A Semi-Stochastic Propagation Model for the Study of Beam Tilting in Cellular Systems by Konstantinos B. Baltzis

“…The two-ray approximation of the proposed model is described analytically. …”
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The Convergence and MS Stability of Exponential Euler Method for Semilinear Stochastic Differential Equations by Chunmei Shi, Yu Xiao, Chiping Zhang

“…The numerical approximation of exponential Euler method is constructed for semilinear stochastic differential equations (SDEs). …”
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A Regularization SAA Scheme for a Stochastic Mathematical Program with Complementarity Constraints by Yu-xin Li, Jie Zhang, Zun-quan Xia

“…Our concern is the detailed analysis of convergence properties of a regularization sample average approximation (SAA) method for solving a stochastic mathematical program with complementarity constraints (SMPCC). …”
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Enhanced Stochastic Models for VLBI Invariant Point Estimation and Axis Offset Analysis by Chang-Ki Hong, Tae-Suk Bae

“…This is a significance level corresponding to approximately a 2.576 sigma threshold, which represents a 99% confidence level. …”
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Stochastic Modelling of the Dynamics of the SARS-CoV-2 Epidemic: An Africa Perspective by Rasaki, Olawale Olanrewaju, Nafiu, Lukman Abiodun, Abdisalam, Hassan Muse, Thierno, Souleymane Barry

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Impact of Stochastically Perturbed Terminal Velocities on Convective-Scale Ensemble Forecasts of Precipitation by Shizhang Wang, Xiaoshi Qiao, Jinzhong Min

“…The impact of stochastically perturbing the terminal velocities of hydrometeors on convective-scale ensemble forecasts of precipitation was examined. …”
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Numerical Approximation of Riccati Fractional Differential Equation in the Sense of Caputo-Type Fractional Derivative by Xin Liu, Kamran, Yukun Yao

“…In this study, we aim to approximate the solution of a fractional Riccati equation of order 0<β<1 with Atangana–Baleanu derivative (ABC). …”
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Backward Stochastic Differential Equations Coupled with Value Function and Related Optimal Control Problems by Tao Hao, Juan Li

“…We prove the existence and the uniqueness theorem as well as a comparison theorem for such BSDEs coupled with value function by using the approximation method. We get the related dynamic programming principle (DPP) with the help of the stochastic backward semigroup which was introduced by Peng in 1997. …”
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Fractional Stochastic Differential Equations with Hilfer Fractional Derivative: Poisson Jumps and Optimal Control by Fathalla A. Rihan, Chinnathambi Rajivganthi, Palanisamy Muthukumar

“…We study the existence and uniqueness of mild solutions of such a class of fractional stochastic system, using successive approximation theory, stochastic analysis techniques, and fractional calculus. …”
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Prescribed Performance Tracking Control for Nonlinear Stochastic Time-Delay Systems with Multiple Constraints by Man Zhang, Ru Chang, Ying Wang

“…This paper proposes a prescribed performance tracking control scheme for a category of nonlinear stochastic time-delay systems with input saturation and state asymmetric time-varying constraints. …”
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An OFDM Signal Enhancement and Demodulation Method Based on Segmented Asymmetric Bistable Stochastic Resonance by Gaohui Liu, Xiaqiang Chu

“…To address the output saturation issue in classical bistable stochastic resonance systems during the enhancement of weak orthogonal frequency division multiplexing (OFDM) signals, which results in low noise utilization efficiency, this study proposes an enhancement and demodulation technique based on a segmented asymmetric bistable stochastic resonance (SABSR) system. …”
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Stochastic Neutron Population with Temperature Feedback Effects Using the Implicit Runge-Kutta Scheme by Daniel Suescún-Díaz

“…The numerical simulations present good approximations in terms of means and standard deviations in agreement with other results using different numerical methods. …”
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2019-nCoV Transmission in Hubei Province, China: Stochastic and Deterministic Analyses by Zhiming Li, Zhidong Teng, Changxing Ma

“…Under R0>1, quasi-stationary distribution of the stochastic process is approximated by Gaussian diffusion. …”
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Solving combinatorial optimization problems through stochastic Landau-Lifshitz-Gilbert dynamical systems by Dairong Chen, Andrew D. Kent, Dries Sels, Flaviano Morone

“…We present a method to approximately solve general instances of combinatorial optimization problems using the physical dynamics of three-dimensional (3D) rotors obeying Landau-Lifshitz-Gilbert dynamics. …”
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An Improved Stochastic Model for the Geodetic GNSS Receivers Under Ionospheric Scintillation at Low Latitudes by Xiaomin Luo, Yingzong Lin, Xiaolei Dai, Shaofeng Bian, Dezhong Chen

“…Using one month of GPS data collected at HNLW station installed with ISMR in Hainan of China from 1 to 28 February in 2023, statistical results indicate that the PPP solution based on Impr_RTES model can improve the positioning accuracy by approximately 22.6%, 23.8%, and 30.2% in the east, north, and up directions, respectively, over the elevation angle stochastic (EAS) model. …”
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Shannon Entropy Computations in Navier–Stokes Flow Problems Using the Stochastic Finite Volume Method by Marcin Kamiński, Rafał Leszek Ossowski

“…The main aim of this study is to achieve the numerical solution for the Navier–Stokes equations for incompressible, non-turbulent, and subsonic fluid flows with some Gaussian physical uncertainties. The higher-order stochastic finite volume method (SFVM), implemented according to the iterative generalized stochastic perturbation technique and the Monte Carlo scheme, are engaged for this purpose. …”
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A stochastic model for water-vegetation systems and the effect of decreasing precipitation on semi-arid environments by Shannon Dixon, Nancy Huntly, Priscilla E. Greenwood, Luis F. Gordillo

“…In this paper we present a model for precipitation-vegetation dynamics in semi-arid landscapes that can be used to explore numerically the impact of decreasing precipitation trends on appearance of desertification events. The model, a stochastic differential equation approximation derived from a Markov jump process, is used to generate extensive simulations that suggest a relationship between precipitation reduction and the desertification process, which might take several years in some instances.…”
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The consequence of day-to-day stochastic dose deviation from the planned dose in fractionated radiation therapy by Subhadip Paul, Prasun Kumar Roy

“…This day-to-day variation of radiation dose is stochastic. Here, we have developed the mathematical formulation to represent the day-to-day stochastic dose variation effect in radiation therapy. …”
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An Approximation Solution to Refinery Crude Oil Scheduling Problem with Demand Uncertainty Using Joint Constrained Programming by Qianqian Duan, Genke Yang, Guanglin Xu, Changchun Pan

“…This paper is devoted to develop an approximation method for scheduling refinery crude oil operations by taking into consideration the demand uncertainty. …”
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Successive spike times predicted by a stochastic neuronal model with a variable input signal by Giuseppe D'Onofrio, Enrica Pirozzi

“…Two different stochastic processes are used to model the evolution of the membrane voltage of a neuron exposed to a time-varying input signal. …”
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