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  2. Circular convolution - Wikipedia

    en.wikipedia.org/wiki/Circular_convolution

    Circular convolution, also known as cyclic convolution, is a special case of periodic convolution, which is the convolution of two periodic functions that have the same period. Periodic convolution arises, for example, in the context of the discrete-time Fourier transform (DTFT).

  3. Convolution - Wikipedia

    en.wikipedia.org/wiki/Convolution

    The convolution of f and g exists if f and g are both Lebesgue integrable functions in L 1 (R d), and in this case f∗g is also integrable (Stein & Weiss 1971, Theorem 1.3). This is a consequence of Tonelli's theorem. This is also true for functions in L 1, under the discrete convolution, or more generally for the convolution on any group.

  4. Free convolution - Wikipedia

    en.wikipedia.org/wiki/Free_convolution

    Free convolution is the free probability analog of the classical notion of convolution of probability measures. Due to the non-commutative nature of free probability theory, one has to talk separately about additive and multiplicative free convolution, which arise from addition and multiplication of free random variables (see below; in the classical case, what would be the analog of free ...

  5. Tensor (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Tensor_(machine_learning)

    In machine learning, the term tensor informally refers to two different concepts for organizing and representing data. Data may be organized in a multidimensional array (M-way array), informally referred to as a "data tensor"; however, in the strict mathematical sense, a tensor is a multilinear mapping over a set of domain vector spaces to a range vector space.

  6. Matrix multiplication algorithm - Wikipedia

    en.wikipedia.org/wiki/Matrix_multiplication...

    However, this requires replicating each input matrix element p 1/3 times, and so requires a factor of p 1/3 more memory than is needed to store the inputs. This algorithm can be combined with Strassen to further reduce runtime. [31] "2.5D" algorithms provide a continuous tradeoff between memory usage and communication bandwidth. [32]

  7. Difference bound matrix - Wikipedia

    en.wikipedia.org/wiki/Difference_bound_matrix

    In model checking, a field of computer science, a difference bound matrix (DBM) is a data structure used to represent some convex polytopes called zones.This structure can be used to efficiently implement some geometrical operations over zones, such as testing emptyness, inclusion, equality, and computing the intersection and the sum of two zones.

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  9. Quaternion algebra - Wikipedia

    en.wikipedia.org/wiki/Quaternion_algebra

    In mathematics, a quaternion algebra over a field F is a central simple algebra A over F [1] [2] that has dimension 4 over F.Every quaternion algebra becomes a matrix algebra by extending scalars (equivalently, tensoring with a field extension), i.e. for a suitable field extension K of F, is isomorphic to the 2 × 2 matrix algebra over K.