Simon Fraser University

Finite Difference Approximations of Derivatives

First-order derivatives: n additional function calls are needed. Second-order derivatives based on gradient calls, when the "grd" module is specified (Dennis and Schnabel 1983): n additional gradient ...
Investopedia

Understanding Straight-Line Basis for Depreciation and Amortization

Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. Amy is an ACA and the CEO and founder ...
IEEE

Universal Approximation Abilities of a Modular Differentiable Neural Network

Abstract: Approximation ability is one of the most important topics in the field of neural networks (NNs). Feedforward NNs, activated by rectified linear units and some of their specific smoothed ...
IEEE

Improved Coefficients for the Karagiannidis–Lioumpas Approximations and Bounds to the Gaussian Q-Function

Abstract: We revisit the Karagiannidis-Lioumpas (KL) approximation of the Q-function by optimizing its coefficients in terms of absolute error, relative error and ...