Matrix theory

Hadamard product (matrices)

In mathematics, the Hadamard product (also known as the element-wise product, entrywise product or Schur product) is a binary operation that takes two matrices of the same dimensions and produces another matrix of the same dimension as the operands, where each element i, j is the product of elements i, j of the original two matrices. It is to be distinguished from the more common matrix product. It is attributed to, and named after, either French mathematician Jacques Hadamard or German Russian mathematician Issai Schur. The Hadamard product is associative and distributive. Unlike the matrix product, it is also commutative. (Wikipedia).

Hadamard product (matrices)
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NumPy | MATLAB | GAUSS (software) | Pointwise product | Trace (linear algebra) | HP Prime | Armadillo (C++ library) | Identity matrix | Eigen (C++ library) | Frobenius inner product | Diagonal matrix | Determinant | Conjugate transpose | GNU Octave | Long short-term memory | Gated recurrent unit | Digital antenna array | Julia (programming language) | Mathematics | R (programming language) | Tensor | Artificial neural network | Kronecker product | Distributive property | Khatri–Rao product | Matrix multiplication | Issai Schur | Jacques Hadamard | Matrix (mathematics) | Matrix of ones | Binary operation | SymPy | Wolfram Language