Typical algorithms used to compute logarithms are not quick and have a variable execution time depending on the input value. The technique [Ihsan] is using is both fast and has a constant run time.
Taken from Introduction to Econometrics from Stock and Watson, 2003, p. 215: Y=B0 + B1*ln(X) + u ~ A 1% change in X is associated with a change in Y of 0.01*B1 ln(Y)=B0 + B1*X + u ~ A change in X by ...
A scientific calculator has two 'log' buttons on it. These are marked log and ln. The log key is used for calculations of the form \({\log _{10}}x\). For example, to work out that \(\log 10000 = 4 ...
FV is future value, PV is present value, r is the rate and the t is the time period. FV = PV*(1+r)t To isolate t when it’s located in an exponent, you can take the natural logarithms of both sides.
Logarithms are useful tools for linearizing exponential phenomena, and Bitcoin's price is one example of such a phenomenon. A phenomenon with exponential growth will look roughly linear in ...
Doing so replicates the original look and feel of the calculator down to the rapid progression of numbers across the Nixies as the logarithms are calculated using the display registers.