Results 41 to 50 of about 1,606 (214)
Chaotic and Hyperchaotic Dynamics of a Clapp Oscillator
Mathematics, 2022 This paper describes recent findings achieved during a numerical investigation of the circuit known as the Clapp oscillator. By considering the generalized bipolar transistor as an active element and after applying the search-for-chaos optimization ...
Jiri Petrzela
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Numerical Procedures for Random Differential Equations
Journal of Applied Mathematics, 2018 Some methodological approaches based on generalized polynomial chaos for linear differential equations with random parameters following various types of distribution laws are proposed.
Mohamed Ben Said +2 more
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Applied Sciences, 2023 With the rapid development of the mobile communication technology, the design of mobile phones has become more complex, and research on the electromagnetic radiation from mobile phones that reaches the human head has become important. Therefore, first of
Miao Yi +4 more
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IEEE Access, 2020 Semiconductor fabrication technologies as applies to the nanometer-era paradigms of nowadays have rendered uncertainty quantification analyses through component-level parameters compulsory and indispensable. Frequency responses of CMOS active filters are
Mecit Emre Duman, Onder Suvak
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Sparse deterministic approximation of Bayesian inverse problems [PDF]
, 2011 We present a parametric deterministic formulation of Bayesian inverse problems with an input parameter from infinite-dimensional, separable Banach spaces.
A M Stuart +5 more
core +1 more source
Computing Black Scholes with Uncertain Volatility—A Machine Learning Approach
Mathematics, 2022 In financial mathematics, it is a typical approach to approximate financial markets operating in discrete time by continuous-time models such as the Black Scholes model.
Kathrin Hellmuth, Christian Klingenberg
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Metamodeling for Uncertainty Quantification of a Flood Wave Model for Concrete Dam Breaks
Energies, 2020 Uncertainties in instantaneous dam-break floods are difficult to assess with standard methods (e.g., Monte Carlo simulation) because of the lack of historical observations and high computational costs of the numerical models.
Anna Kalinina +6 more
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Adaptation and Enhancement of Generalized Polynomial Chaos for Industrial Applications [PDF]
PAMM, 2015 AbstractThis contribution presents ideas, how to adapt stochastic elements to industrial applications and reduce the number of simulations in comparison to Monte Carlo. Especially when the mathematical model equations are not known and just an input/output interface is given.
Philipp Glaser +2 more
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Constant Jacobian Matrix-Based Stochastic Galerkin Method for Probabilistic Load Flow
Energies, 2016 An intrusive spectral method of probabilistic load flow (PLF) is proposed in the paper, which can handle the uncertainties arising from renewable energy integration. Generalized polynomial chaos (gPC) expansions of dependent random variables are utilized
Yingyun Sun, Rui Mao, Zuyi Li, Wei Tian
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Stable Neural Signal Recording Processed by Memristor‐Based Reservoir Computing System
Advanced Intelligent Systems, EarlyView.This work introduces a memristor‐based reservoir computing (RC) system for real‐time, energy‐efficient processing of neural signals in brain‐machine interface (BMI). Combined with flexible mesh neural probes with tissue‐like flexibility and subcellular‐scale features that enable consistent, long‐term tracking of single‐cell neural activities, the ...
Soohyeon Kim +10 more
wiley +1 more source