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  2. Self-similarity - Wikipedia

    en.wikipedia.org/wiki/Self-similarity

    Many objects in the real world, such as coastlines, are statistically self-similar: parts of them show the same statistical properties at many scales. [2] Self-similarity is a typical property of fractals. Scale invariance is an exact form of self-similarity where at any magnification there is a smaller piece of the object that is similar to ...

  3. Self-similar solution - Wikipedia

    en.wikipedia.org/wiki/Self-similar_solution

    The normal self-similar solution is also referred to as a self-similar solution of the first kind, since another type of self-similar exists for finite-sized problems, which cannot be derived from dimensional analysis, known as a self-similar solution of the second kind.

  4. Self-similar process - Wikipedia

    en.wikipedia.org/wiki/Self-similar_process

    Self-similar processes are stochastic processes satisfying a mathematically precise version of the self-similarity property. Several related properties have this name, and some are defined here. A self-similar phenomenon behaves the same when viewed at different degrees of magnification, or different scales on a dimension.

  5. Fractal - Wikipedia

    en.wikipedia.org/wiki/Fractal

    Self-similarity, which may include: Exact self-similarity: identical at all scales, such as the Koch snowflake; Quasi self-similarity: approximates the same pattern at different scales; may contain small copies of the entire fractal in distorted and degenerate forms; e.g., the Mandelbrot set's satellites are approximations of the entire set ...

  6. Scale invariance - Wikipedia

    en.wikipedia.org/wiki/Scale_invariance

    A Koch curve is self-similar. It is sometimes said that fractals are scale-invariant, although more precisely, one should say that they are self-similar. A fractal is equal to itself typically for only a discrete set of values λ, and even then a translation and rotation may have to be applied to match the fractal up to itself.

  7. Self-similarity matrix - Wikipedia

    en.wikipedia.org/wiki/Self-similarity_matrix

    In data analysis, the self-similarity matrix is a graphical representation of similar sequences in a data series.. Similarity can be explained by different measures, like spatial distance (distance matrix), correlation, or comparison of local histograms or spectral properties (e.g. IXEGRAM [1]).

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  9. Logarithmic spiral - Wikipedia

    en.wikipedia.org/wiki/Logarithmic_spiral

    To adjust for this variation of kerf, the self-similar property of the logarithmic spiral has been used to design a kerf cancelling mechanism for laser cutters. [18] Logarithmic spiral bevel gears are a type of spiral bevel gear whose gear tooth centerline is a logarithmic spiral. A logarithmic spiral has the advantage of providing equal angles ...