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For nonlinear differential-algebraic equations (DAEs), we define two kinds of equivalences, namely, the external and internal equivalence. Roughly speaking, the word "external" means that we consider a DAE (locally) everywhere and…

最优化与控制 · 数学 2022-01-21 Yahao Chen , Witold Respondek

We study the problem of construction of explicit isometric embeddings of (pseudo)-Riemannian manifolds. We discuss the method which is based in the idea that the exterior symmetry of the embedded surface and the interior symmetry of the…

广义相对论与量子宇宙学 · 物理学 2020-12-17 A. A. Sheykin , M. V. Markov , Ya. A. Fedulov , S. A. Paston

Low-dimensional embeddings (LDEs) of high-dimensional data are ubiquitous in science and engineering. They allow us to quickly understand the main properties of the data, identify outliers and processing errors, and inform the next steps of…

机器学习 · 计算机科学 2024-06-17 Jonas Fischer , Rong Ma

This paper is a survey of the subject of variations of Hodge structure (VHS) considered as exterior differential systems (EDS). We review developments over the last twenty-six years, with an emphasis on some key examples. In the penultimate…

代数几何 · 数学 2009-09-14 James Carlson , Mark Green , Phillip Griffiths

Learning models of dynamical systems with external inputs, which may be, for example, nonsmooth or piecewise, is crucial for studying complex phenomena and predicting future state evolution, which is essential for applications such as…

机器学习 · 计算机科学 2025-04-16 Zhaoyi Li , Wenjie Mei , Ke Yu , Yang Bai , Shihua Li

The effectiveness of dimensionality reduction with quadratic manifolds hinges on the choice of a reduced basis and the associated quadratic correction terms. Existing approaches typically rely on subspaces spanned by the leading principal…

数值分析 · 数学 2026-05-27 Gavin Paxton , Seunghee Cheon , Rudy Geelen , Shane A. McQuarrie

The central object of this PhD thesis is known under different names in the fields of computer science and statistical mechanics. In computer science, it is called the Maximum Cut problem, one of the famous twenty-one Karp's original…

机器学习 · 计算机科学 2022-08-31 Mikhail Krechetov

These lecture notes provide an introduction to the theory and application of symmetry methods for ordinary differential equations, building on minimal prerequisites. Their primary purpose is to enable a quick and self-contained approach for…

经典分析与常微分方程 · 数学 2023-04-03 Sebastian Walcher

In recent years, manifold learning has become increasingly popular as a tool for performing non-linear dimensionality reduction. This has led to the development of numerous algorithms of varying degrees of complexity that aim to recover man…

机器学习 · 统计学 2013-06-03 Dominique Perraul-Joncas , Marina Meila

This paper investigates the formulation and implementation of Bayesian inverse problems to learn input parameters of partial differential equations (PDEs) defined on manifolds. Specifically, we study the inverse problem of determining the…

数值分析 · 数学 2019-10-24 John Harlim , Daniel Sanz-Alonso , Ruiyi Yang

This paper investigates the relationship between a system of differential equations and the underlying geometry associated with it. The geometry of a surface determines shortest paths, or geodesics connecting nearby points, which are…

微分几何 · 数学 2007-05-23 Richard Atkins

We start by considering the problem of estimating intrinsic distances on a smooth submanifold. We show that minimax optimality can be obtained via a reconstruction of the surface, and discuss the use of a particular mesh construction -- the…

机器学习 · 统计学 2023-10-04 Ery Arias-Castro , Phong Alain Chau

We present a Bayesian approach to identify optimal transformations that map model input points to low dimensional latent variables. The "projection" mapping consists of an orthonormal matrix that is considered a priori unknown and needs to…

The aim of this paper is the derivation of structure preserving schemes for the solution of the EPDiff equation, with particular emphasis on the two dimensional case. We develop three different schemes based on the Discrete Variational…

偏微分方程分析 · 数学 2016-04-26 Stig Larsson , Takayasu Matsuo , Klas Modin , Matteo Molteni

Differential equations (DE) constrained optimization plays a critical role in numerous scientific and engineering fields, including energy systems, aerospace engineering, ecology, and finance, where optimal configurations or control…

机器学习 · 计算机科学 2024-10-03 Vincenzo Di Vito , Mostafa Mohammadian , Kyri Baker , Ferdinando Fioretto

Using nonlinear projections and preserving structure in model order reduction (MOR) are currently active research fields. In this paper, we provide a novel differential geometric framework for model reduction on smooth manifolds, which…

数值分析 · 数学 2024-04-03 Patrick Buchfink , Silke Glas , Bernard Haasdonk , Benjamin Unger

In this work, we investigate the performance CutFEM as a high fidelity solver as well as we construct a competent and economical reduced order solver for PDE-constrained optimization problems in parametrized domains that live in a fixed…

数值分析 · 数学 2022-04-11 Georgios Katsouleas , Efthymios N. Karatzas , Fotios Travlopanos

We are interested in differential forms on mixed-dimensional geometries, in the sense of a domain containing sets of $d$-dimensional manifolds, structured hierarchically so that each $d$-dimensional manifold is contained in the boundary of…

偏微分方程分析 · 数学 2022-01-10 Wietse M. Boon , Jan M. Nordbotten , Jon E. Vatne

These notes were delivered as a series of NIMROD lectures at the Rutherford Appleton Laboratory by the author in February 1976 (RL-76-022). The purpose of these lectures was primarily two-fold: to discuss the classical theory of free point…

数学物理 · 物理学 2016-10-28 R. W. Tucker

In the realm of quantum-effect devices and materials, two-dimensional electron gases (2DEGs) stand as fundamental structures that promise transformative technologies. However, the presence of impurities and defects in 2DEGs poses…

介观与纳米尺度物理 · 物理学 2023-10-12 Carlo da Cunha , Nobuyuki Aoki , David Ferry , Kevin Vora , Yu Zhang