Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...

Abstract: Traditionally, the uncertainty qualification is utilized with the known probability distribution function (PDF). However, in some scenarios, the PDFs of some uncertain variables are modeled ...

IIT Guwahati has released the GATE 2026 Syllabus for Computer Science & Information Technology (CS&IT) along with the ...

This important study introduces a fully differentiable variant of the Gillespie algorithm as an approximate stochastic simulation scheme for complex chemical reaction networks, allowing kinetic ...

Abstract: In this paper, we propose a model of a parameter estimator filter for Black Box-type Stochastic Systems (BBSS), that is, only its inputs and outputs are known; considering its intrinsic ...

1 School of Power and Intelligent Manufacturing, Guangzhou Huali Science and Technology Vocational College, Guangzhou, China 2 School of Electrical Engineering and Automation, Harbin Institute of ...

Department of Chemistry & Department of Physics, Westlake University, Hangzhou, Zhejiang 310030, China Institute of Natural Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, ...

All the scripts were developed on MATLAB 2023a (compatible with MATLAB 2022b or later). This file contains two main scripts: CoherentBasis.m FockBasis.m which define two types of classes. The first ...

Probability distribution is an essential concept in statistics, helping us understand the likelihood of different outcomes in a random experiment. Whether you’re a student, researcher, or professional ...

1 Mathematics Department, Faculty of Science, Tanta University, Tanta, Egypt. 2 Faculty of the Higher Institute of Tourism and Hotels, Al-Bayda, Libya. The aim of this paper is to present generalized ...