Adsorption is a separation process based on the transfer of a certain substance in a fluid to a solid surface with adsorbent capacity (Ruthven 1984). Due to its advantageous operational simplicity, ...

ABSTRACT: Multivariate stochastic volatility (MSV) models are nonlinear state space models that require either linear approximations or computationally demanding methods for handling the high ...

Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...

In structural health monitoring (SHM), uncertainties from environmental noise and modeling errors affect damage detection accuracy. This paper introduces a new concept: the Fast Fourier Transform ...

ABSTRACT: In this paper, a low-dose CT denoising method based on L 1 / L 2 regularization method of Markov chain Monte Carlo is studied. Firstly, the mathematical model and regularization method of ...

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Monte Carlo simulation of 2D Ising Model. Final project of the LoCP-A course during 2020/2021 at Unipd ...

Abstract: The paper studies the features of the Metropolis-Hastings algorithm and its applications in Bayesian data analysis problems. The application of the Monte-Carlo Markov chains (MCMC) methods ...