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In this review article we consider linear regression analysis from a geometric perspective, looking at standard methods and outputs in terms of the lengths of the relevant vectors and the angles between these vectors. We show that standard…

Methodology · Statistics 2021-09-20 Ben O'Neill

A tutorial introduction to projective geometric algebra (PGA), a modern, coordinate-free framework for doing euclidean geometry. PGA features: uniform representation of points, lines, and planes; robust, parallel-safe join and meet…

General Mathematics · Mathematics 2020-08-19 Charles G. Gunn

The article provides an introduction to infinite-dimensional differential calculus over topological fields and surveys some of its applications, notably in the areas of infinite-dimensional Lie groups and dynamical systems.

Functional Analysis · Mathematics 2009-11-11 Helge Glockner

In this paper we discuss various connections between geometric discrepancy measures, such as discrepancy with respect to convex sets (and convex sets with smooth boundary in particular), and applications to numerical analysis and…

Numerical Analysis · Mathematics 2013-11-18 Josef Dick

In this paper we examine the potential of computer-assisted proof methods to be applied much more broadly than commonly recognized. More specifically, we contend that there are vast opportunities to derive useful mathematical results and…

Logic in Computer Science · Computer Science 2021-05-27 Jeffrey Uhlmann , Jie Wang

Even though image signals are typically acquired on a regular two dimensional grid, there exist many scenarios where non-regular sampling is possible. Non-regular sampling can remove aliasing. In terms of the non-regular sampling patterns,…

Image and Video Processing · Electrical Eng. & Systems 2022-03-02 Simon Grosche , Jürgen Seiler , André Kaup

Continuous-time projected dynamical systems are an elementary class of discontinuous dynamical systems with trajectories that remain in a feasible domain by means of projecting outward-pointing vector fields. They are essential when…

Optimization and Control · Mathematics 2020-08-06 Adrian Hauswirth , Saverio Bolognani , Florian Dörfler

In these lecture notes we present different methods and concepts developed in statistical physics to analyze gradient descent dynamics in high-dimensional non-convex landscapes. Our aim is to show how approaches developed in physics, mainly…

Disordered Systems and Neural Networks · Physics 2023-11-13 Tony Bonnaire , Davide Ghio , Kamesh Krishnamurthy , Francesca Mignacco , Atsushi Yamamura , Giulio Biroli

Off-diagonal geometric phases acquired in the evolution of a spin-1/2 system have been investigated by means of a polarized neutron interferometer. Final counts with and without polarization analysis enable us to observe simultaneously the…

Quantum Physics · Physics 2009-11-07 Y. Hasegawa , R. Loidl , G. Badurek , M. Baron , N. Manini , F. Pistolesi , H. Rauch

Given a symmetry group one can construct the invariant dynamics using the technique of nonlinear realizations or the orbit method. The relationship between these methods is discussed. Few examples are presented.

Mathematical Physics · Physics 2015-06-15 Joanna Gonera

Methods were developed in Ref. [1] for constructing reference metrics (and from them differentiable structures) on three-dimensional manifolds with topologies specified by suitable triangulations. This note generalizes those methods by…

General Relativity and Quantum Cosmology · Physics 2024-01-03 Lee Lindblom , Oliver Rinne

Modern machine learning increasingly leverages the insight that high-dimensional data often lie near low-dimensional, non-linear manifolds, an idea known as the manifold hypothesis. By explicitly modeling the geometric structure of data…

Machine Learning · Computer Science 2026-03-02 Willem Diepeveen , Deanna Needell

Ordinary differential equations (ODE) have been widely used for modeling dynamical complex systems. For high-dimensional ODE models where the number of differential equations is large, it remains challenging to estimate the ODE parameters…

Methodology · Statistics 2022-06-20 Muye Nanshan , Nan Zhang , Xiaolei Xun , Jiguo Cao

A classic approach in dynamical systems is to use particular geometric structures to deduce statistical properties, for example the existence of invariant measures with stochastic-like behaviour such as large deviations or decay of…

Dynamical Systems · Mathematics 2012-09-14 José F. Alves , Jorge Milhazes Freitas , Stefano Luzzatto , Sandro Vaienti

Diffusion Map is a spectral dimensionality reduction technique which is able to uncover nonlinear submanifolds in high-dimensional data. And, it is increasingly applied across a wide range of scientific disciplines, such as biology,…

Machine Learning · Computer Science 2026-01-29 Sönke Beier , Paula Pirker-Díaz , Friedrich Pagenkopf , Karoline Wiesner

Continual learning aims to efficiently learn from a non-stationary stream of data while avoiding forgetting the knowledge of old data. In many practical applications, data complies with non-Euclidean geometry. As such, the commonly used…

Computer Vision and Pattern Recognition · Computer Science 2023-04-11 Zhi Gao , Chen Xu , Feng Li , Yunde Jia , Mehrtash Harandi , Yuwei Wu

On the base of Lie algebraic and differential geometry methods, a wide class of multidimensional nonlinear systems is obtained, and the integration scheme for such equations is proposed.

High Energy Physics - Theory · Physics 2008-11-26 A. V. Razumov , M. V. Saveliev

A Nitche's method is presented to couple different mechanical models. They include coupling of a solid and a beam and of a solid and a plate. Both conforming and non-conforming formulations are presented. In a non-conforming for- mulation,…

Numerical Analysis · Mathematics 2024-11-20 Vinh Phu Nguyen , Pierre Kerfriden , Susanne Claus , Stephane P. A. Bordas

The work relates to a new way for analysis of one-dimensional stochastic systems, based on consideration of its higher order difference structure. From this point of view, the deterministic and random processes are analyzed. A new numerical…

Chaotic Dynamics · Physics 2016-09-08 A. Yu. Shahverdian , A. V. Apkarian

Dissipative phenomena manifest in multiple mechanical systems. In this dissertation, different geometric frameworks for modelling non-conservative dynamics are considered. The objective is to generalize several results from conservative…

Mathematical Physics · Physics 2024-09-19 Asier López-Gordón