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) ...
A variety of linear models are available to represent common active electronic devices such as transistors and vacuum tubes. Devices operating under large-signal conditions often require nonlinear ...
Abstract: This paper introduces an Outer Approximation (OA) method for solving discrete AC Optimal Power Flow (OPF) problems that account for switching decisions. The OPF problem is formulated via the ...
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 ...
Anisotropy is widespread in the Earth’s crust, and VTI (vertical axis symmetry transverse isotropy) anisotropy is common due to stratigraphic pressure. Disregarding anisotropy leads to inaccurate ...
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 ...
Abstract: The minimum linear ordering problem (MLOP) seeks to minimize an aggregated cost f(·) due to an ordering σ of the items (say [n]), i.e., $min_σ f(S_{i ...
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