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  2. Semi-log plot - Wikipedia

    en.wikipedia.org/wiki/Semi-log_plot

    On a semi-log plot the spacing of the scale on the y-axis (or x-axis) is proportional to the logarithm of the number, not the number itself. It is equivalent to converting the y values (or x values) to their log, and plotting the data on linear scales. A log–log plot uses the logarithmic scale for both axes, and hence is not a semi-log plot.

  3. Log–log plot - Wikipedia

    en.wikipedia.org/wiki/Log–log_plot

    The left plot, titled 'Concave Line with Log-Normal Noise', displays a scatter plot of the observed data (y) against the independent variable (x). The red line represents the 'Median line', while the blue line is the 'Mean line'. This plot illustrates a dataset with a power-law relationship between the variables, represented by a concave line.

  4. Roberts linkage - Wikipedia

    en.wikipedia.org/wiki/Roberts_linkage

    A Roberts linkage is a four-bar linkage which converts a rotational motion to approximate straight-line motion. [1] The linkage was developed by Richard Roberts. [1] The Roberts linkage can be classified as: Watt-type linkage [1] Grashof rocker-rocker [2] Symmetrical four-bar linkage [3]

  5. Logarithmic scale - Wikipedia

    en.wikipedia.org/wiki/Logarithmic_scale

    Semi-log plot of the Internet host count over time shown on a logarithmic scale. A logarithmic scale (or log scale) is a method used to display numerical data that spans a broad range of values, especially when there are significant differences between the magnitudes of the numbers involved.

  6. Bresenham's line algorithm - Wikipedia

    en.wikipedia.org/wiki/Bresenham's_line_algorithm

    Plotting the line from (0,1) to (6,4) showing a plot of grid lines and pixels. All of the derivation for the algorithm is done. One performance issue is the 1/2 factor in the initial value of D. Since all of this is about the sign of the accumulated difference, then everything can be multiplied by 2 with no consequence.

  7. Chebyshev linkage - Wikipedia

    en.wikipedia.org/wiki/Chebyshev_linkage

    Chebyshev linkages did not receive widespread usage in steam engines, [citation needed] but are commonly used as the 'Horse head' design of level luffing crane.In this application the approximate straight movement is translated away from the line's midpoint, but it is still essentially the same mechanism.

  8. Curve fitting - Wikipedia

    en.wikipedia.org/wiki/Curve_fitting

    Polynomial curves fitting points generated with a sine function. The black dotted line is the "true" data, the red line is a first degree polynomial, the green line is second degree, the orange line is third degree and the blue line is fourth degree. The first degree polynomial equation = + is a line with slope a. A line will connect any two ...

  9. Normal probability plot - Wikipedia

    en.wikipedia.org/wiki/Normal_probability_plot

    Normal probability plots are made of raw data, residuals from model fits, and estimated parameters. A normal probability plot. In a normal probability plot (also called a "normal plot"), the sorted data are plotted vs. values selected to make the resulting image look close to a straight line if the data are approximately normally distributed.