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An existing solvability result for relaxed one-sided Lipschitz algebraic inclusions is substantially improved. This enhanced solvability result allows the design of a very robust numerical method for the approximation of a solution of the…

Optimization and Control · Mathematics 2013-08-19 Wolf-Jürgen Beyn , Janosch Rieger

A detailed combinatorial analysis of planar convex lattice polygonal lines is presented. This makes it possible to answer an open question of Vershik regarding the existence of a limit shape when the number of vertices is constrained.

Probability · Mathematics 2016-06-17 Julien Bureaux , Nathanaël Enriquez

This paper studies Frobenius subalgebra posets in abelian monoidal categories and shows that, under general conditions--satisfied in all semisimple tensor categories over the complex field--they collapse to lattices through a rigidity…

Quantum Algebra · Mathematics 2025-10-27 Mainak Ghosh , Sebastien Palcoux

We study the inversion analog of the well-known Gauss algorithm for multiplying complex matrices. A simple version is $(A + iB)^{-1} = (A + BA^{-1}B)^{-1} - i A^{-1}B(A+BA^{-1} B)^{-1}$ when $A$ is invertible, which may be traced back to…

Numerical Analysis · Mathematics 2023-10-10 Zhen Dai , Lek-Heng Lim , Ke Ye

Detectability of failures of linear programming (LP) decoding and the potential for improvement by adding new constraints motivate the use of an adaptive approach in selecting the constraints for the underlying LP problem. In this paper, we…

Information Theory · Computer Science 2007-07-13 Mohammad H. Taghavi , Paul H. Siegel

A generalization of the max-plus transformation, which is known as a method to derive cellular automata from integrable equations, is proposed for complex numbers. Operation rules for this transformation is also studied for general number…

Exactly Solvable and Integrable Systems · Physics 2009-11-11 Tetsu Yajima , Keisuke Nakajima , Naruyoshi Asano

This paper considers the problem of iterative Bayesian smoothing in nonlinear state-space models with additive noise using Gaussian approximations. Iterative methods are known to improve smoothed estimates but are not guaranteed to…

Optimization and Control · Mathematics 2025-02-11 Jakob Lindqvist , Simo Särkkä , Ángel F. García-Fernández , Matti Raitoharju , Lennart Svensson

The focus in this work is on interior-point methods for inequality-constrained quadratic programs, and particularly on the system of nonlinear equations to be solved for each value of the barrier parameter. Newton iterations give high…

Optimization and Control · Mathematics 2024-01-24 David Ek , Anders Forsgren

We introduce a unified framework for computing approximately-optimal preconditioners for solving linear and non-linear systems of equations. We demonstrate that the condition number minimization problem, under structured transformations…

Optimization and Control · Mathematics 2025-12-09 M. Levent Doğan , Alperen Ergür , Elias Tsigaridas

An extended formulation of a polytope P is a polytope Q which can be projected onto P. Extended formulations of small size (i.e., number of facets) are of interest, as they allow to model corresponding optimization problems as linear…

Combinatorics · Mathematics 2012-07-10 Samuel Fiorini , Volker Kaibel , Kanstantsin Pashkovich , Dirk Oliver Theis

Let K be a finite field with q elements and let X be a subset of a projective space P^{s-1}, over the field K, which is parameterized by Laurent monomials. Let I(X) be the vanishing ideal of X. Some of the main contributions of this paper…

Commutative Algebra · Mathematics 2010-12-27 C. Renteria , A. Simis , R. H. Villarreal

We present a novel method for mixed-integer optimization problems with multivariate and Lipschitz continuous nonlinearities. In particular, we do not assume that the nonlinear constraints are explicitly given but that we can only evaluate…

Optimization and Control · Mathematics 2023-03-22 Julia Grübel , Richard Krug , Martin Schmidt , Winnifried Wollner

Structured Low-Rank Approximation is a problem arising in a wide range of applications in Numerical Analysis and Engineering Sciences. Given an input matrix $M$, the goal is to compute a matrix $M'$ of given rank $r$ in a linear or affine…

Numerical Analysis · Computer Science 2014-10-28 Éric Schost , Pierre-Jean Spaenlehauer

In this paper, we use various versions of Lov\'asz extension to systematically derive continuous formulations of problems from discrete mathematics. This will take place in the following context: (1) For combinatorial optimization problems…

Combinatorics · Mathematics 2023-05-16 Jürgen Jost , Dong Zhang

We consider the matrix completion problem under a form of row/column weighted entrywise sampling, including the case of uniform entrywise sampling as a special case. We analyze the associated random observation operator, and prove that with…

Information Theory · Computer Science 2011-05-17 Sahand Negahban , Martin J. Wainwright

We study the extended Frobenius problem for sequences of the form $\{f_a+f_n\}_{n\in\mathbb{N}}$, where $\{f_n\}_{n\in\mathbb{N}}$ is the Fibonacci sequence and $f_a$ is a Fibonacci number. As a consequence, we show that the family of…

Number Theory · Mathematics 2023-05-29 Aureliano M. Robles-Pérez , José Carlos Rosales

This paper studies a class of double-loop (inner-outer) algorithms for convex composite optimization. For unconstrained problems, we develop a restarted accelerated composite gradient method that attains the optimal first-order complexity…

Optimization and Control · Mathematics 2026-02-23 Matthew X. Burns , Jiaming Liang

This article presents an arithmetic, called superposition relaxation, for bracketing the graph of a multivariate factorable function on a compact domain between a pair of underestimating and overestimating functions that are both separable.…

Numerical Analysis · Mathematics 2026-05-12 Yanlin Zha , Mario Eduardo Villanueva , Boris Houska , Benoît Chachuat

In this article we investigate a finite element formulation of strongly monotone quasi-linear elliptic PDEs in the context of fixed-point iterations. As opposed to Newton's method, which requires information from the previous iteration in…

Numerical Analysis · Mathematics 2015-07-01 Scott Congreve , Thomas P. Wihler

We prove upper bounds on the order of convergence of lattice based algorithms for numerical integration in function spaces of dominating mixed smoothness on the unit cube with homogeneous boundary condition. More precisely, we study…

Numerical Analysis · Mathematics 2019-08-15 Josef Dick , Friedrich Pillichshammer , Kosuke Suzuki , Mario Ullrich , Takehito Yoshiki