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  2. Shift matrix - Wikipedia

    en.wikipedia.org/wiki/Shift_matrix

    Postmultiplication by a lower shift matrix results in a shift left. Similar operations involving an upper shift matrix result in the opposite shift. Clearly all finite-dimensional shift matrices are nilpotent; an n × n shift matrix S becomes the zero matrix when raised to the power of its dimension n. Shift matrices act on shift spaces.

  3. Boyer–Moore string-search algorithm - Wikipedia

    en.wikipedia.org/wiki/Boyer–Moore_string-search...

    If t ′ does not exist, then shift the left end of P to the right by the least amount (past the left end of t in T) so that a prefix of the shifted pattern matches a suffix of t in T. This includes cases where t is an exact match of P. If no such shift is possible, then shift P by m (length of P) places to the right.

  4. Shift operator - Wikipedia

    en.wikipedia.org/wiki/Shift_operator

    Shift operators are examples of linear operators, important for their simplicity and natural occurrence. The shift operator action on functions of a real variable plays an important role in harmonic analysis, for example, it appears in the definitions of almost periodic functions, positive-definite functions, derivatives, and convolution. [2]

  5. MATLAB - Wikipedia

    en.wikipedia.org/wiki/MATLAB

    That is, the array starts at 1 (the initial value), increments with each step from the previous value by 2 (the increment value), and stops once it reaches (or is about to exceed) 9 (the terminator value). The increment value can actually be left out of this syntax (along with one of the colons), to use a default value of 1. >>

  6. Truncated normal distribution - Wikipedia

    en.wikipedia.org/wiki/Truncated_normal_distribution

    Regardless of whether the random variable is bounded above, below, or both, the truncation is a mean-preserving contraction combined with a mean-changing rigid shift, and hence the variance of the truncated distribution is less than the variance of the original normal distribution.

  7. Hessenberg matrix - Wikipedia

    en.wikipedia.org/wiki/Hessenberg_matrix

    In linear algebra, a Hessenberg matrix is a special kind of square matrix, one that is "almost" triangular.To be exact, an upper Hessenberg matrix has zero entries below the first subdiagonal, and a lower Hessenberg matrix has zero entries above the first superdiagonal. [1]

  8. Fold (higher-order function) - Wikipedia

    en.wikipedia.org/wiki/Fold_(higher-order_function)

    On lists, there are two obvious ways to carry this out: either by combining the first element with the result of recursively combining the rest (called a right fold), or by combining the result of recursively combining all elements but the last one, with the last element (called a left fold).

  9. Fourier transform - Wikipedia

    en.wikipedia.org/wiki/Fourier_transform

    The hypotheses can be weakened, as in the results of Carleson and Hunt, to f(t) e −at being L 1, provided that f be of bounded variation in a closed neighborhood of t (cf. Dini test), the value of f at t be taken to be the arithmetic mean of the left and right limits, and that the integrals be taken in the sense of Cauchy principal values. [42]