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Large language models with a huge number of parameters, when trained on near internet-sized number of tokens, have been empirically shown to obey neural scaling laws: specifically, their performance behaves predictably as a power law in…

机器学习 · 计算机科学 2022-11-01 Alexander Maloney , Daniel A. Roberts , James Sully

We study a variational model in nonlinear elasticity allowing for cavitation which penalizes both the volume and the perimeter of the cavities. Specifically, we investigate the approximation (in the sense of {\Gamma}-convergence) of the…

偏微分方程分析 · 数学 2025-03-11 Marco Bresciani , Manuel Friedrich

A new energy functional for pure traction problems in elasticity has been deduced in [23] as the variational limit of nonlinear elastic energy functional for a material body subject to an equilibrated force field: a sort of Gamma limit with…

最优化与控制 · 数学 2019-07-01 Francesco Maddalena , Danilo Percivale , Franco Tomarelli

We prove a threshold phenomenon for the existence/non-existence of energy minimizing solitary solutions of the diffraction management equation for strictly positive and zero average diffraction. Our methods allow for a large class of…

偏微分方程分析 · 数学 2017-11-22 Mi-Ran Choi , Dirk Hundertmark , Young-Ran Lee

We present a scaling technique which transforms the evolution problem for a nonlinear wave equation with small initial data to a linear wave equation with a distributional source. The exact solution of the latter uniformly approximates the…

数学物理 · 物理学 2011-03-23 Nikodem Szpak

Fractional equations have become the model of choice in several applications where heterogeneities at the microstructure result in anomalous diffusive behavior at the macroscale. In this work we introduce a new fractional operator…

数值分析 · 数学 2021-01-29 Marta D'Elia , Christian Glusa

We provide theoretical convergence bounds for the variational Monte Carlo (VMC) method as applied to optimize neural network wave functions for the electronic structure problem. We study both the energy minimization phase and the supervised…

机器学习 · 计算机科学 2025-03-07 Nilin Abrahamsen , Zhiyan Ding , Gil Goldshlager , Lin Lin

The variational approach to fracture is effective for simulating the nucleation and propagation of complex crack patterns, but is computationally demanding. The model is a strongly nonlinear non-convex variational inequality that demands…

数值分析 · 数学 2016-05-18 Patrick E. Farrell , Corrado Maurini

The cluster variation method (CVM) is a hierarchy of approximate variational techniques for discrete (Ising--like) models in equilibrium statistical mechanics, improving on the mean--field approximation and the Bethe--Peierls approximation,…

统计力学 · 物理学 2007-07-16 Alessandro Pelizzola

This study seeks a better comprehension of anomalies by exploring (n+1)-point perturbative amplitudes in a 2n-dimensional framework. The involved structures combine axial and vector vertices into odd tensors. This configuration enables…

高能物理 - 理论 · 物理学 2024-02-09 José Fernando Thuorst , Luciana Ebani , Thalis José Girardi

A nonparametric variant of the Kiefer--Weiss problem is proposed and investigated. In analogy to the classical Kiefer--Weiss problem, the objective is to minimize the maximum expected sample size of a sequential test. However, instead of…

统计理论 · 数学 2020-10-26 Michael Fauß , H. Vincent Poor

Deep neural networks exhibit empirical neural scaling laws, with error decreasing as a power law with increasing model or data size, across a wide variety of architectures, tasks, and datasets. This universality suggests that scaling laws…

机器学习 · 计算机科学 2024-12-12 Ari Brill

The fluctuation scaling law has universally been observed in a wide variety of phenomena. For counting processes describing the number of events occurred during time intervals, it is expressed as a power function relationship between the…

数据分析、统计与概率 · 物理学 2013-07-01 Shinsuke Koyama

In this work we prove a weak Noether type theorem for a class of variational problems which include broken extremals. We then use this result to prove discrete Noether type conservation laws for certain classes of finite element…

数值分析 · 数学 2015-03-17 Elizabeth Mansfield , Tristan Pryer

We reconsider the geometrically nonlinear Cosserat model for a uniformly convex elastic energy and write the equilibrium problem as a minimization problem. Applying the direct methods of the calculus of variations we show the existence of…

偏微分方程分析 · 数学 2014-12-16 Patrizio Neff , Mircea Bîrsan , Frank Osterbrink

In this paper, we establish an $\varepsilon$-regularity theorem for minimizers of an Alt-Phillips type functional subject to constraint maps. We prove that under sufficiently small energy, the minimizers exhibit regularity, and hence…

偏微分方程分析 · 数学 2026-04-01 Rada Ziganshina

We discuss the universal scaling laws of order parameter fluctuations in any system in which the second-order critical behavior can be identified. These scaling laws can be derived rigorously for equilibrium systems when combined with the…

核理论 · 物理学 2007-05-23 R. Botet , M. Ploszajczak

The recent work, Nemoto and Sasa [Phys. Rev. E, 83: 030105(R) (2011)], has shown that large deviations of the current characterizing a nonequilibrium system are obtained by observing the typical current for a modified system specified by a…

统计力学 · 物理学 2013-07-24 Yuki Sughiyama , Masayuki Ohzeki

We develop a variationally consistent mesoscopic extension of Cosserat elasticity motivated by the breakdown of compatibility in classical formulations. By admitting compatibility-breaking perturbations, the classical theory ceases to…

数学物理 · 物理学 2026-04-15 Lev Steinberg

We prove a theorem for the growth of the energy of bounded, globally minimizing solutions to a class of semilinear elliptic systems of the form $\Delta u=\nabla W(u)$, $x\in \mathbb{R}^n$, $n\geq 2$, with $W:\mathbb{R}^m\to \mathbb{R}$,…

偏微分方程分析 · 数学 2014-04-09 Christos Sourdis