Thriving in an exponential world requires more than a better strategy. It demands quantum thinking, the shift from linear ...

Abstract: Square and square-root are widely used in digital signal processing and digital communication algorithms, and their efficient realizations are commonly required to reduce the hardware ...

SiC-based converters and inverters are the optimal choice for battery-operated vehicles (BEVs), renewables, and all other applications where maximum efficiency is required. Silicon Carbide (SiC) ...

The code can be compiled using the provided makefile; simply type the command make. After compiling the program, the executable file will appear; this file will be named "parseTemps". The program, ...

Logarithms, or “logs”, are an essential mathematical concept with wide applications in various domains, such as physics, engineering, and computer science. But what if you need to calculate logarithms ...

Linear regression is a statistical method that helps us understand the relationship between two variables by fitting a linear model to the observed data. It allows us to make predictions and determine ...

In order to understand how climate responds to changes in sea surface temperature (SST), it is common to use linear approximations, i.e. the response is assumed to vary linearly with the sign and ...

Linear approximation is a method used to estimate the value of a function near a given point using the tangent line at that point. This technique simplifies complex functions into a linear form, ...

Department of Mathematics, COMSATS University, Park Road, Chak Shahzad, Islamabad 45550, Pakistan Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both ...

A python implementation of the algorithm used to generate optimal piecewise linear approximations of convex functions proposed by Imamoto and Tang [1]. The algorithm uses an iterative search to find ...