Results 41 to 50 of about 1,805 (213)
We consider families of biquadratic curves B = 0 on C2, defined with respect to arbitrarily many complex parameters. We use algebraic methods involving discriminants to provide a complete classification of the singular curves in these families. This is a
Pettigrew, James Austen
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A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source
Advances in mesh optimisation based on algebraic quality metrics
In this work we focus our attention on two aspects related to node movement in surface meshes: smoothing of triangular meshes defined on surfaces and the adaption of these meshes to match given curves or contours.The improvement in quality of the mesh is
Gonzalez-Yuste, J. M. +4 more
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International Journal of Mathematical Combinatorics, Vol.3A [PDF]
The International J.Mathematical Combinatorics (ISSN 1937-1055) is a fully refereed international journal, sponsored by the MADIS of Chinese Academy of Sciences and published in USA quarterly comprising 460 pages approx.
Mao, Linfan (Editor-in-Chief)
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Abstract This work presents a simplified extended‐batch adsorber analogue model (e‐BAAM) to quantify key performance metrics such as purity, recovery, and energy trends for various pressure swing adsorption (PSA) process cycles for CO2$$ {\mathrm{CO}}_2 $$ capture.
Gwyneth Liske, Arvind Rajendran
wiley +1 more source
For many networks in nature, science and technology, it is possible to order the nodes so that most links are short-range, connecting near-neighbours, and relatively few long-range links, or shortcuts, are present.
Calvo, M.C. +62 more
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Bayesian inverse ensemble forecasting for COVID‐19
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
Computational aspects of modular parametrizations of elliptic curves
Thesis (Ph.D.)--University of Washington, 2016-06\abstract{ We investigate computational problems related to modular parametrizations of elliptic curves defined over $\mathbb{Q}$.
Chen, Hao
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Computing Isogeny Volcanoes of Rank Two Drinfeld Modules
Elliptic curves have long been widely studied mathematical objects. They do not only feature prominently in established areas of mathematics such as number theory, algebraic geometry, and topology, but have recently gained practical importance due to ...
Caranay, Perlas
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Impact of QSW‐ZVS on Input EMI Filter Design in DC‐DC Converters
This paper analyzes the impact of quasi‐square wave zero voltage switching (QSW‐ZVS) on passive EMI filter design for DC‐DC buck converters. The extra element theorem (EET) is used to derive the design quantities that ensure converter performance is not altered, and the resulting damping element values are compared with those of traditional converters.
Silvia Simone +3 more
wiley +1 more source

