Results 11 to 20 of about 3,816 (118)
Approximate Solutions, Thermal Properties, and Superstatistics Solutions to Schrödinger Equation
Advances in High Energy Physics, Volume 2022, Issue 1, 2022., 2022 In this work, we apply the parametric Nikiforov‐Uvarov method to obtain eigensolutions and total normalized wave function of Schrödinger equation expressed in terms of Jacobi polynomial using Coulomb plus Screened Exponential Hyperbolic Potential (CPSEHP), where we obtained the probability density plots for the proposed potential for various orbital ...
Ituen Okon +8 more
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Journal of Mathematics, Volume 2022, Issue 1, 2022., 2022 The main goal of this paper is to introduce and investigate the related theory on monadic effect algebras. First, we design the axiomatic system of existential quantifiers on effect algebras and then use it to give the definition of the universal quantifier and monadic effect algebras.
Yuxi Zou, Xiaolong Xin, Li Guo
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IET Control Theory &Applications, Volume 15, Issue 14, Page 1906-1914, September 2021., 2021 Abstract For invariant attitude dynamics evolving on matrix Lie groups, by proposing the stochastic feedback–based covariance calibration scheme, an adaptive invariant Kalman filter (AIKF) is elaborated to deal with the attitude estimation problems corrupted by unknown or inaccurate process noise statistics. The invariant Kalman filter (IKF) takes into
Jiaolong Wang, Minzhe Li
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Advanced Theory and Simulations, Volume 4, Issue 4, April 2021., 2021 This article shows how Markov models can be extended to non‐equilibrium systems. The augmented jump chain allows to represent non‐autonomous Markov jump processes as autonomous Markov chains on space‐time. By this, it inherits the sparseness of the infinitesimal generator of the original process and provides a useful tool for studying time‐dependent ...
Alexander Sikorski +2 more
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Security and Communication Networks, Volume 2021, Issue 1, 2021., 2021 In the present global scenario, social distancing is an inevitable one. The need for social distancing and advancements of technology to facilitate the patients and doctors around the world mandated the telemedicine and remote monitoring of patience details as the pivotal way to diagnose the disease.
Nagarajan Manikandan +5 more
wiley +1 more source
Multiparty Homomorphic Machine Learning with Data Security and Model Preservation
Mathematical Problems in Engineering, Volume 2021, Issue 1, 2021., 2021 With the widespread application of machine learning (ML), data security has been a serious issue. To eliminate the conflict between data privacy and computability, homomorphism is extensively researched due to its capacity of performing operations over ciphertexts. Considering that the data provided by a single party are not always adequate to derive a
Fengtian Kuang +5 more
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European Option Pricing under Wishart Processes
Journal of Mathematics, Volume 2021, Issue 1, 2021., 2021 This study deals with a single risky asset pricing model whose volatility is described by Wishart affine processes. This multifactor model with two dependency matrices describing the correlation between the asset dynamic and Wishart processes makes it more flexible enough to fit the market data for short or long maturities.
Raphael Naryongo +3 more
wiley +1 more source
Non-commutative probability and non-commutative processes
, 2019 A probability space is a pair ($\mathcal{A},\phi $) where $\mathcal{A}$ is an algebra and $\phi $ a state on the algebra. In classical probability $\mathcal{A}$ is the algebra of linear combinations of indicator functions on the sample space and in ...
Mendes, R. Vilela
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An introduction to quantum filtering [PDF]
, 2006 This paper provides an introduction to quantum filtering theory. An introduction to quantum probability theory is given, focusing on the spectral theorem and the conditional expectation as a least squares estimate, and culminating in the construction of ...
Bouten, Luc +2 more
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Group invariant inferred distributions via noncommutative probability
, 2006 One may consider three types of statistical inference: Bayesian, frequentist, and group invariance-based. The focus here is on the last method. We consider the Poisson and binomial distributions in detail to illustrate a group invariance method for ...
Heller, B., Wang, M.
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