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In science and engineering, a log–log graph or log–log plot is a two-dimensional graph of numerical data that uses logarithmic scales on both the horizontal and vertical axes. Monomials – relationships of the form y = a x k {\displaystyle y=ax^{k}} – appear as straight lines in a log–log graph, with the power term corresponding to the ...
The term "log" is informally used in English to describe any felled trunk not rooted in the ground. A stump is the part of a trunk remaining in the ground after the tree has been felled. Contents
Bandar-log communicate almost entirely through the repetition of other animals' speech. The Road-Song of the Bandar-log is a companion poem to 'Kaa's Hunting', and demonstrates Kipling's strong adherence to poetic form. In other media. The Bandar-log appear in Disney's The Jungle Book.
Log-linear analysis is a technique used in statistics to examine the relationship between more than two categorical variables. The technique is used for both hypothesis testing and model building. In both these uses, models are tested to find the most parsimonious (i.e., least complex) model that best accounts for the variance in the observed ...
For example, Log(−3i) = ln 3 − πi/2, and Log(−3) = ln 3 + πi. The principal value as an inverse function. Another way to describe Log z is as the inverse of a restriction of the complex exponential function, as in the previous section.
Definition. The exponential of a matrix A is defined by =!. Given a matrix B, another matrix A is said to be a matrix logarithm of B if e A = B.Because the exponential function is not one-to-one for complex numbers (e.g. = =), numbers can have multiple complex logarithms, and as a consequence of this, some matrices may have more than one logarithm, as explained below.
The logarithmic mean temperature difference (also known as log mean temperature difference, LMTD) is used to determine the temperature driving force for heat transfer in flow systems, most notably in heat exchangers.
An algorithm is said to take logarithmic time when T(n) = O(log n).Since log a n and log b n are related by a constant multiplier, and such a multiplier is irrelevant to big-O classification, the standard usage for logarithmic-time algorithms is O(log n) regardless of the base of the logarithm appearing in the expression of T.