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The degrees of polynomials representing or approximating Boolean functions are a prominent tool in various branches of complexity theory. Sherstov recently characterized the minimal degree deg_{\eps}(f) among all polynomials (over the…

Quantum Physics · Physics 2008-02-15 Ronald de Wolf

Algorithms for the computation of the forward and inverse geodesic problems for an ellipsoid of revolution are derived. These are accurate to better than 15 nm when applied to the terrestrial ellipsoids. The solutions of other problems…

Geophysics · Physics 2015-03-18 Charles F. F. Karney

$f,g_1,...,g_m$ be elements of the polynomial ring $\mathbb{R}[x_1,...,x_n]$. The paper deals with the general problem of computing a lower bound for $f$ on the subset of $\mathbb{R}^n$ defined by the inequalities $g_i\ge 0$, $i=1,...,m$.…

Optimization and Control · Mathematics 2015-03-24 Mehdi Ghasemi , Murray Marshall

Numerical computation of shortest paths or geodesics on curved domains, as well as the associated geodesic distance, arises in a broad range of applications across digital geometry processing, scientific computing, computer graphics, and…

Graphics · Computer Science 2020-07-22 Keenan Crane , Marco Livesu , Enrico Puppo , Yipeng Qin

We derive computable error estimates for finite element approximations of linear elliptic partial differential equations (PDE) with rough stochastic coefficients. In this setting, the exact solutions contain high frequency content that…

Numerical Analysis · Mathematics 2018-09-18 Eric Joseph Hall , Håkon Hoel , Mattias Sandberg , Anders Szepessy , Raúl Tempone

We study the question of approximating a compact geodesic metric space by metric graphs satisfying a uniform upper bound on their first Betti number. We prove that, up to a suitable multiplicative constant, Reeb graphs of distance functions…

Metric Geometry · Mathematics 2023-10-27 Facundo Memoli , Osman Berat Okutan , Qingsong Wang

In this paper, we study the computational complexity of finding the \emph{geodetic number} of graphs. A set of vertices $S$ of a graph $G$ is a \emph{geodetic set} if any vertex of $G$ lies in some shortest path between some pair of…

Discrete Mathematics · Computer Science 2020-12-08 Dibyayan Chakraborty , Florent Foucaud , Harmender Gahlawat , Subir Kumar Ghosh , Bodhayan Roy

Many geometric machine learning and image analysis applications, require a left-invariant metric on the 5D homogeneous space of 3D positions and orientations SE(3)/SO(2). This is done in Equivariant Neural Networks (G-CNNs), or in PDE-Based…

Differential Geometry · Mathematics 2025-10-03 Remco Duits , Gijs Bellaard , Barbara Tumpach

In this article, we propose a geometric programming method in order to compute lower bounds for real polynomials. We provide new sufficient conditions for polynomials to be nonnegative as well as to have a sum of binomial squares…

Optimization and Control · Mathematics 2016-02-26 Sadik Iliman , Timo de Wolff

Let $f$ be a polynomial in $n$ variables $x_1,\dots,x_n$ with real coefficients. In [Ghasemi-Marshal], Ghasemi and Marshall give an algorithm, based on geometric programming, which computes a lower bound for $f$ on $\mathbb{R}^n$. In…

Optimization and Control · Mathematics 2025-10-06 Mehdi Ghasemi , Murray Marshall

We introduce a subexponential algorithm for geometric solving of multivariate polynomial equation systems whose bit complexity depends mainly on intrinsic geometric invariants of the solution set. From this algorithm, we derive a new…

alg-geom · Mathematics 2008-02-03 M. Giusti , J. Heintz , K. Hägele , J. E. Morais , L. M. Pardo , J. L. Montaña

This paper presents two new direct symbolic-numerical algorithms for the transformation of Cartesian coordinates into geodetic coordinates considering the general case of a triaxial reference ellipsoid. The problem in both algorithms is…

Numerical Analysis · Mathematics 2020-08-26 Gema M. Diaz-Toca , Leandro Marin , Ioana Necula

Latent manifolds of autoencoders provide low-dimensional representations of data, which can be studied from a geometric perspective. We propose to describe these latent manifolds as implicit submanifolds of some ambient latent space. Based…

Machine Learning · Computer Science 2026-01-30 Florine Hartwig , Josua Sassen , Juliane Braunsmann , Martin Rumpf , Benedikt Wirth

It has been shown numerically that the performance of the Levenberg-Marquardt algorithm can be improved by including a second order correction known as the geodesic acceleration. In this paper we give the method a more sound theoretical…

Optimization and Control · Mathematics 2012-07-23 Mark K. Transtrum , James P. Sethna

A comprehensive listing of over 230 references related to Cartesian to geodetic coordinate transformations are provided. The references are coarsely sorted and DOI:s or URL:s are provided to the extent possible to facilitate studies of the…

Geophysics · Physics 2024-07-10 John-Olof Nilsson

Graph theoretical problems based on shortest paths are at the core of research due to their theoretical importance and applicability. This paper deals with the geodetic number which is a global measure for simple connected graphs and it…

Data Structures and Algorithms · Computer Science 2020-11-24 Ahmad T. Anaqreh , Boglarka G. -Toth , Tamas Vinko

We extend the method of Ghasemi and Marshall [SIAM. J. Opt. 22(2) (2012), pp 460-473], to obtain a lower bound $f_{{\rm gp},M}$ for a multivariate polynomial $f(x) \in \mathbb{R}[x]$ of degree $ \le 2d$ in $n$ variables $x = (x_1,...,x_n)$…

Optimization and Control · Mathematics 2013-12-16 Mehdi Ghasemi , Jean Bernard Lasserre , Murray Marshall

We present a new algorithm for reconstructing an exact algebraic number from its approximate value using an improved parameterized integer relation construction method. Our result is consistent with the existence of error controlling on…

Computational Complexity · Computer Science 2009-02-06 Xiaolin Qin , Yong Feng , Jingwei Chen , Jingzhong Zhang

This paper presents the first polynomial time algorithm to compute geodesics in a CAT(0) cubical complex in general dimension. The algorithm is a simple iterative method to update breakpoints of a path joining two points using Miller, Owen…

Computational Geometry · Computer Science 2018-07-02 Koyo Hayashi

Foundational machine-learned interatomic potentials have emerged as powerful tools for atomistic simulations, promising near first-principles accuracy across diverse chemical spaces at a fraction of the cost of quantum-mechanical…

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