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This is a survey article on real algebra and geometry, and in particular on its recent applications in optimization and convexity. We first introduce basic notions and results from the classical theory. We then explain how these relate to…

Algebraic Geometry · Mathematics 2016-06-24 Tim Netzer

The notion of optical geometry, introduced more than twenty years ago as a formal tool in quantum field theory on a static background, has recently found several applications to the study of physical processes around compact objects. In…

General Relativity and Quantum Cosmology · Physics 2008-11-26 S. Sonego , J. Almergren , M. Abramowicz

Differential forms is a highly geometric formalism for physics used from field theories to General Relativity (GR) which has been a great upgrade over vector calculus with the advantages of being coordinate-free and carrying a high degree…

General Relativity and Quantum Cosmology · Physics 2024-07-26 Pablo Bañón Pérez , Maarten DeKieviet

We show that Euclidean geometry in suitably high dimension can be expressed as a theory of orthogonality of subspaces with fixed dimensions and fixed dimension of their meet.

Metric Geometry · Mathematics 2012-03-14 J. Konarzewski , M. Żynel

The proper Euclidean geometry is considered to be metric space and described in terms of only metric and finite metric subspaces (sigma-immanent description). Constructing the geometry, one does not use topology and topological properties.…

Metric Geometry · Mathematics 2007-05-23 Yuri A. Rylov

Graph transformers typically embed every node in a single Euclidean space, blurring heterogeneous topologies. We prepend a lightweight Riemannian mixture-of-experts layer that routes each node to various kinds of manifold, mixture of…

Machine Learning · Computer Science 2025-07-11 Ankit Jyothish , Ali Jannesari

We propose an Euclidean geometric representation for the classical detection theory. The proposed representation is so generic that can be employed to almost all communication problems. The hypotheses and observations are mapped into R^N in…

Information Theory · Computer Science 2010-01-18 Muhammet Fatih Bayramoglu , Ali Ozgur Yilmaz

This gives some information about the conformal point and the calibrating conic, and their relationship one to the other. These concepts are useful for visualizing image geometry, and lead to intuitive ways to compute geometry, such as…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Richard Hartley

Non-Euclidean method of the generalized geometry construction is considered. According to this approach any generalized geometry is obtained as a result of deformation of the proper Euclidean geometry. The method may be applied for…

General Mathematics · Mathematics 2007-05-23 Yuri A. Rylov

This paper introduces the conformal model (an extension of the homogeneous coordinate system) for molecular geometry, where 3D space is represented within R^5 with an inner product different from the usual one. This model enables efficient…

Chemical Physics · Physics 2025-11-12 Jesus Camargo , Carlile Lavor , Michael Souza

We consider the numerical homogenization of a class of fractal elliptic interface problems inspired by related mechanical contact problems from the geosciences. A particular feature is that the solution space depends on the actual fractal…

Numerical Analysis · Mathematics 2020-07-23 Ralf Kornhuber , Joscha Podlesny , Harry Yserentant

The concept of viewing graph solvability has gained significant interest in the context of structure-from-motion. A viewing graph is a mathematical structure where nodes are associated to cameras and edges represent the epipolar geometry…

Computer Vision and Pattern Recognition · Computer Science 2025-04-07 Federica Arrigoni , Kathlén Kohn , Andrea Fusiello , Tomas Pajdla

In this paper I present a kind of proof for classical Euclidean geometric problems which relies on both synthetic and analytic geometry. Using the elementary tools of polynomial algebra and multivariate calculus we manage to reduce the…

Algebraic Geometry · Mathematics 2020-05-05 Davide Antonio Nello Maran

We revisit the task of learning a Euclidean metric from data. We approach this problem from first principles and formulate it as a surprisingly simple optimization problem. Indeed, our formulation even admits a closed form solution. This…

Machine Learning · Statistics 2016-07-19 Pourya Habib Zadeh , Reshad Hosseini , Suvrit Sra

A metric introduced on a projective space yields a homogeneous metric space known as a Cayley-Klein geometry. This construction is applicable not only to Euclidean and non-Euclidean spaces but also to kinematic spaces (space-times). A…

Metric Geometry · Mathematics 2014-12-30 Andrey Sokolov

In this paper, we consider the problem of fast and efficient indexing techniques for sequences evolving in non-Euclidean spaces. This problem has several applications in the areas of human activity analysis, where there is a need to perform…

Computer Vision and Pattern Recognition · Computer Science 2015-02-17 Rushil Anirudh , Pavan Turaga

Spatial networks are networks whose graph topology is constrained by their embedded spatial space. Understanding the coupled spatial-graph properties is crucial for extracting powerful representations from spatial networks. Therefore,…

Machine Learning · Computer Science 2024-01-11 Zheng Zhang , Sirui Li , Jingcheng Zhou , Junxiang Wang , Abhinav Angirekula , Allen Zhang , Liang Zhao

A variational principle is applied to 4D Euclidean space provided with a tensor refractive index, defining what can be seen as 4-dimensional optics (4DO). The geometry of such space is analysed, making no physical assumptions of any kind.…

General Physics · Physics 2007-05-23 Jose B. Almeida

I apply the algebraic framework introduced in arXiv:1101.4542v3[math.MG] to Minkowski (pseudo-Euclidean) spaces in 2, 3, and 4 dimensions. The exposition follows the template established in arXiv:1307.2917[math.MG] for Euclidean spaces. The…

Metric Geometry · Mathematics 2013-07-19 Andrey Sokolov

We develop a transitional geometry, that is, a family of geometries of constant curvatures which makes a continuous connec-tion between the hyperbolic, Euclidean and spherical geometries. In this transitional setting, several geometric…

Geometric Topology · Mathematics 2014-11-24 Athanase Papadopoulos , Norbert A'Campo