School of Mathematics and Statistics & Center for Mathematical Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, P. R. China Steklov-Wuhan Institute for Mathematical ...
SIAM congratulates these 25 esteemed community members, listed below in alphabetical order, who will be recognized at a ...
The professor and has team received the prestigious Misha Mahowald Prize in Neuromorphic Engineering for their work on ...
Full Waveform Inversion (FWI) is capable of finely characterizing the velocity structure, anisotropy, viscoelasticity, and attenuation properties of subsurface media, which provides critical ...
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...
Technical analysis, on the other hand, uses charts and various technical indicators to forecast market conditions. One of the essential tools used for technical analysis in securities trading is the ...
Its PC optimization toolkit really does make a difference; whenever we've tested System Mechanic we've found a significant speed improvement, especially at startup. The free edition is excellent ...
Abstract: Nonconvex-concave (NC-C) finite-sum minimax problems have broad applications in decentralized optimization and various machine learning tasks. However, the nonsmooth nature of NC-C problems ...
Abstract: Decentralized optimization is typically studied under the assumption of noise-free transmission ... smooth functions in the context of inexact communication and stochastic gradients. Finally ...
The insight is that if gravity is classical, it must exhibit irreducible stochastic fluctuations. These fluctuations are a necessity, stemming from a fundamental inconsistency that would arise ...
Stochastic modelling is the development of mathematical models for non-deterministic physical systems, which can adopt many possible behaviours starting from any given initial condition. Monte ...
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