From Wikipedia, the free encyclopedia

H-matrix can refer to various kinds of matrices denoted by the letter H:

  • H-matrix, a matrix whose comparison matrix is an M-matrix
  • Hadamard matrix, a square matrix whose entries are either +1 or −1 and whose rows are mutually orthogonal
  • Hamiltonian matrix, a 2n × 2n matrix A such that JA is symmetric, where J is the skew-symmetric matrix
  • Hankel matrix, a square matrix in which each ascending skew-diagonal from left to right is constant
  • Hasse–Witt matrix
  • Hat matrix
  • Hermitian matrix, a complex square matrix that is equal to its own conjugate transpose
  • Hessenberg matrix, a square matrix that has either zero entries below the first subdiagonal, zero entries above the first superdiagonal, or both
  • Hessian matrix, a square matrix of second-order partial derivatives of a scalar-valued function, or scalar field, that describes the local curvature of a function of many variables
  • Hierarchical matrix, a data-sparse approximation of a non-sparse matrix
  • Hilbert matrix, a square matrix with entries being the unit fractions
  • Hollow matrix, a square matrix or related classes of matrix
  • Hurwitz matrix, a square matrix constructed with coefficients of a real polynomial
From Wikipedia, the free encyclopedia

H-matrix can refer to various kinds of matrices denoted by the letter H:

  • H-matrix, a matrix whose comparison matrix is an M-matrix
  • Hadamard matrix, a square matrix whose entries are either +1 or −1 and whose rows are mutually orthogonal
  • Hamiltonian matrix, a 2n × 2n matrix A such that JA is symmetric, where J is the skew-symmetric matrix
  • Hankel matrix, a square matrix in which each ascending skew-diagonal from left to right is constant
  • Hasse–Witt matrix
  • Hat matrix
  • Hermitian matrix, a complex square matrix that is equal to its own conjugate transpose
  • Hessenberg matrix, a square matrix that has either zero entries below the first subdiagonal, zero entries above the first superdiagonal, or both
  • Hessian matrix, a square matrix of second-order partial derivatives of a scalar-valued function, or scalar field, that describes the local curvature of a function of many variables
  • Hierarchical matrix, a data-sparse approximation of a non-sparse matrix
  • Hilbert matrix, a square matrix with entries being the unit fractions
  • Hollow matrix, a square matrix or related classes of matrix
  • Hurwitz matrix, a square matrix constructed with coefficients of a real polynomial

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