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  2. Three-point estimation - Wikipedia

    en.wikipedia.org/wiki/Three-point_estimation

    For example, a triangular distribution might be used, depending on the application. In three-point estimation, three figures are produced initially for every distribution that is required, based on prior experience or best-guesses: a = the best-case estimate; m = the most likely estimate; b = the worst-case estimate

  3. Romberg's method - Wikipedia

    en.wikipedia.org/wiki/Romberg's_method

    The same formula is then used to compare the four piece and the two piece estimate, and likewise for the higher estimates; For the second iteration the values of the first iteration are used in the formula ⁠ 16 × (more accurate) − (less accurate) / 15 ⁠ The third iteration uses the next power of 4: ⁠ 64 × (more accurate) − (less ...

  4. Triangular decomposition - Wikipedia

    en.wikipedia.org/wiki/Triangular_decomposition

    Moreover, the Author, Wen-Tsun Wu, realized an implementation of this method and reported experimental data in his 1987 pioneer article titled "A zero structure theorem for polynomial equations solving". [1] To put this work into context, let us recall what was the common idea of an algebraic set decomposition at the time this article was written.

  5. Cholesky decomposition - Wikipedia

    en.wikipedia.org/wiki/Cholesky_decomposition

    In linear algebra, the Cholesky decomposition or Cholesky factorization (pronounced / ʃ ə ˈ l ɛ s k i / shə-LES-kee) is a decomposition of a Hermitian, positive-definite matrix into the product of a lower triangular matrix and its conjugate transpose, which is useful for efficient numerical solutions, e.g., Monte Carlo simulations.

  6. Triangular distribution - Wikipedia

    en.wikipedia.org/wiki/Triangular_distribution

    This distribution for a = 0, b = 1 and c = 0.5—the mode (i.e., the peak) is exactly in the middle of the interval—corresponds to the distribution of the mean of two standard uniform variables, that is, the distribution of X = (X 1 + X 2) / 2, where X 1, X 2 are two independent random variables with standard uniform distribution in [0, 1]. [1]

  7. Jacobi method - Wikipedia

    en.wikipedia.org/wiki/Jacobi_method

    In numerical linear algebra, the Jacobi method (a.k.a. the Jacobi iteration method) is an iterative algorithm for determining the solutions of a strictly diagonally dominant system of linear equations. Each diagonal element is solved for, and an approximate value is plugged in. The process is then iterated until it converges.

  8. Householder's method - Wikipedia

    en.wikipedia.org/wiki/Householder's_method

    Suppose f is analytic in a neighborhood of a and f(a) = 0.Then f has a Taylor series at a and its constant term is zero. Because this constant term is zero, the function f(x) / (x − a) will have a Taylor series at a and, when f ′ (a) ≠ 0, its constant term will not be zero.

  9. Ternary plot - Wikipedia

    en.wikipedia.org/wiki/Ternary_plot

    There are three equivalent methods that can be used to determine the values of a point on the plot: Parallel line or grid method. The first method is to use a diagram grid consisting of lines parallel to the triangle edges. A parallel to a side of the triangle is the locus of points constant in the component situated in the vertex opposed to ...

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