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Spectral submanifolds (SSMs) have emerged as accurate and predictive model reduction tools for dynamical systems defined either by equations or data sets. While finite-elements (FE) models belong to the equation-based class of problems,…

Dynamical Systems · Mathematics 2024-12-18 Mattia Cenedese , Jacopo Marconi , George Haller , Shobhit Jain

We construct new integrable coupled systems of N=1 supersymmetric equations and present integrable fermionic extensions of the Burgers and Boussinesq equations. Existence of infinitely many higher symmetries is demonstrated by the presence…

Mathematical Physics · Physics 2008-04-24 Arthemy V. Kiselev , Thomas Wolf

We consider a nonlinear Timoshenko system of partial differential equations (PDEs) with a frictional damping term in rotation angle. The nonlinearity is due to the arbitrary dependence on the rotation moment. A Lie symmetry group…

Analysis of PDEs · Mathematics 2016-12-22 S. M. Al-Omari , F. D. Zaman , A. Y. Al-Dweik , Ryad A Ghanam

We generalize earlier results of Fokas and Liu and find all locally analytic (1+1)-dimensional evolution equations of order $n$ that admit an $N$-shock type solution with $N\leq n+1$. To this end we develop a refinement of the technique…

Exactly Solvable and Integrable Systems · Physics 2017-09-29 A. Sergyeyev

We develop an approach to learn an interpretable semi-parametric model of a latent continuous-time stochastic dynamical system, assuming noisy high-dimensional outputs sampled at uneven times. The dynamics are described by a nonlinear…

Machine Learning · Statistics 2019-02-13 Lea Duncker , Gergo Bohner , Julien Boussard , Maneesh Sahani

We argue that fermion-boson mapping techniques represent a natural tool for studying many-body supersymmetry in fermionic systems with pairing. In particular, using the generalized Dyson mapping of a many-level fermion superalgebra with the…

Nuclear Theory · Physics 2009-11-10 Pavel Cejnar , Hendrik B. Geyer

We consider a non-stationary Stokes-Nernst-Planck-Poisson system posed in perforated domains. Our aim is to justify rigorously the homogenization limit for the upscaled system derived by means of two-scale convergence in \cite{RMK12}. In…

Analysis of PDEs · Mathematics 2017-10-26 Vo Anh Khoa , Adrian Muntean

We compute the supersymmetric partition function of the six-dimensional $(2,0)$ theory of type $A_{N-1}$ on $S^1 \times S^5$ in the presence of both codimension two and codimension four defects. We concentrate on a limit of the partition…

High Energy Physics - Theory · Physics 2016-04-28 Mathew Bullimore , Hee-Cheol Kim

The image classification machine learning model was trained with the intention to predict the category of the input image. While multiple state-of-the-art ensemble model methodologies are openly available, this paper evaluates the…

Machine Learning · Computer Science 2020-10-19 W. H. Huang

The isotropic harmonic oscillator and the Kepler-Coulomb system are pivotal models in the Sciences. They are two examples of second-order (maximally) superintegrable (Hamiltonian) systems. These systems are classified in dimension two. A…

Differential Geometry · Mathematics 2026-01-21 Jeremy Nugent , Andreas Vollmer

We consider the solution of nonlinear programs with nonlinear semidefiniteness constraints. The need for an efficient exploitation of the cone of positive semidefinite matrices makes the solution of such nonlinear semidefinite programs more…

Optimization and Control · Mathematics 2007-05-23 Roland W. Freund , Florian Jarre , Christoph Vogelbusch

The optimal selection of experimental conditions is essential to maximizing the value of data for inference and prediction, particularly in situations where experiments are time-consuming and expensive to conduct. We propose a general…

Machine Learning · Statistics 2012-12-04 Xun Huan , Youssef M. Marzouk

It is shown that large classes of nonlinear systems of PDEs, with possibly associated initial and/or boundary value problems, can be solved by the method of order completion. The solutions obtained can be assimilated with Hausdorff…

Analysis of PDEs · Mathematics 2007-05-23 Roumen Anguelov , Elemer E Rosinger

We introduce an efficient first-order primal-dual method for the solution of nonsmooth PDE-constrained optimization problems. We achieve this efficiency through not solving the PDE or its linearisation on each iteration of the optimization…

Optimization and Control · Mathematics 2024-06-11 Bjørn Jensen , Tuomo Valkonen

In this paper we study the dynamics of a fast-slow Fokker-Planck partial differential equation (PDE) viewed as the evolution equation for the density of a multiscale planar stochastic differential equation (SDE). Our key focus is on the…

Analysis of PDEs · Mathematics 2025-02-03 Christian Kuehn , Jan-Eric Sulzbach

We present a systematic search method for finding Hirota bilinear systems of nonlinear evolution equations, with emphasis on the nonlinear Schr\"odinger equation (NLSE). Using a known exact solution, couplings between the different terms of…

Exactly Solvable and Integrable Systems · Physics 2025-08-22 I. Albazlamit , L. Al Sakkaf , U. Al Khawaja

We propose a novel type of nonlinear solver acceleration for systems of nonlinear partial differential equations (PDEs) that is based on online/adaptive learning. It is applied in the context of multiphase flow in porous media. The proposed…

Machine Learning · Computer Science 2025-04-28 Vinicius L S Silva , Pablo Salinas , Claire E Heaney , Matthew Jackson , Christopher C Pain

In this paper we derive two examples of fully-nonlinear symmetry-integrable evolution equations with algebraic nonlinearities, namely one class of 3rd-order equations and a 5th-order equation. To achieve this we study the equations'…

Exactly Solvable and Integrable Systems · Physics 2025-07-30 Marianna Euler , Norbert Euler

We classify integrable third order equations in 2+1 dimensions which generalize the examples of Kadomtsev-Petviashvili, Veselov-Novikov and Harry Dym equations. Our approach is based on the observation that dispersionless limits of…

Exactly Solvable and Integrable Systems · Physics 2012-10-01 E. V. Ferapontov , A. Moro , V. S. Novikov

This paper investigates the applicability of a recently-proposed nonlinear sparse Bayesian learning (NSBL) algorithm to identify and estimate the complex aerodynamics of limit cycle oscillations. NSBL provides a semi-analytical framework…

Computational Engineering, Finance, and Science · Computer Science 2022-10-24 Rimple Sandhu , Brandon Robinson , Mohammad Khalil , Chris L. Pettit , Dominique Poirel , Abhijit Sarkar