Exponential and logarithmic functions are mathematical concepts with wide-ranging applications. Exponential functions are commonly used to model phenomena such as population growth, the spread of ...

Index laws and the laws of logarithms are essential tools for simplifying and manipulating exponential and logarithmic functions. There is an inverse relationship between exponential and logarithmic ...

Along with the usual one-argument and two-argument exponential and logarithm functions, sqrt is considered to be an exponential function, because it raises a number to the power 1/2.

Abstract: This paper presents two new approximations for the logarithmic and exponential functions. These approximations require only a square rooter function, a scalar function and a constant. Thus, ...

The soft-exponential function is a good choice for neural networks that have a lot of connections and a lot of neurons. This activation function is under the idea that the function is logarithmic, ...

Ask ordinary software developers how to code an exponential function (that is, e x) and most will tell you to simply write an expression in their favorite high level language. But a significant ...

Exponential regression is a type of nonlinear ... is a type of nonlinear regression that involves fitting a logarithmic function to the data. A logarithmic function has the form y = a + b ...

Abstract: In this paper, CMOS realizations of exponential function generators are considered and it is shown that the inherent square-law characteristic of the CMOS can be effectively used to produce ...

Data from an experiment may result in a graph indicating exponential growth ... Shown below is a straight line graph when \({\log _{10}}y\) is plotted against \({\log _{10}}x\).

The soft-exponential function is a good choice for neural networks that have a lot of connections and a lot of neurons. This activation function is under the idea that the function is logarithmic, ...