Abstract. Two methods are discussed which result in near minimax rational approximations to the exponential function and at the same time retain the desirable ...
It is the purpose of this note to indicate two methods by which virtually best approximations to the exponential with the form (3) can be computed in a.
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Aug 10, 2020 · The approximation is made by truncating the infinite series to a finite series of some arbitrary number of terms, giving a finite-degree ...
A general expression for a special type of functions has been introduced, which allows us to approximate the exponential function in an economical manner.
NOTE. Communicated by Michael Hines. A Fast ... Neural network simulations often spend a large proportion of their time computing exponential functions.
Apr 3, 2011 · I am reading a text and I am curious to know how certain approximations were reached. ... ,when y≪x. Note that I tried using the approximation ex ...
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Mar 10, 1998 · Abstract. Neural network simulations often spend a large proportion of their time computing exponential functions.
Jun 28, 2020 · This algorithm lets you find a polynomial with the smallest maximum error. You start with a set of X coordinates, and create a polynomial which ...
Oct 10, 2011 · Is there a method to mentally evaluate e−x for x>0? Just to have an idea when computing probabilities or anything that is an exponential ...
In a recent paper by Nørsett and Wolfbrandt [1] it is shown that the maximum attainable order ofN-approximationsR m,n(u) to exp (u) ism + 1. The purpo.