Abstract: Elastic least-squares migration (ELSM) has the potential to produce high-resolution images. It can be implemented in either data-domain or image-domain but is much faster in the image domain ...
This library is a collection of OpenSCAD functions for use with OpenSCAD function-literals. It is meant to provide algorithms and tools to help build efficient scripts using functional programming ...
Framatome has completed the manufacture of the reactor pressure vessel for the second of two EPR units being built at the Hinkley Point C nuclear power plant in Somerset, UK. The first two of four ...
Abstract: We study the stability of an equilibrium of arbitrarily switched, autonomous, continuous-time systems through the computation of a common Lyapunov function (CLF). The switching occurs ...
Can you chip in? As an independent nonprofit, the Internet Archive is fighting for universal access to quality information. We build and maintain all our own systems, but we don’t charge for access, ...
Can you chip in? As an independent nonprofit, the Internet Archive is fighting for universal access to quality information. We build and maintain all our own systems, but we don’t charge for access, ...
Abstract: In Electrical Impedance Tomography, the ill-posed nature of the inverse problem and the interaction between the electric current and objects cause poor spatial resolution and blurring in the ...
Abstract: Most least-squares migration (LSM) imaging methods use iterative gradient update methods to approximate the inverse of the Hessian matrix, but such approximations are not accurate and ...
Editor’s note: This story is part of Peak, The Athletic’s desk covering leadership, personal development and performance through the lens of sports. Follow Peak here. Army coach Jeff Monken is just ...
Abstract: This article considers the problem of designing a continuous-time dynamical system that solves a constrained nonlinear optimization problem and makes the feasible set forward invariant and ...
Abstract: Neural implicit functions including signed distance functions (SDFs) and unsigned distance functions (UDFs) have shown powerful ability in fitting the shape geometry. However, inferring ...
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