Invention of logarithms by Lord Napier, England.
"The Great Events by Famous Historians, Volume 11" by Various
The complement of the logarithm of a sine, tangent, or secant.
"The Sailor's Word-Book" by William Henry Smyth
He had learned to use logarithms.
"Great Men and Famous Women. Vol. 4 of 8" by Various
They brought her a treatise on logarithms by the Rev.
"Stories of Authors, British and American" by Edwin Watts Chubb
In after life I, of course, used logarithms for the higher branches of science.
"Personal Recollections, from Early Life to Old Age, of Mary Somerville" by Mary Somerville
He used logarithms, and proved the accuracy of his work by different methods.
"From Farm House to the White House" by William M. Thayer
Instead of going into logarithms, Henry went into shorthand.
"A Great Man" by Arnold Bennett
On leaving school he took up mathematics as a specialty and invented a system of logarithms based on the number 12 instead of 10.
"Elementary Theosophy" by L. W. Rogers
In 1594, he made a contract with Napier of Merchistoun, the inventor of Logarithms.
"James VI and the Gowrie Mystery" by Andrew Lang
While he is going over his logarithms to know what should be done, the commonest seaman on board could set all to rights.
"Sporting Scenes amongst the Kaffirs of South Africa" by Alfred W. Drayson
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This post offers reasons for using logarithmic scales, also called log scales, on charts and graphs.
When Should I Use Logarithmic Scales in My Charts and Graphs.
There are two main reasons to use logarithmic scales in charts and graphs.
A comparison of linear and logarithmic ( log ) scales.
Does the Brain Work Logarithmically .
This illustrates the logarithmic spiral curve r=exp(0.17*theta) under continuous clockwise rotation / expansion.
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Note also that the logarithmic terms in both (18) and (19) yield the sums of geometric progression with arguments of logarithms related by eq.(17).
On the Fourier transformation of Renormalization Invariant Coupling
The logarithm of the average susceptibility of the largest system (L = 64) is plotted verses the logarithm of T − Tc , for temperatures above Tc and for different values of Tc .
Full reduction of large finite random Ising systems by RSRG
In Fig. 4(b), we have used a linear ﬁt for the logarithm of the maximum of −∂χ/∂T plotted versus the logarithm of L, from which we obtain the value of (γ + 1)/ν .
Full reduction of large finite random Ising systems by RSRG
In Fig. 5 we use a linear ﬁt for the logarithm of Tc (L) − Tc plotted versus the logarithm of L.
Full reduction of large finite random Ising systems by RSRG
In (b), the logarithm of the maximum of −∂χ/∂T is plotted verses the logarithm of L.
Full reduction of large finite random Ising systems by RSRG
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