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We investigate existence, uniqueness and regularity for local solutions of rough parabolic equations with subcritical noise of the form $du_t- L_tu_tdt= N(u_t)dt + \sum_{i = 1}^dF_i(u_t)d\mathbf X^i_t$ where $(L_t)_{t\in[0,T]}$ is a…

Analysis of PDEs · Mathematics 2021-08-24 Andris Gerasimovics , Antoine Hocquet , Torstein Nilssen

We introduce a new method with spectral accuracy to solve linear non-autonomous ordinary differential equations (ODEs) of the kind $ \frac{d}{dt}\tilde{u}(t) = \tilde{f}(t) \tilde{u}(t)$, $\tilde{u}(-1)=1$, with $\tilde{f}(t)$ an analytic…

Numerical Analysis · Mathematics 2023-03-21 Stefano Pozza , Niel Van Buggenhout

The nonlinear Schr\"odinger equation (NLSE) is a fundamental model that describes diverse complex phenomena in nature. However, simulating the NLSE on a quantum computer is inherently challenging due to the presence of the nonlinear term.…

Quantum Physics · Physics 2026-02-17 Kaiwen Weng , Zhaoyuan Meng , Guohui Hu

The local and non-local vector Non-linear Schrodinger Equation (NLSE) with a general cubic non-linearity are considered in presence of a linear term characterized, in general, by a non-hermitian matrix which under certain condition…

Exactly Solvable and Integrable Systems · Physics 2022-09-29 Debdeep Sinha

The Lagrange-mesh method is a very accurate procedure to compute eigenvalues and eigenfunctions of a two-body quantum equation. The method requires only the evaluation of the potential at some mesh points in the configuration space. It is…

Computational Physics · Physics 2011-09-21 Gwendolyn Lacroix , Claude Semay

Frequency combs can be generated in millimeter-sized optical resonators thanks to their ability to store extremely high light intensities and the nonlinearity of their materials. New frequencies are generated through a cascaded parametric…

Optics · Physics 2023-03-01 Aurélien Coillet , Shuangyou Zhang , Pascal Del'Haye

A global approximation method of Nystr\"om type is explored for the numerical solution of a class of nonlinear integral equations of the second kind. The cases of smooth and weakly singular kernels are both considered. In the first…

Numerical Analysis · Mathematics 2024-07-16 Luisa Fermo , Anna Lucia Laguardia , Concetta Laurita , Maria Grazia Russo

We are concerned with $T$-periodic solutions of nonautonomous parabolic problem of the form $u_t = \Delta u + V(x) u + f(t,x,u)$, $t >0$, $x \in \mathbb{R}^N$, with $V \in L^\infty (\mathbb{R}^N)+L^p(\mathbb{R}^N)$, $p \geq N$ and…

Analysis of PDEs · Mathematics 2014-11-18 Aleksander Cwiszewski , Renata Lukasiak

Retrieval-based question answering systems often suffer from positional bias, leading to suboptimal answer generation. We propose LoRE (Logit-Ranked Retriever Ensemble), a novel approach that improves answer accuracy and relevance by…

Computation and Language · Computer Science 2024-10-15 Saikrishna Sanniboina , Shiv Trivedi , Sreenidhi Vijayaraghavan

In this article, a new reproducing kernel approach is developed for obtaining numerical solution of nonlinear three-point boundary value problems with fractional order. This approach is based on reproducing kernel which is constructed by…

Numerical Analysis · Mathematics 2020-01-20 Mehmet Giyas Sakar , Onur Saldır

In this paper, a novel formula expressing explicitly the fractional-order derivatives, in the sense of Riesz-Feller operator, of Jacobi polynomials is presented. Jacobi spectral collocation method together with trapezoidal rule are used to…

Numerical Analysis · Mathematics 2018-03-30 N. H. Sweilam , M. M. Abou Hasan

Local Linear embedding (LLE) is a popular dimension reduction method. In this paper, we first show LLE with nonnegative constraint is equivalent to the widely used Laplacian embedding. We further propose to iterate the two steps in LLE…

Machine Learning · Computer Science 2012-07-03 Deguang Kong , Chris H. Q. Ding , Heng Huang , Feiping Nie

The logarithmic nonlinearity has been used in many partial differential equations (PDEs) for modeling problems in various applications.Due to the singularity of the logarithmic function, it introducestremendous difficulties in establishing…

Numerical Analysis · Mathematics 2021-09-07 Weizhu Bao , Remi Carles , Chunmei Su , Qinglin Tang

We construct quantum algorithms to compute the solution and/or physical observables of nonlinear ordinary differential equations (ODEs) and nonlinear Hamilton-Jacobi equations (HJE) via linear representations or exact mappings between…

Quantum Physics · Physics 2023-06-14 Shi Jin , Nana Liu , Yue Yu

The time-dependent Gross-Pitaevksii equation (GPE) is a nonlinear Schr\"odinger equation which is used in quantum physics to model the dynamics of Bose-Einstein condensates. In this work we consider numerical approximations of the GPE based…

Numerical Analysis · Mathematics 2024-09-19 Christian Döding

A lattice version of quantum nonlinear Schrodinger (NLS) equation is considered, which has significantly simple form and fullfils most of the criteria desirable for such lattice variants of field models. Unlike most of the known lattice…

High Energy Physics - Theory · Physics 2009-10-28 A Kundu , Orlando Ragnisco

The Loewner framework-(LF) in combination with Volterra series-(VS) offers a non-intrusive approximation method that is capable of identifying bilinear models from time-domain measurements. This method uses harmonic inputs which establish a…

Dynamical Systems · Mathematics 2020-09-23 D. S. Karachalios , I. V. Gosea , A. C. Antoulas

Kerr frequency comb generation relies on dedicated waveguide platforms that are optimized towards ultralow loss while offering comparatively limited functionality restricted to passive building blocks. In contrast to that, the…

Optics · Physics 2021-07-07 P. Trocha , J. Gärtner , P. Marin-Palomo , W. Freude , W. Reichel , C. Koos

In this paper, developing a new approach based on Fourier analysis methods for dispersive PDEs, we establish a low regularity NLS approximation for the one-dimensional cubic Klein-Gordon equation. Our main result includes energy class…

Analysis of PDEs · Mathematics 2022-08-25 Seokchang Hong , Younghun Hong

This paper provides a probabilistic approach to solve linear equations involving Caputo and Riemann-Liouville type derivatives. Using the probabilistic interpretation of these operators as the generators of interrupted Feller processes, we…

Probability · Mathematics 2015-12-07 M. E. Hernández-Hernández , V. N. Kolokoltsov