Zobrazeno 1 - 10
of 1 972
pro vyhledávání: '"An, Ghysels"'
Autor:
Jin, Hongwei, Balaprakash, Prasanna, Zou, Allen, Ghysels, Pieter, Krishnapriyan, Aditi S., Mate, Adam, Barnes, Arthur, Bent, Russell
The threat of geomagnetic disturbances (GMDs) to the reliable operation of the bulk energy system has spurred the development of effective strategies for mitigating their impacts. One such approach involves placing transformer neutral blocking device
Externí odkaz:
http://arxiv.org/abs/2405.10389
Autor:
Ghysels, Eric, Morgan, Jack
We formulate quantum computing solutions to a large class of dynamic nonlinear asset pricing models using algorithms, in theory exponentially more efficient than classical ones, which leverage the quantum properties of superposition and entanglement.
Externí odkaz:
http://arxiv.org/abs/2405.01479
We present a classical enhancement to improve the accuracy of the Hybrid variant (Hybrid HHL) of the quantum algorithm for solving linear systems of equations proposed by Harrow, Hassidim, and Lloyd (HHL). We achieve this by using higher precision qu
Externí odkaz:
http://arxiv.org/abs/2404.10103
Autor:
Khedkar, Kaustubh, Mamaghani, Amirreza Charchi, Ghysels, Pieter, Patankar, Neelesh A., Bhalla, Amneet Pal Singh
For decades, the computational multiphase flow community has grappled with mass loss in the level set method. Numerous solutions have been proposed, from fixing the reinitialization step to combining the level set method with other conservative schem
Externí odkaz:
http://arxiv.org/abs/2404.03132
Quantum computers are not yet up to the task of providing computational advantages for practical stochastic diffusion models commonly used by financial analysts. In this paper we introduce a class of stochastic processes that are both realistic in te
Externí odkaz:
http://arxiv.org/abs/2311.00825
This paper surveys the recent advances in machine learning method for economic forecasting. The survey covers the following topics: nowcasting, textual data, panel and tensor data, high-dimensional Granger causality tests, time series cross-validatio
Externí odkaz:
http://arxiv.org/abs/2308.10993
The paper uses structured machine learning regressions for nowcasting with panel data consisting of series sampled at different frequencies. Motivated by the problem of predicting corporate earnings for a large cross-section of firms with macroeconom
Externí odkaz:
http://arxiv.org/abs/2307.02673
The volume penalization (VP) or the Brinkman penalization (BP) method is a diffuse interface method for simulating multiphase fluid-structure interaction (FSI) problems in ocean engineering and/or phase change problems in thermal sciences. The method
Externí odkaz:
http://arxiv.org/abs/2306.06277
Autor:
Bram De Wel, Lotte Huysmans, Ronald Peeters, Stefan Ghysels, Kris Byloos, Guido Putzeys, Frederik Maes, Patrick Dupont, Kristl G. Claeys
Publikováno v:
Journal of Cachexia, Sarcopenia and Muscle, Vol 15, Iss 5, Pp 1761-1771 (2024)
Abstract Background We investigated the potential of magnetic resonance elastography (MRE) stiffness measurements in skeletal muscles as an outcome measure, by determining its test–retest reliability, as well as its sensitivity to change in a longi
Externí odkaz:
https://doaj.org/article/d3395bb9e44948d2a3f94001e19c3c5f
We present an extension of an adaptive, partially matrix-free, Hierarchically Semi-Separable (HSS) matrix construction algorithm by Gorman et al. [SIAM J. Sci. Comput. 41(5), 2019] which uses Gaussian sketching operators to a broader class of Johnson
Externí odkaz:
http://arxiv.org/abs/2302.01977