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  2. Shrink-fitting - Wikipedia

    en.wikipedia.org/wiki/Shrink-fitting

    Shrink-fitting. Shrink-fitting is a technique in which an interference fit is achieved by a relative size change after assembly. This is usually achieved by heating or cooling one component before assembly and allowing it to return to the ambient temperature after assembly, employing the phenomenon of thermal expansion to make a joint. For ...

  3. Stretched exponential function - Wikipedia

    en.wikipedia.org/wiki/Stretched_exponential_function

    The stretched exponential function is obtained by inserting a fractional power law into the exponential function. In most applications, it is meaningful only for arguments t between 0 and +∞. With β = 1, the usual exponential function is recovered. With a stretching exponent β between 0 and 1, the graph of log f versus t is ...

  4. XLfit - Wikipedia

    en.wikipedia.org/wiki/XLfit

    XLfit. XLfit is a Microsoft Excel add-in that can perform regression analysis, curve fitting, and statistical analysis. It is approved by the UK National Physical Laboratory and the US National Institute of Standards and Technology [1] XLfit can generate 2D and 3D graphs and analyze data sets. XLfit can also analyse the statistical data.

  5. Customize your mailbox font size, sender display name, and ...

    help.aol.com/articles/customize-your-mailbox...

    Customize your mailbox font size, sender display name, and date style in AOL Desktop Gold. AOL Desktop Gold lets you personalize the look and feel of your mailbox by adjusting your mail settings to better fit your needs. Through the settings menu you can choose how a sender's display name is shown, adjust the size of the fonts in your mailbox ...

  6. Nelder–Mead method - Wikipedia

    en.wikipedia.org/wiki/Nelder–Mead_method

    The Nelder–Mead method (also downhill simplex method, amoeba method, or polytope method) is a numerical method used to find the minimum or maximum of an objective function in a multidimensional space. It is a direct search method (based on function comparison) and is often applied to nonlinear optimization problems for which derivatives may ...

  7. Ridge regression - Wikipedia

    en.wikipedia.org/wiki/Ridge_regression

    v. t. e. Ridge regression is a method of estimating the coefficients of multiple- regression models in scenarios where the independent variables are highly correlated. [1] It has been used in many fields including econometrics, chemistry, and engineering. [2] Also known as Tikhonov regularization, named for Andrey Tikhonov, it is a method of ...

  8. Curve fitting - Wikipedia

    en.wikipedia.org/wiki/Curve_fitting

    Curve fitting. Fitting of a noisy curve by an asymmetrical peak model, with an iterative process ( Gauss–Newton algorithm with variable damping factor α). Curve fitting [1] [2] is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, [3] possibly subject to constraints.

  9. Interference fit - Wikipedia

    en.wikipedia.org/wiki/Interference_fit

    The tightness of fit is controlled by amount of interference; the allowance (planned difference from nominal size). Formulas exist to compute allowance that will result in various strengths of fit such as loose fit, light interference fit, and interference fit. The value of the allowance depends on which material is being used, how big the ...

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