShu
InnerProductThe Frobenius inner product is the component-wise inner product of two matrices as though they are vectors.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu
InverseFor a square matrix A, the inverse, A-1, if exists, satisfies A.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu
KroneckerProductGiven an m-by-n matrix A and a p-by-q matrix B, their Kronecker product C, also called their matrix direct product, isClasscom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu
MATMAT is the inverse operator of SVEC.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu
MatrixFactoryThese are the utility functions to create a new matrix/vector from existing ones.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu
MatrixMeasureClasscom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu
MatrixRootByDiagonalizationThe square root of a matrix extends the notion of square root from numbers to matrices.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu
MatrixUtilsThese are the utility functions to apply to matrices.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu
MatthewsDaviesMatthews and Davies propose the following way to coerce a non-positive definite Hessian matrix to become symmetric, positive definite.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.positivedefiniteSuanShu
OuterProductThe outer product of two vectors a and b, is a row vector multiplied on the left by a column vector.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu
PositiveDefiniteMatrixByPositiveDiagonalThis class "converts" a matrix into a symmetric, positive definite matrix, if it is not already so, by forcing the diagonal entries in the eigen decomposition to a small non-negative number,Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.positivedefiniteSuanShu
PositiveSemiDefiniteMatrixNonNegativeDiagonalThis class "converts" a matrix into a symmetric, positive semi-definite matrix, if it is not already so, by forcing the negative diagonal entries in the eigen decomposition to 0.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operation.positivedefiniteSuanShu
PowThis is a square matrix A to the power of an integer n, An.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu
PseudoInverseThe Moore-Penrose pseudo-inverse of an m x n matrix A is A+.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu
SimilarMatrixGiven a matrix A and an invertible matrix P, we construct the similar matrixSee Also:Wikipedia: Similar matrixClasscom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu
SubMatrixRefThis is a 'reference' to a sub-matrix of a larger matrix without copying it.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu
SVECSVEC converts a symmetric matrix K = {Kij} into a vector of dimension n(n+1)/2.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu
SymmetricKroneckerCompute the symmetric Kronecker product of two matrices.Classcom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu
VariancebtXClasscom.numericalmethod.suanshu.algebra.linear.matrix.doubles.operationSuanShu