Timothy Li is a consultant, accountant, and finance manager with an MBA from USC and over 15 years of corporate finance experience. Timothy has helped provide CEOs and CFOs with deep-dive analytics, ...

Move modules into chebyfit package. Add Python wrapper for _chebyfit C extension module. Fix static analysis issues in _chebyfit.c.

Graphs of exponential functions and logarithmic functions provide a visual insight into their properties, such as growth, decay, and the inverse relationship between them. Graphs of exponential ...

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 ...

Two methods are discussed which result in near minimax rational approximations to the exponential function and at the same time retain the desirable property that the approximation for negative values ...

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.

Introduction: The SIR (Susceptible-Infected-Recovered) model is one of the simplest and most widely used frameworks for understanding epidemic outbreaks. Methods: A second-order dynamical system for ...

The nonlinear exponential function, often represented as y = e^(mx + b), has a unique role to play in the realm of deep neural networks. While it might not be as widely used as other activation ...

Abstract: The paper presents an original CMOS exponential function generator with improved accuracy. The area of application for CMOS exponential circuits is extremely large, including ...

When it comes to teaching mathematics to students, identifying different types of functions can be a challenging task. Two of the most common types of functions encountered in high school math are ...

The booking curve time series in perishable asset industries, including hotels, has been studied as a means for daily forecasting in revenue management (RM). Such studies have developed many ...