Log
(Built-in Mathematica Symbol) Log[z] gives the natural logarithm of z (logarithm to base e). Log[b, z] gives the logarithm to base b.
LogLogPlot[f, {x, x_min, x_max}] generates a log-log plot of f as function of x from x_min to x_max. LogLogPlot[{f_1, f_2, ...}, {x, x_min, x_max}] generates log-log plots of ...
ListLogLogPlot[{{x_1, y_1}, {x_2, y_2}, ...}] makes a log-log plot of the specified list of x and y values.ListLogLogPlot[{list_1, list_2, ...}] plots several lists of values.
LogSeriesDistribution[\[Theta]] represents a logarithmic series distribution with parameter \[Theta].
LogLinearPlot[f, {x, x_min, x_max}] generates a log-linear plot of f as a function of x from x_min to x_max. LogLinearPlot[{f_1, f_2, ...}, {x, x_min, x_max}] generates ...
LogGamma[z] gives the logarithm of the gamma function log \[CapitalGamma](z).
LogPlot
(Built-in Mathematica Symbol) LogPlot[f, {x, x_min, x_max}] generates a log plot of f as a function of x from x_min to x_max. LogPlot[{f_1, f_2, ...}, {x, x_min, x_max}] generates log plots of several ...
ListLogPlot[{y_1, y_2, ...}] makes a log plot of the y_i, assumed to correspond to x coordinates 1, 2, ....ListLogPlot[{{x_1, y_1}, {x_2, y_2}, ...}] makes a log plot of the ...
ListLogLinearPlot[{{x_1, y_1}, {x_2, y_2}, ...}] makes a log-linear plot of the specified list of x and y values.ListLogLinearPlot[{list_1, list_2, ...}] plots several lists ...
You can enable logging in two ways. The log file records messages as they occur, building up a detailed record of license activity over a period of time. Logging supports ...