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Some widely used file comparison programs are diff, cmp, FileMerge, WinMerge, Beyond Compare, and File Compare. Because understanding changes is important to writers of code or documents, many text editors and word processors include the functionality necessary to see the changes between different versions of a file or document.
Difference in differences (DID [1] or DD [2]) is a statistical technique used in econometrics and quantitative research in the social sciences that attempts to mimic an experimental research design using observational study data, by studying the differential effect of a treatment on a 'treatment group' versus a 'control group' in a natural experiment. [3]
Main concerns for data differencing are usability and space efficiency (patch size).. If one simply wishes to reconstruct the target given the source and patch, one may simply include the entire target in the patch and "apply" the patch by discarding the source and outputting the target that has been included in the patch; similarly, if the source and target have the same size one may create a ...
To obtain a copy of the URL for the diff, right-click on its (prev) button and select "Copy link location", "copy shortcut", or however your browser expresses it. The URL of the diff you want is now in your clipboard. Alternatively, you can click (prev) and, when you are viewing the new page, copy its URL from the address bar.
Figure 1.Comparison of different schemes. In applied mathematics, the central differencing scheme is a finite difference method that optimizes the approximation for the differential operator in the central node of the considered patch and provides numerical solutions to differential equations. [1]
In an analogous way, one can obtain finite difference approximations to higher order derivatives and differential operators. For example, by using the above central difference formula for f ′(x + h / 2 ) and f ′(x − h / 2 ) and applying a central difference formula for the derivative of f ′ at x, we obtain the central difference approximation of the second derivative of f:
Difference quotients are used as approximations in numerical differentiation, [8] but they have also been subject of criticism in this application. [11] Difference quotients may also find relevance in applications involving Time discretization, where the width of the time step is used for the value of h.
The term "t-statistic" is abbreviated from "hypothesis test statistic". [1] In statistics, the t-distribution was first derived as a posterior distribution in 1876 by Helmert [2] [3] [4] and Lüroth. [5] [6] [7] The t-distribution also appeared in a more general form as Pearson type IV distribution in Karl Pearson's 1895 paper. [8]
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