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  2. Scaling (geometry) - Wikipedia

    en.wikipedia.org/wiki/Scaling_(geometry)

    Each iteration of the Sierpinski triangle contains triangles related to the next iteration by a scale factor of 1/2. In affine geometry, uniform scaling (or isotropic scaling [1]) is a linear transformation that enlarges (increases) or shrinks (diminishes) objects by a scale factor that is the same in all directions (isotropically).

  3. Homothety - Wikipedia

    en.wikipedia.org/wiki/Homothety

    Such a transformation can be called an enlargement if the scale factor exceeds 1. The above-mentioned fixed point S is called homothetic center or center of similarity or center of similitude . The term, coined by French mathematician Michel Chasles , is derived from two Greek elements: the prefix homo- ( όμο ' similar ' }; and transl. grc ...

  4. Scale analysis (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Scale_analysis_(mathematics)

    Scale analysis is very useful and widely used tool for solving problems in the area of heat transfer and fluid mechanics, pressure-driven wall jet, separating flows behind backward-facing steps, jet diffusion flames, study of linear and non-linear dynamics. Scale analysis is an effective shortcut for obtaining approximate solutions to equations ...

  5. Hausdorff dimension - Wikipedia

    en.wikipedia.org/wiki/Hausdorff_dimension

    The Sierpinski triangle is a union of three copies of itself, each copy shrunk by a factor of 1/2; this yields a Hausdorff dimension of ln(3)/ln(2) ≈ 1.58. [1] These Hausdorff dimensions are related to the "critical exponent" of the Master theorem for solving recurrence relations in the analysis of algorithms.

  6. Scale parameter - Wikipedia

    en.wikipedia.org/wiki/Scale_parameter

    This scale factor is defined as the theoretical value of the value obtained by dividing the required scale parameter by the asymptotic value of the statistic. Note that the scale factor depends on the distribution in question. For instance, in order to use the median absolute deviation (MAD) to estimate the standard deviation of the normal ...

  7. Log–log plot - Wikipedia

    en.wikipedia.org/wiki/Log–log_plot

    Comparison of linear, concave, and convex functions when plotted using a linear scale (left) or a log scale (right). In science and engineering , a log–log graph or log–log plot is a two-dimensional graph of numerical data that uses logarithmic scales on both the horizontal and vertical axes.

  8. Mercator projection - Wikipedia

    en.wikipedia.org/wiki/Mercator_projection

    at latitude 45° the scale factor is k = sec 45° ≈ 1.41, at latitude 60° the scale factor is k = sec 60° = 2, at latitude 80° the scale factor is k = sec 80° ≈ 5.76, at latitude 85° the scale factor is k = sec 85° ≈ 11.5. The area scale factor is the product of the parallel and meridian scales hk = sec 2 φ.

  9. Friedmann equations - Wikipedia

    en.wikipedia.org/wiki/Friedmann_equations

    From the generic solution one easily sees that in a matter-dominated universe the scale factor goes as / matter-dominated Another important example is the case of a radiation-dominated universe, namely when w = ⁠ 1 / 3 ⁠.