Uses of Interface
dev.nm.misc.datastructure.Table
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Uses of Table in dev.nm.algebra.linear.matrix.doubles
Subinterfaces of Table in dev.nm.algebra.linear.matrix.doubles Modifier and Type Interface Description interfaceMatrixinterfaceMatrixAccessThis interface defines the methods for accessing entries in a matrix.interfaceMatrixTableA matrix is represented by a rectangular table structure with accessors.Classes in dev.nm.algebra.linear.matrix.doubles that implement Table Modifier and Type Class Description classImmutableMatrixThis is a read-only view of aMatrixinstance. -
Uses of Table in dev.nm.algebra.linear.matrix.doubles.matrixtype
Classes in dev.nm.algebra.linear.matrix.doubles.matrixtype that implement Table Modifier and Type Class Description classDefaultMatrixStorageThere are multiple ways to implement the storage data structure depending on the matrix type for optimization purpose.classGivensMatrixGivens rotation is a rotation in the plane spanned by two coordinates axes.classHilbertMatrixA Hilbert matrix, H, is a symmetric matrix with entries being the unit fractions H[i][j] = 1 / (i + j -1)classPermutationMatrixA permutation matrix is a square matrix that has exactly one entry '1' in each row and each column and 0's elsewhere. -
Uses of Table in dev.nm.algebra.linear.matrix.doubles.matrixtype.dense
Classes in dev.nm.algebra.linear.matrix.doubles.matrixtype.dense that implement Table Modifier and Type Class Description classDenseDataThis implementation of the storage of a dense matrix stores the data of a 2D matrix as an 1D array.classDenseMatrixThis class implements the standard, dense,doublebased matrix representation. -
Uses of Table in dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.diagonal
Classes in dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.diagonal that implement Table Modifier and Type Class Description classBidiagonalMatrixA bi-diagonal matrix is either upper or lower diagonal.classDiagonalMatrixA diagonal matrix has non-zero entries only on the main diagonal.classTridiagonalMatrixA tri-diagonal matrix has non-zero entries only on the super, main and sub diagonals. -
Uses of Table in dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.triangle
Classes in dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.triangle that implement Table Modifier and Type Class Description classLowerTriangularMatrixA lower triangular matrix has 0 entries where column index > row index.classSymmetricMatrixA symmetric matrix is a square matrix such that its transpose equals to itself, i.e.,A[i][j] = A[j][i]classUpperTriangularMatrixAn upper triangular matrix has 0 entries where row index is greater than column index. -
Uses of Table in dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse
Subinterfaces of Table in dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse Modifier and Type Interface Description interfaceSparseMatrixA sparse matrix stores only non-zero values.Classes in dev.nm.algebra.linear.matrix.doubles.matrixtype.sparse that implement Table Modifier and Type Class Description classCSRSparseMatrixThe Compressed Sparse Row (CSR) format for sparse matrix has this representation:(value, col_ind, row_ptr).classDOKSparseMatrixThe Dictionary Of Key (DOK) format for sparse matrix uses the coordinates of non-zero entries in the matrix as keys.classLILSparseMatrixThe list of lists (LIL) format for sparse matrix stores one list per row, where each entry stores a column index and value. -
Uses of Table in dev.nm.algebra.linear.matrix.doubles.operation
Classes in dev.nm.algebra.linear.matrix.doubles.operation that implement Table Modifier and Type Class Description classColumnBindMatrixA fast "cbind" matrix from vectors.classCongruentMatrixGiven a matrix A and an invertible matrix P, we create the congruent matrix B s.t., B = P'APclassDiagonalSumAdd diagonal elements to a matrix, an efficient implementation.classElementaryOperationThere are three elementary row operations which are equivalent to left multiplying an elementary matrix.classFastKroneckerProductThis is a fast and memory-saving implementation of computing the Kronecker product.classInverseFor a square matrix A, the inverse, A-1, if exists, satisfiesA.multiply(A.inverse()) == A.ONE()There are multiple ways to compute the inverse of a matrix.classKroneckerProductGiven an m-by-n matrix A and a p-by-q matrix B, their Kronecker product C, also called their matrix direct product, is an (mp)-by-(nq) matrix with entries defined by cst = aij bkl whereclassMATMATis the inverse operator ofSVEC.classMatrixRootByDiagonalizationThe square root of a matrix extends the notion of square root from numbers to matrices.classOuterProductThe outer product of two vectors a and b, is a row vector multiplied on the left by a column vector.classPowThis is a square matrix A to the power of an integer n, An.classPseudoInverseThe Moore-Penrose pseudo-inverse of an m x n matrix A is A+.classSimilarMatrixGiven a matrix A and an invertible matrix P, we construct the similar matrix B s.t., B = P-1APclassSubMatrixRefThis is a 'reference' to a sub-matrix of a larger matrix without copying it.classSymmetricKroneckerCompute the symmetric Kronecker product of two matrices. -
Uses of Table in dev.nm.algebra.linear.matrix.doubles.operation.positivedefinite
Classes in dev.nm.algebra.linear.matrix.doubles.operation.positivedefinite that implement Table Modifier and Type Class Description classGoldfeldQuandtTrotterGoldfeld, Quandt and Trotter propose the following way to coerce a non-positive definite Hessian matrix to become symmetric, positive definite.classMatthewsDaviesMatthews and Davies propose the following way to coerce a non-positive definite Hessian matrix to become symmetric, positive definite.classPositiveDefiniteMatrixByPositiveDiagonalThis 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, e.g., 0.classPositiveSemiDefiniteMatrixNonNegativeDiagonalThis 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. -
Uses of Table in dev.nm.algebra.linear.matrix.generic
Subinterfaces of Table in dev.nm.algebra.linear.matrix.generic Modifier and Type Interface Description interfaceGenericMatrix<T extends GenericMatrix<T,F>,F extends Field<F>>This class defines a matrix over a field. -
Uses of Table in dev.nm.algebra.linear.matrix.generic.matrixtype
Classes in dev.nm.algebra.linear.matrix.generic.matrixtype that implement Table Modifier and Type Class Description classComplexMatrixThis is aComplexmatrix.classGenericFieldMatrix<F extends Field<F>>This is a generic matrix over aField.classRealMatrixThis is aRealmatrix. -
Uses of Table in dev.nm.analysis.differentiation.multivariate
Classes in dev.nm.analysis.differentiation.multivariate that implement Table Modifier and Type Class Description classBorderedHessianA bordered Hessian matrix consists of the Hessian of a multivariate function f, and the gradient of a multivariate function g.classHessianThe Hessian matrix is the square matrix of the second-order partial derivatives of a multivariate function.classJacobianThe Jacobian matrix is the matrix of all first-order partial derivatives of a vector-valued function. -
Uses of Table in dev.nm.misc.datastructure
Classes in dev.nm.misc.datastructure that implement Table Modifier and Type Class Description classFlexibleTableThis is a 2D table that can shrink or grow by row or by column.Methods in dev.nm.misc.datastructure with parameters of type Table Modifier and Type Method Description static booleanDimensionCheck. isArray(Table A)Check if a table is a row or a column.static booleanDimensionCheck. isColumn(Table A)Check if a table is a column.static booleanDimensionCheck. isFat(Table A)Check if a table is fat.static booleanDimensionCheck. isRow(Table A)Check if a table is a row.static booleanDimensionCheck. isSameDimension(Table A1, Table A2)Check if two tables have the same dimension.static booleanDimensionCheck. isSquare(Table A)Check if a table is square.static booleanDimensionCheck. isTall(Table A)Check if a table is tall.static voidDimensionCheck. throwIfDifferentDimension(Table A1, Table A2)Throws ifA1.nRows() != A2.nRows()OrA1.nCols() != A2.nCols()static voidDimensionCheck. throwIfIncompatible4Multiplication(Table A, Vector v)Throws ifA.nCols() != v.size()static voidDimensionCheck. throwIfIncompatible4Multiplication(Table A1, Table A2)Throws ifA1.nCols() != A2.nRows()static voidDimensionCheck. throwIfInvalidColumn(Table A, int j)Throws if accessing an out of range column.static voidDimensionCheck. throwIfInvalidRow(Table A, int i)Throws if accessing an out of range row. -
Uses of Table in dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex
Classes in dev.nm.solver.multivariate.constrained.convex.sdp.socp.qp.lp.simplex that implement Table Modifier and Type Class Description classSimplexTableThis is a simplex table used to solve a linear programming problem using a simplex method. -
Uses of Table in dev.nm.stat.descriptive.correlation
Classes in dev.nm.stat.descriptive.correlation that implement Table Modifier and Type Class Description classCorrelationMatrixThe correlation matrix of n random variables X1, ..., Xn is the n × n matrix whose i,j entry is corr(Xi, Xj), the correlation between X1 and Xn. -
Uses of Table in dev.nm.stat.descriptive.covariance
Classes in dev.nm.stat.descriptive.covariance that implement Table Modifier and Type Class Description classSampleCovarianceThis class computes the Covariance matrix of a matrix, where the (i, j) entry is the covariance of the i-th column and j-th column of the matrix. -
Uses of Table in tech.nmfin.returns
Classes in tech.nmfin.returns that implement Table Modifier and Type Class Description classReturnsMatrix
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