Results 11 to 20 of about 95 (91)
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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When weak convergence in von Neumann algebras implies almost uniform convergence?
Bulletin of the London Mathematical Society, Volume 58, Issue 9, September 2026.Abstract We show that weak sequential convergence in a semifinite von Neumann algebra M$\mathcal {M}$ equipped with a faithful normal semifinite trace τ$\tau$ implies almost uniform convergence if and only if M$\mathcal {M}$ is of type Ifin$\mathrm{I}_{\rm fin}$ with τ(1)<∞;$\tau (\mathbf {1})<\infty;$ and that weak sequential convergence in a finite ...
Yerlan Nessipbayev +2 more
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A Unified Framework From Boltzmann Transport to Proton Treatment Planning
Studies in Applied Mathematics, Volume 157, Issue 2, August 2026.ABSTRACT We develop a unified stochastic–deterministic framework for proton transport in radiotherapy. The deterministic formulation is based on a Boltzmann–Fokker–Planck (BFP) equation with continuous slowing‐down, angular diffusion, and scattering terms, posed in a kinetic variational setting.
Andreas E. Kyprianou +2 more
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A Dialogue on Revolutions and Revolutionaries in Science: A Perspective From Quantum Mechanics
Natural Sciences, Volume 6, Issue 3, July 2026.ABSTRACT We discuss the notions of scientific revolutions and revolutionaries in the context of the Relativity Revolution and of the First, Second, and Third Quantum Revolutions. We conclude that at the core of the question of what qualifies as a revolution and revolutionary is an assessment of the gradients of knowledge accumulation over time, both at
Ron Folman, Bretislav Friedrich
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Negativity‐preserving transforms of tuples of symmetric matrices
Proceedings of the London Mathematical Society, Volume 132, Issue 4, April 2026.Abstract Compared to the entrywise transforms which preserve positive semidefiniteness, those leaving invariant the inertia of symmetric matrices reveal a surprising rigidity. We first obtain the classification of negativity preservers by combining recent advances in matrix analysis with some novel arguments relying on well‐chosen test matrices, Sidon ...
Alexander Belton +3 more
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Models in Decision‐Making Under Risk and Uncertainty
Journal of Economic Surveys, Volume 40, Issue 1, Page 304-320, February 2026.ABSTRACT This paper systematically compares dominant frameworks for modeling decision‐making under risk and uncertainty, evaluating their theoretical trade‐offs and practical relevance for economic research. We establish key criteria for model selection—including predictive accuracy, descriptive realism, computational tractability, and ecological ...
Martin Höppner
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Multi‐Channel Convolutional Neural Quantum Embedding
Advanced Quantum Technologies, Volume 9, Issue 1, January 2026.This study presents convolutional neural quantum embedding (CNQE), a framework for optimizing quantum data embeddings for multi‐channel data classification, grounded in quantum state discrimination and Fourier analysis of quantum circuits. CNQE is validated through proof‐of‐principle demonstrations on CIFAR‐10 and Tiny ImageNet, showing improved ...
Yujin Kim +4 more
wiley +1 more source
FPGA Realization of a Novel Hyperchaos Augmented Image Encryption Algorithm
IET Computers &Digital Techniques, Volume 2026, Issue 1, 2026.With the rapid growth of multimedia communication, protecting image data has become increasingly critical. This article proposes a novel 3‐stage hyperchaos‐based augmented image encryption technique (3SHAIET) that utilizes a three‐stage process with chaotic systems of increasing dimensionality (e.g., six‐dimensional [6D], 8D, and 9D) to enhance ...
Wassim Alexan +6 more
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