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We study proximal random reshuffling for minimizing the sum of locally Lipschitz functions and a proper lower semicontinuous convex function without assuming coercivity or the existence of limit points. The algorithmic guarantees pertaining…

Optimization and Control · Mathematics 2024-08-15 Cedric Josz , Lexiao Lai , Xiaopeng Li

Latent force models are a class of hybrid models for dynamic systems, combining simple mechanistic models with flexible Gaussian process (GP) perturbations. An extension of this framework to include multiplicative interactions between the…

Machine Learning · Statistics 2019-01-01 Daniel J. Tait , Bruce J. Worton

We generalize lattice models of brittle fracture to arbitrary nonlinear force laws and study the existence of arrested semi-infinite cracks. Unlike what is seen in the discontinuous case studied to date, the range in driving displacement…

Soft Condensed Matter · Physics 2009-10-31 David A. Kessler , Herbert Levine

Gaining insights from realistic dynamical models of biochemical systems can be challenging given their large number of state variables. Model reduction techniques can mitigate this by decreasing complexity by mapping the model onto a…

Computational Engineering, Finance, and Science · Computer Science 2024-11-22 Alexander Leguizamon-Robayo , Antonio Jiménez-Pastor , Micro Tribastone , Max Tschaikowski , Andrea Vandin

Computational models of atmospheric composition are not always physically consistent. For example, not all models respect fundamental conservation laws such as conservation of atoms in an interconnected chemical system. In well performing…

Atmospheric and Oceanic Physics · Physics 2024-08-30 Patrick Obin Sturm , Sam J. Silva

In the paper we present results to develop an irreducible theory of complex systems in terms of self-organization processes of prime integer relations. Based on the integers and controlled by arithmetic only the self-organization processes…

Adaptation and Self-Organizing Systems · Physics 2007-05-23 Victor Korotkikh , Galina Korotkikh

Conservative inference is a major concern in simulation-based inference. It has been shown that commonly used algorithms can produce overconfident posterior approximations. Balancing has empirically proven to be an effective way to mitigate…

Machine Learning · Statistics 2023-04-24 Arnaud Delaunoy , Benjamin Kurt Miller , Patrick Forré , Christoph Weniger , Gilles Louppe

We present a new approach for finding conservation laws in the perturbation theory of black holes which applies for the more general cases of non-Hermitian equations governing the perturbations. The approach is based on a general result…

General Relativity and Quantum Cosmology · Physics 2016-08-31 R. Cartas-Fuentevilla

The study of long wavelength scalar perturbations, in particular the existence of conserved quantities when the perturbations are adiabatic, plays an important role in e.g. inflationary cosmology. In this paper we present some new conserved…

General Relativity and Quantum Cosmology · Physics 2019-08-07 Claes Uggla , John Wainwright

We apply here a recently developed approach to compute the short distance corrections to scaling for the correlators of all primary operators of the critical two dimensional Ising model in a magnetic field. The essence of the method is the…

High Energy Physics - Theory · Physics 2009-10-30 R. Guida , N. Magnoli

This is one of the two papers where the optimized perturbation theory was first formulated. The other paper is published in Theor. Math. Phys. 28, 652--660 (1976). The main idea of the theory is to reorganize the perturbative sequence by…

Statistical Mechanics · Physics 2019-01-29 V. I. Yukalov

A new approach, combining the Ibragimov method and the one by Anco and Bluman, with the aim of algorithmically computing local conservation laws of partial differential equations, is discussed. Some examples of the application of the…

Mathematical Physics · Physics 2017-04-05 M. Ruggieri , M. P. Speciale

Existing effect measures for compositional features are inadequate for many modern applications, for example, in microbiome research, since they display traits such as high-dimensionality and sparsity that can be poorly modelled with…

Methodology · Statistics 2025-06-02 Anton Rask Lundborg , Niklas Pfister

We prove a stochastic averaging theorem for stochastic differential equations in which the slow and the fast variables interact. The approximate Markov fast motion is a family of Markov process with generator ${\mathcal L}_x$ for which we…

Probability · Mathematics 2019-02-19 Xue-Mei Li

Standard perturbation theory of eigenvalue problems consists of obtaining approximations of eigenmodes in the neighborhood of an operator where the corresponding eigenmode is known. Nevertheless, if the corresponding eigenmodes of several…

Mathematical Physics · Physics 2025-07-29 Geneviève Dusson , Louis Garrigue , Benjamin Stamm

The problem of sparse linear regression is relevant in the context of linear system identification from large datasets. When data are collected from real-world experiments, measurements are always affected by perturbations or low-precision…

Optimization and Control · Mathematics 2020-04-01 S. M. Fosson , V. Cerone , D. Regruto

Preservation of linear and quadratic invariants by numerical integrators has been well studied. However, many systems have linear or quadratic observables that are not invariant, but which satisfy evolution equations expressing important…

Numerical Analysis · Mathematics 2025-06-02 Robert I. McLachlan , Ari Stern

We analyze the Basis Pursuit recovery of signals with general perturbations. Previous studies have only considered partially perturbed observations Ax + e. Here, x is a signal which we wish to recover, A is a full-rank matrix with more…

Information Theory · Computer Science 2015-05-13 Matthew A. Herman , Thomas Strohmer

In the present work we revisit the Salerno model as a prototypical system that interpolates between a well-known integrable system (the Ablowitz-Ladik lattice) and an experimentally tractable non-integrable one (the discrete nonlinear…

Pattern Formation and Solitons · Physics 2023-02-22 Thudiyangal Mithun , Aleksandra Maluckov , Ana Mančić , Avinash Khare , Panayotis G. Kevrekidis

Gauge invariant conservation laws for the linear and angular momenta are studied in a certain 2+1 dimensional first order dynamical model of vortices in superconductivity. In analogy with fluid vortices it is possible to express the linear…

High Energy Physics - Theory · Physics 2009-10-31 N. S. Manton , S. M. Nasir