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Supersonic flow of a superfluid past a slender impenetrable macroscopic obstacle is studied in the framework of the two-dimensional defocusing nonlinear Schr\"odinger (NLS) equation. This problem is of fundamental importance as a dispersive…

斑图形成与孤子 · 物理学 2013-05-29 G. A. El , A. M. Kamchatnov , V. V. Khodorovskii , E. S. Annibale , A. Gammal

Particle filters (PFs) are recursive Monte Carlo algorithms for Bayesian tracking and prediction in state space models. This paper addresses continuous-discrete filtering problems, where the hidden state evolves as an It\^o stochastic…

统计计算 · 统计学 2026-04-24 Utku Erdogan , Gabriel J. Lord , Joaquin Miguez

In this paper, we study the semiclassical Schr\"odinger equation with random parameters and develop several robust multi-fidelity methods. We employ the time-splitting Fourier pseudospectral (TSFP) method for the high-fidelity solver, and…

数值分析 · 数学 2025-08-19 Yiwen Lin , Liu Liu

In many engineering and applied science domains, high-dimensional nonlinear filtering is still a challenging problem. Recent advances in score-based diffusion models offer a promising alternative for posterior sampling but require repeated…

机器学习 · 计算机科学 2025-09-25 Zhijun Zeng , Weiye Gan , Junqing Chen , Zuoqiang Shi

The solving of the derivative nonlinear Schrodinger equation (DNLS) has attracted considerable attention in theoretical analysis and physical applications. Based on the physics-informed neural network (PINN) which has been put forward to…

斑图形成与孤子 · 物理学 2021-01-22 Juncai Pu , Jun Li , Yong Chen

We examine the stability of the elliptic solutions of the focusing nonlinear Schr\"odinger equation (NLS) with respect to subharmonic perturbations. Using the integrability of NLS, we discuss the spectral stability of the elliptic…

可精确求解与可积系统 · 物理学 2019-10-23 Bernard Deconinck , Jeremy Upsal

Nonlocal integrable partial differential equations possessing a spatial or temporal reflection have constituted an active research area for the past decade. Recently, more general classes of these nonlocal equations have been proposed,…

可精确求解与可积系统 · 物理学 2024-07-26 Mark J. Ablowitz , Ziad H. Musslimani , Nicholas J. Ossi

The two-dimensional cubic nonlinear Schrodinger equation (NLS) can be used as a model of phenomena in physical systems ranging from waves on deep water to pulses in optical fibers. In this paper, we establish that every one-dimensional…

斑图形成与孤子 · 物理学 2016-09-08 John D. Carter , Harvey Segur

A novel overlapping domain decomposition splitting algorithm based on a Crank-Nisolson method is developed for the stochastic nonlinear Schroedinger equation driven by a multiplicative noise with non-periodic boundary conditions. The…

数值分析 · 数学 2023-09-08 Lihai Ji

In this study, we consider the nonlinear Sch\"odinger equation (NLS) with the zero-boundary condition on a two- or three-dimensional large finite cubic lattice. We prove that its solution converges to that of the NLS on the entire Euclidean…

偏微分方程分析 · 数学 2022-02-22 Younghun Hong , Chulkwang Kwak , Changhun Yang

Neural networks are powerful tools for approximating high dimensional data that have been used in many contexts, including solution of partial differential equations (PDEs). We describe a solver for multiscale fully nonlinear elliptic…

数值分析 · 数学 2025-03-07 Shi Chen , Zhiyan Ding , Qin Li , Stephen J. Wright

In this paper, we propose a numerical method to approximate the solution of the time-dependent Schr\"odinger equation with periodic boundary condition in a high-dimensional setting. We discretize space by using the Fourier pseudo-spectral…

数值分析 · 数学 2019-05-20 Yuya Suzuki , Dirk Nuyens

We perform the analysis of the focusing nonlinear Schr\"odinger equation on the half-line with time-dependent boundary conditions along the lines of the nonlinear method of images with the help of B\"acklund transformations. The difficulty…

斑图形成与孤子 · 物理学 2025-04-25 Vincent Caudrelier , Nicolas Crampe , Carlos Mbala Dibaya

In this paper, we present a novel framework to solve differential equations based on multilayer feedforward network. Previous works indicate that solvers based on neural network have low accuracy due to that the boundary conditions are not…

数值分析 · 数学 2019-04-16 Zeyu Liu , Yantao Yang , Qing-Dong Cai

A nonlocal derivative NLS (nonlinear Schr\"{o}dinger) equation describes modulations of waves in a stratified fluid and a continuous limit of the Calogero--Moser--Sutherland system of particles. For the defocusing version of this equation,…

可精确求解与可积系统 · 物理学 2025-01-28 Jinbing Chen , Dmitry E. Pelinovsky

We study the focusing NLS equation in $\mathbb{R}^N$ in the mass-supercritical and energy-subcritical (or intercritical) regime, with $H^1$ data at the mass-energy threshold $ \mathcal{ME}(u_0)=\mathcal{ME}(Q)$, where $Q$ is the ground…

偏微分方程分析 · 数学 2020-10-28 Luccas Campos , Luiz Gustavo Farah , Svetlana Roudenko

We consider the nonlinear Schr{\"o}dinger equation (NLSE) in 1+1 dimension with scalar-scalar self interaction $\frac{g^2}{\kappa+1} (\psi^\star \psi)^{\kappa+1}$ in the presence of the external forcing terms of the form $r e^{-i(kx +…

斑图形成与孤子 · 物理学 2013-05-30 Fred Cooper , Avinash Khare , Niurka R. Quintero , Franz G. Mertens , Avadh Saxena

A matrix inverse free method to solve time-dependent Schrodinger equation is presented. The method is not subject to form of Hamiltonian and adopting real space grid system such as structured and unstructured grid, and achieves the order N…

计算物理 · 物理学 2007-05-23 Katsuhiro Watanabe , Akihito Kikuchi

In this paper we use a similarity transformation connecting some families of Nonlinear Schrodinger equations with time-varying coefficients with the autonomous cubic nonlinear Schrodinger equation. This transformation allows one to apply…

斑图形成与孤子 · 物理学 2009-11-11 Victor M. Perez-Garcia , Pedro J. Torres , Vladimir V. Konotop

The Schrodinger equation is considered with the first order time derivative changed to a Caputo fractional derivative, the time fractional Schrodinger equation. The resulting Hamiltonian is found to be non-Hermitian and non-local in time.…

数学物理 · 物理学 2009-11-10 Mark Naber