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Formulating boundary value problems for multidimensional partial derivative equations in terms of invariant operators of vector (tensor) analysis is convenient. Computational algorithms for approximate solutions are based on constructing…

Numerical Analysis · Mathematics 2024-09-25 Petr N. Vabishchevich

Anisotropic mesh adaptation with Riemannian metrics has proven effective for generating straight-sided meshes with anisotropy induced by the geometry of interest and/or the resolved physics. Within the continuous mesh framework, anisotropic…

Numerical Analysis · Mathematics 2025-01-14 Arthur Bawin , André Garon , Jean-François Remacle

The isometric embedding problem for Riemannian manifolds, which connects intrinsic and extrinsic geometry, is a central question in differential geometry with deep theoretical significance and wide-ranging applications. Despite extensive…

Numerical Analysis · Mathematics 2026-02-24 Guangwei Gao , Kaibo Hu , Buyang Li , Ganghui Zhang

We provide a complete description of important geometric invariants of the Laplacian lattice of a multigraph under the distance function induced by a regular simplex, namely Voronoi Diagram, Delaunay Triangulation, Delaunay Polytope and its…

Combinatorics · Mathematics 2011-12-01 Madhusudan Manjunath

In this paper, we determine the topology of the spaces of convex polyhedra inscribed in the unit $2$-sphere and the spaces of strictly Delaunay geodesic triangulations of the unit $2$-sphere. These spaces can be regarded as discretized…

Geometric Topology · Mathematics 2023-05-31 Yanwen Luo , Tianqi Wu , Xiaoping Zhu

Every surface that is intrinsically polyhedral can be represented by a portalgon: a collection of polygons in the Euclidean plane with some pairs of equally long edges abstractly identified. While this representation is arguably simpler…

Computational Geometry · Computer Science 2026-03-26 Loïc Dubois

We introduce the Voronoi functional of a triangulation of a finite set of points in the Euclidean plane and prove that among all geometric triangulations of the point set, the Delaunay triangulation maximizes the functional. This result…

Metric Geometry · Mathematics 2017-05-25 Herbert Edelsbrunner , Alexey Glazyrin , Oleg R. Musin , Anton Nikitenko

Simplicial approximation provides a framework for constructing simplicial complexes that are homotopy equivalent to a given manifold, provided a CW structure is explicitly known. However, its conventional implementation quickly becomes…

Computational Geometry · Computer Science 2026-03-16 Raphaël Tinarrage

Cellular structures manifest their outstanding mechanical properties in many biological systems. One key challenge for designing and optimizing these geometrically complicated structures lies in devising an effective geometric…

In this paper a new connection between the discrete conformal geometry problem of disk pattern construction and the continuous conformal geometry problem of metric uniformization is presented. In a nutshell, we discuss how to construct disk…

Differential Geometry · Mathematics 2007-05-23 Gregory Leibon

The Voronoi diagram is a certain geometric data structure which has numerous applications in various scientific and technological fields. The theory of algorithms for computing 2D Euclidean Voronoi diagrams of point sites is rich and…

Computational Geometry · Computer Science 2023-07-17 Daniel Reem

Minimization diagrams encompass a large class of diagrams of interest in the literature, such as generalized Voronoi diagrams. We develop an abstract perturbation theory and perform a sensitivity analysis for functions depending on sets…

Optimization and Control · Mathematics 2023-04-28 Ernesto G. Birgin , Antoine Laurain , Tiago C. Menezes

We initiate a statistical study of Kalai's exterior algebraic shifting, focusing on concentration phenomena for random triangulations of a fixed space. First, for a uniform $n$-vertex refinement of any given graph $G$, we show that…

Combinatorics · Mathematics 2025-10-01 Denys Bulavka , Eran Nevo , Yuval Peled

A variational formulation for accelerated optimization on normed vector spaces was recently introduced in Wibisono et al., and later generalized to the Riemannian manifold setting in Duruisseaux and Leok. This variational framework was…

Numerical Analysis · Mathematics 2022-05-18 Valentin Duruisseaux , Melvin Leok

Delaunay triangulations of a point set in the Euclidean plane are ubiquitous in a number of computational sciences, including computational geometry. Delaunay triangulations are not well defined as soon as 4 or more points are concyclic but…

Computational Geometry · Computer Science 2018-04-05 Vincent Despré , Olivier Devillers , Hugo Parlier , Jean-Marc Schlenker

Shape spaces are fundamental in a variety of applications including image registration, morphing, matching, interpolation, and shape optimization. In this work, we consider two-dimensional shapes represented by triangular meshes of a given…

Numerical Analysis · Mathematics 2022-01-11 Roland Herzog , Estefanía Loayza-Romero

In this paper we define, implement, and investigate a simplicial complex construction for computing persistent homology of Euclidean point cloud data, which we call the Delaunay-Rips complex (DR). Assigning the Vietoris-Rips weights to…

Computation · Statistics 2023-03-03 Amish Mishra , Francis C. Motta

We describe conditions under which an appropriately-defined anisotropic Voronoi diagram of a set of sites in Euclidean space is guaranteed to be composed of connected cells in any number of dimensions. These conditions are natural for…

Computational Geometry · Computer Science 2011-02-18 Guillermo D. Canas , Steven J. Gortler

We consider geometric triangulations of surfaces, i.e., triangulations whose edges can be realized by disjoint locally geodesic segments. We prove that the flip graph of geometric triangulations with fixed vertices of a flat torus or a…

Computational Geometry · Computer Science 2019-12-11 Vincent Despré , Jean-Marc Schlenker , Monique Teillaud

Riemannian geometry provides the fundamental framework for optimization on nonlinear spaces such as matrix manifolds, which arise in machine learning, signal processing, and robotics. While the underlying theory is classical, existing…

Differential Geometry · Mathematics 2026-05-05 Benyamin Ghojogh