Package smile.tensor
package smile.tensor
A tensor is a multidimensional array. Mathematically, a tensor is an
algebraic object that describes a multilinear relationship between sets
of algebraic objects related to a vector space. Tensors may map between
different objects such as vectors, scalars, and even other tensors.
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ClassDescriptionThis class provides a skeletal implementation of the Tensor interface, to minimize the effort required to implement this interface.ARPACK is a collection of Fortran77 subroutines designed to solve large scale eigenvalue problems.Which eigenvalues of asymmetric matrix to compute.Which eigenvalues of symmetric matrix to compute.The square matrix of
A' * AorA * A', whichever is smaller.A band matrix is a sparse matrix, whose non-zero entries are confined to a diagonal band, comprising the main diagonal and zero or more diagonals on either side.The biconjugate gradient method to solve systems of linear equations.The Cholesky decomposition of a symmetric, positive-definite matrix.A dense matrix is a matrix where a large proportion of its elements are non-zero.Double precision matrix element stream consumer.Eigenvalue algorithms such as power iteration and Lanczos algorithms.Eigenvalue decomposition.A simple on-heap Tensor implementation.The LU decomposition.Mathematical matrix interface.The preconditioner matrix.The QR decomposition.A scalar is a single number.The data type of scalar value.A sparse matrix is a matrix populated primarily with zeros.Singular Value Decomposition.The symmetric matrix in packed storage.A Tensor is a multidimensional array containing elements of a single data type.Mathematical vector interface.