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Recent results from real algebraic geometry and the theory of polynomial optimization are related in a new framework to the existence question of multivariate tight wavelet frames whose generators have at least one vanishing moment. Namely,…

Functional Analysis · Mathematics 2012-07-10 Maria Charina , Mihai Putinar , Claus Scheiderer , Joachim Stoeckler

We study the complexity of computing the VC Dimension and Littlestone's Dimension. Given an explicit description of a finite universe and a concept class (a binary matrix whose $(x,C)$-th entry is $1$ iff element $x$ belongs to concept…

Computational Complexity · Computer Science 2017-05-29 Pasin Manurangsi , Aviad Rubinstein

We prove a limit theorem for quantum stochastic differential equations with unbounded coefficients which extends the Trotter-Kato theorem for contraction semigroups. From this theorem, general results on the convergence of approximations…

Mathematical Physics · Physics 2008-05-08 Luc Bouten , Ramon van Handel , Andrew Silberfarb

Order types are a well known abstraction of combinatorial properties of a point set. By Mn\"ev's universality theorem for each semi-algebraic set $V$ there is an order type with a realization space that is \emph{stably equivalent} to $V$.…

Computational Geometry · Computer Science 2018-01-19 Udo Hoffmann , Keno Merckx

The algorithm and complexity of approximating the permanent of a matrix is an extensively studied topic. Recently, its connection with quantum supremacy and more specifically BosonSampling draws special attention to the average-case…

Data Structures and Algorithms · Computer Science 2019-12-02 Zhengfeng Ji , Zhihan Jin , Pinyan Lu

First, we study geometric variants of the standard set cover motivated by assignment of directional antenna and shipping with deadlines, providing the first known polynomial-time exact solutions. Next, we consider the following general…

Computational Complexity · Computer Science 2009-09-30 Piotr Berman , Marek Karpinski , Andrzej Lingas

On the forefront of scientific computing, Deep Learning (DL), i.e., machine learning with Deep Neural Networks (DNNs), has emerged a powerful new tool for solving Partial Differential Equations (PDEs). It has been observed that DNNs are…

Machine Learning · Computer Science 2025-11-12 Simone Brugiapaglia , Nick Dexter , Samir Karam , Weiqi Wang

In this paper, we propose a general framework to design {efficient} polynomial time approximation schemes (EPTAS) for fundamental stochastic combinatorial optimization problems. Given an error parameter $\epsilon>0$, such algorithmic…

Data Structures and Algorithms · Computer Science 2025-05-30 Danny Segev , Sahil Singla

The dynamics of physical theories is usually described by differential equations. Difference equations then appear mainly as an approximation which can be used for a numerical analysis. As such, they have to fulfill certain conditions to…

General Relativity and Quantum Cosmology · Physics 2009-11-10 Martin Bojowald , Ghanashyam Date

The correlations arising from sequential measurements on a single quantum system form a polytope. This is defined by the arrow-of-time (AoT) constraints, meaning that future choices of measurement settings cannot influence past outcomes. We…

Quantum Physics · Physics 2020-10-23 Cornelia Spee , Costantino Budroni , Otfried Gühne

$ \newcommand{\eps}{\epsilon} \newcommand{\NP}{\mathsf{NP}} \newcommand{\YES}{\mathsf{YES}} \newcommand{\NO}{\mathsf{NO}} \newcommand{\myminus}{\text{-}}\newcommand{\Bsat}{{\mathsf{B}}} \newcommand{\threesat}{\rm{3}\myminus\mathsf{SAT}}…

Computational Complexity · Computer Science 2018-06-12 Ishay Haviv , Oded Regev , Amnon Ta-Shma

Many existing algorithms for model checking of infinite-state systems operate on constraints which are used to represent (potentially infinite) sets of states. A general powerful technique which can be employed for proving termination of…

Logic in Computer Science · Computer Science 2007-05-23 Parosh Aziz Abdulla , Aletta Nylen

Matrix rank minimization problems are gaining a plenty of recent attention in both mathematical and engineering fields. This class of problems, arising in various and across-discipline applications, is known to be NP-hard in general. In…

Optimization and Control · Mathematics 2010-10-06 Yun-Bin Zhao

In this work, we extend the Spatiotemporal Tube (STT) framework to address Probabilistic Temporal Reach-Avoid-Stay (PrT-RAS) tasks in dynamic environments with uncertain obstacles. We develop a real-time tube synthesis procedure that…

Robotics · Computer Science 2025-12-29 Siddhartha Upadhyay , Ratnangshu Das , Pushpak Jagtap

An approximate Steiner tree is a Steiner tree on a given set of terminals in Euclidean space such that the angles at the Steiner points are within a specified error e from 120 degrees.This notion arises in numerical approximations of…

Metric Geometry · Mathematics 2020-02-25 Charl Ras , Konrad J. Swanepoel , Doreen Thomas

The notion of positive realness for linear time-invariant (LTI) dynamical systems, equivalent to passivity, is one of the oldest in system and control theory. In this paper, we consider the problem of finding the nearest positive-real (PR)…

Optimization and Control · Mathematics 2018-04-19 Nicolas Gillis , Punit Sharma

This paper reviews the Einstein Cartan theory (ECT), the famous extension of general relativity (GR) in presence of spacetime torsion. The vacuum equations are derived step by step. Vielbein formulation is discussed for determining the…

High Energy Physics - Theory · Physics 2020-09-16 Richa Kapoor

The probability that a zero of a random real polynomial of increasing degree is real tends to zero. However, passing from polynomials to Laurent polynomials yields a surprising result: the probability that a root is real tends not to zero,…

Algebraic Geometry · Mathematics 2025-09-03 Boris Kazarnovskii

Rewriting Induction (RI) is a principle to prove that an equation over terms is an inductive theorem of a rewrite system, i.e., that any ground instance of the equation is a theorem of the rewrite system. RI has been adapted to several…

Logic in Computer Science · Computer Science 2026-02-17 Naoki Nishida , Kazushi Nishie , Misaki Kojima

We propose a classical, i.e., local-real physical model of processes underlying EPR experiments. The model leads to the prediction, that the visibility of the output signal will exhibit increasing variation as the coincidence window is…

Quantum Physics · Physics 2015-05-13 A. F. Kracklauer
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