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We apply methods of nonstandard mathematics in order to regard analytic geometry in a very different way. For example, complex spaces are seen to be the "standard part" of certain algebraic nonstandard schemes. We construct a category of…

Algebraic Geometry · Mathematics 2008-06-27 Adel Khalfallah , Siegmund Kosarew

Equilibrium multi-population matching (matching for teams) is a problem from mathematical economics which is related to multi-marginal optimal transport. A special but important case is the Wasserstein barycenter problem, which has…

Numerical Analysis · Mathematics 2014-11-14 Guillaume Carlier , Adam Oberman , Edouard Oudet

We construct the first non-gaussian ensemble that yields the optimal estimate in the Dvoretzky-Milman Theorem: the ensemble exhibits almost Euclidean sections in arbitrary normed spaces of the same dimension as the gaussian embedding --…

Functional Analysis · Mathematics 2023-12-04 Daniel Bartl , Shahar Mendelson

This paper studies the problem of maximizing the sum of traces of matrix quadratic forms on a product of Stiefel manifolds. This orthogonal trace-sum maximization (OTSM) problem generalizes many interesting problems such as generalized…

Optimization and Control · Mathematics 2021-02-09 Joong-Ho Won , Hua Zhou , Kenneth Lange

We present an overview of our recent work on implementable solutions to the Schroedinger bridge problem and their potential application to optimal transport and various generalizations.

Optimization and Control · Mathematics 2015-03-03 Yongxin Chen , Tryphon Georgiou , Michele Pavon

A new pairwise cost function is proposed for the optimal transport barycenter problem, adopting the form of the minimal action between two points, with a Lagrangian that takes into account an underlying probability distribution. Under this…

Computation · Statistics 2025-11-11 Zichu Wang , Esteban G. Tabak

The class of Schoenberg transformations, embedding Euclidean distances into higher dimensional Euclidean spaces, is presented, and derived from theorems on positive definite and conditionally negative definite matrices. Original results on…

Machine Learning · Statistics 2015-03-13 François Bavaud

A new relation between a class of complex polynomials with a good behavior at infinity studied by A. N\'emethi and A. Zaharia and the cohomology groups of affine complex hyperplane arrangement complements with rank one local system…

Algebraic Geometry · Mathematics 2007-05-23 A. Dimca

Here we initiate a program to study relationships between finite groups and arithmetic-geometric invariants in a systematic way. To do this we first introduce a notion of optimal module for a finite group in the setting of holomorphic mock…

Representation Theory · Mathematics 2023-03-14 Miranda C. N. Cheng , John F. R. Duncan , Michael H. Mertens

We study the packing of a large number of congruent and non--overlapping circles inside a regular polygon. We have devised efficient algorithms that allow one to generate configurations of $N$ densely packed circles inside a regular polygon…

Computational Geometry · Computer Science 2023-03-08 Paolo Amore

We show that if the fundamental groups of the complements of two line arrangements in the complex projective plane are isomorphic to the same direct sum of free groups, then the complements of the arrangements are homotopy equivalent. For…

Algebraic Topology · Mathematics 2016-01-20 Kristopher Williams

Entropic optimal transport problems are regularized versions of optimal transport problems. These models play an increasingly important role in machine learning and generative modelling. For finite spaces, these problems are commonly solved…

Machine Learning · Statistics 2025-12-30 O. Deniz Akyildiz , Pierre Del Moral , Joaquín Miguez

Given a set of well-formed terminal pairs on the external face of an undirected planar graph with unit edge weights, we give a linear-time algorithm for computing the union of non-crossing shortest paths joining each terminal pair, where…

Data Structures and Algorithms · Computer Science 2023-05-05 Lorenzo Balzotti , Paolo G. Franciosa

This work is a geometrical approach to the optimization problem motivated by transportation system management. First, an attempt has been made to furnish a comprehensive account of geometric programming based on the elementary Finsler…

Optimization and Control · Mathematics 2021-09-06 Azam Asanjarani

We develop a symmetry-aware toolkit for finite mixtures whose components are only identifiable up to a finite \emph{folding} group action. The correct estimand is the multiset of parameter orbits in the quotient space, not an ordered list…

Methodology · Statistics 2025-11-11 Koustav Mallik

The present paper is devoted to studying of minimal parametric fillings of finite metric spaces (a version of optimal connection problem) by methods of Linear Programming. The estimate on the multiplicity of multi-tours appearing in the…

Metric Geometry · Mathematics 2019-04-24 A. O. Ivanov , A. A. Tuzhilin

The control of active colloidal particles via optical traps is a cornerstone for research of matter at the micron and nanometer scale. A central challenge in this domain is the derivation of optimal transport protocols that minimize the…

Soft Condensed Matter · Physics 2026-03-19 Utkarsh Maurya , Kavya Swaminathan , Ejaz Ashraf , Rajesh Singh

We survey recent progress in computing with finitely generated linear groups over infinite fields, describing the mathematical background of a methodology applied to design practical algorithms for these groups. Implementations of the…

Group Theory · Mathematics 2019-05-09 A. Detinko , D. Flannery

Let A be a line arrangement in the complex projective plane CP2. We define and describe the inclusion map of the boundary manifold --the boundary of a close regular neighborhood of A-- in the exterior of the arrangement. We obtain two…

Geometric Topology · Mathematics 2015-08-05 Vincent Florens , Benoît Guerville-Ballé , Miguel Marco Buzunariz

Optimal transport (OT) distances are finding evermore applications in machine learning and computer vision, but their wide spread use in larger-scale problems is impeded by their high computational cost. In this work we develop a family of…

Machine Learning · Statistics 2018-03-06 Brahim Khalil Abid , Robert M. Gower
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