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  • Thumbnail for Tensor
    (electromagnetic tensor, Maxwell tensor, permittivity, magnetic susceptibility, ...), and general relativity (stress–energy tensor, curvature tensor, ...). In...
    69 KB (9,357 words) - 21:08, 17 June 2025
  • multidimensional array (M-way array), informally referred to as a "data tensor"; however, in the strict mathematical sense, a tensor is a multilinear...
    31 KB (4,104 words) - 16:37, 16 June 2025
  • two vectors is sometimes called an elementary tensor or a decomposable tensor. The elementary tensors span V ⊗ W {\displaystyle V\otimes W} in the sense...
    50 KB (8,677 words) - 07:36, 29 May 2025
  • multidimensional array type can be called a tensor type, by analogy with the mathematical concept, tensor. Language support for array types may include...
    20 KB (2,642 words) - 17:12, 28 May 2025
  • In multilinear algebra, a tensor decomposition is any scheme for expressing a "data tensor" (M-way array) as a sequence of elementary operations acting...
    7 KB (760 words) - 06:09, 26 May 2025
  • foundation of tensor theory – tensor index notation. Order of a tensor The components of a tensor with respect to a basis is an indexed array. The order...
    8 KB (1,034 words) - 11:00, 27 October 2024
  • metric field on M consists of a metric tensor at each point p of M that varies smoothly with p. A metric tensor g is positive-definite if g(v, v) > 0 for...
    56 KB (8,863 words) - 21:58, 19 May 2025
  • representation and manipulation of tensor operations). See the main article for further details. A vector treated as an array of numbers by writing as a row...
    10 KB (1,547 words) - 13:39, 27 January 2025
  • mathematical field of differential geometry, the Riemann curvature tensor or Riemann–Christoffel tensor (after Bernhard Riemann and Elwin Bruno Christoffel) is the...
    19 KB (2,934 words) - 18:43, 20 December 2024
  • notation and manipulation for tensors and tensor fields on a differentiable manifold, with or without a metric tensor or connection. It is also the modern...
    46 KB (7,275 words) - 11:43, 2 June 2025
  • Thumbnail for Tensor Processing Unit
    systolic arrays at the time and upon learning the term thought "Oh, that's called a systolic array? It just seemed to make sense." The tensor processing...
    36 KB (3,323 words) - 06:43, 1 June 2025
  • specialization of the tensor product (which is denoted by the same symbol) from vectors to matrices and gives the matrix of the tensor product linear map...
    41 KB (6,211 words) - 12:34, 3 June 2025
  • corresponding gravitational potential being the metric tensor. When the coordinate system and the metric tensor share some symmetry, many of the Γijk are zero...
    47 KB (8,323 words) - 13:14, 18 May 2025
  • respect to a basis. The coordinate representation of a tensor can be regarded as a multi-dimensional array, and a bijection from one set of indices to another...
    10 KB (2,322 words) - 22:33, 24 March 2024
  • independent of any metric tensor and coordinate system. Also, the specific term "symbol" emphasizes that it is not a tensor because of how it transforms...
    30 KB (5,174 words) - 14:49, 2 May 2025
  • two tensors (multidimensional arrays of numbers), their outer product is a tensor. The outer product of tensors is also referred to as their tensor product...
    18 KB (2,942 words) - 10:27, 19 March 2025
  • In computer science, array programming refers to solutions that allow the application of operations to an entire set of values at once. Such solutions...
    22 KB (2,610 words) - 18:30, 22 January 2025
  • Einstein in 1915 in the form of a tensor equation which related the local spacetime curvature (expressed by the Einstein tensor) with the local energy, momentum...
    35 KB (5,077 words) - 15:22, 28 May 2025
  • Thumbnail for TensorFlow
    from the original on January 16, 2019. Retrieved May 24, 2019. "uTensor and Tensor Flow Announcement | Mbed". os.mbed.com. Archived from the original...
    52 KB (4,060 words) - 10:57, 9 June 2025
  • multilinear algebra, the tensor rank decomposition or rank-R decomposition is the decomposition of a tensor as a sum of R rank-1 tensors, where R is minimal...
    36 KB (6,321 words) - 21:48, 6 June 2025
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