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Cylindrical algebraic decomposition (CAD) is an important tool for working with polynomial systems, particularly quantifier elimination. However, it has complexity doubly exponential in the number of variables. The base algorithm can be…

Symbolic Computation · Computer Science 2016-10-03 Matthew England , James H. Davenport

This paper presents a new algorithm for set-based state estimation of nonlinear discrete-time systems with bounded uncertainties. The novel method builds upon essential properties and computational advantages of constrained zonotopes (CZs)…

Systems and Control · Electrical Eng. & Systems 2025-04-02 Brenner S. Rego , Guilherme V. Raffo , Marco H. Terra , Joseph K. Scott

Change point detection (CPD) methods aim to identify abrupt shifts in the distribution of input data streams. Accurate estimators for this task are crucial across various real-world scenarios. Yet, traditional unsupervised CPD techniques…

Machine Learning · Computer Science 2024-12-04 Alexandra Bazarova , Evgenia Romanenkova , Alexey Zaytsev

In this paper we present a full discretization of the layer potentials and boundary integral operators for the elastic wave equation on a parametrizable smooth closed curve in the plane. The method can be understood as a non-conforming…

Numerical Analysis · Mathematics 2025-07-08 Victor Dominguez , Tonatiuh Sanchez-Vizuet , Francisco-Javier Sayas

We present a polyhedral algorithm to manipulate positive dimensional solution sets. Using facet normals to Newton polytopes as pretropisms, we focus on the first two terms of a Puiseux series expansion. The leading powers of the series are…

Numerical Analysis · Mathematics 2013-06-13 Danko Adrovic , Jan Verschelde

This paper proposes a new cubical space model for the representation of continuous objects and surfaces in the n-dimensional Euclidean space by discrete sets of points. The cubical space model concerns the process of converting a continuous…

Discrete Mathematics · Computer Science 2015-06-10 Alexander V. Evako

We consider a non-polynomial cubic spline to develop the classes of methods for the numerical solution of singularly perturbed two-point boundary value problems. The proposed methods are second and fourth order accurate and applicable to…

Numerical Analysis · Mathematics 2012-06-13 Islam Khan , Tariq Aziz

The training of two-layer neural networks with nonlinear activation functions is an important non-convex optimization problem with numerous applications and promising performance in layerwise deep learning. In this paper, we develop exact…

Machine Learning · Computer Science 2021-01-11 Burak Bartan , Mert Pilanci

We propose a new curl-free and thermodynamically compatible finite volume scheme on Voronoi grids to solve compressible heat conducting flows written in first-order hyperbolic form. The approach is based on the definition of compatible…

Numerical Analysis · Mathematics 2025-09-03 Walter Boscheri , Firas Dhaouadi

This paper develops a modification of the dressing method based on the inhomogeneous linear integral equation with integral operator having nonempty kernel. Method allows one to construct the systems of multidimensional Partial Differential…

Exactly Solvable and Integrable Systems · Physics 2009-11-11 A. I. Zenchuk

The theory of a spinor field interacting with a pure Chern-Simons gauge field in 2+1 dimensions is quantized. Dynamical and nondynamical variables are separated in a gauge-independent way. After the nondynamical variables are dropped, this…

High Energy Physics - Theory · Physics 2018-01-17 Qiong-gui Lin

Convex polyhedra are the basis for several abstractions used in static analysis and computer-aided verification of complex and sometimes mission critical systems. For such applications, the identification of an appropriate…

Computational Geometry · Computer Science 2009-09-29 Roberto Bagnara , Patricia M. Hill , Enea Zaffanella

We present two new quantum algorithms for reaction-diffusion equations that employ the truncated Chebyshev polynomial approximation. This method is employed to numerically solve the ordinary differential equation emerging from the…

Quantum Physics · Physics 2025-10-24 Manish Kumar

Recovering the image of an object from its phaseless speckle pattern is difficult. Let alone the transmission matrix is unknown in multiple scattering media imaging. Double phase retrieval is a recently proposed efficient method which…

Signal Processing · Electrical Eng. & Systems 2018-06-27 Ziyang Yuan , Hongxia Wang

In this paper we introduce the n-dimensional hypersurface quantum volume operator by using the n-dimensional holonomy variation formula. Instead of trying to construct the n-dimensional hypersurface volume operator by using the n-1…

General Relativity and Quantum Cosmology · Physics 2018-06-26 Leonid Perlov

We present a novel implicit representation -- neural halfspace representation (NH-Rep), to convert manifold B-Rep solids to implicit representations. NH-Rep is a Boolean tree built on a set of implicit functions represented by the neural…

Graphics · Computer Science 2022-09-22 Hao-Xiang Guo , Yang Liu , Hao Pan , Baining Guo

We consider the problem of translating between irreducible closed sets and implicational bases in closure systems. To date, the complexity status of this problem is widely open, and it is further known to generalize the notorious hypergraph…

Data Structures and Algorithms · Computer Science 2025-11-04 Oscar Defrain , Arthur Ohana , Simon Vilmin

The second-order cone linear complementarity problem (SOCLCP) is a generalization of the classical linear complementarity problem. It has been known that SOCLCP, with the globally uniquely solvable property, is essentially equivalent to a…

Numerical Analysis · Mathematics 2020-11-18 Yiding Lin , Xiang Wang , Leihong Zhang

Analytic expressions for the Fourier transforms of the Chebyshev and Legendre polynomials are derived, and the latter is used to find a new representation for the half-order Bessel functions. The numerical implementation of the so-called…

Numerical Analysis · Mathematics 2012-11-22 A. S. Fokas , S. A. Smitheman

We study the multi-dimensional properties of neutrino transfer inside supernova cores by solving the Boltzmann equations for neutrino distribution functions in genuinely six dimensional (6D) phase space. Adopting representative snapshots of…

High Energy Astrophysical Phenomena · Physics 2014-12-30 K. Sumiyoshi , T. Takiwaki , H. Matsufuru , S. Yamada