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The explicit semiclassical treatment of logarithmic perturbation theory for the nonrelativistic bound states problem is developed. Based upon $\hbar$-expansions and suitable quantization conditions a new procedure for deriving perturbation…

Quantum Physics · Physics 2008-11-26 I. V. Dobrovolska , R. S. Tutik

In this paper we provide an approximation \`a la Ambrosio-Tortorelli of some classical minimization problems involving the length of an unknown one-dimensional set, with an additional connectedness constraint, in dimension two. We introduce…

Metric Geometry · Mathematics 2014-03-13 Matthieu Bonnivard , Antoine Lemenant , Filippo Santambrogio

The complexity of Pareto fronts imposes a great challenge on the convergence analysis of multi-objective optimization methods. While most theoretical convergence studies have addressed finite-set and/or discrete problems, others have…

Optimization and Control · Mathematics 2018-05-16 Abdullah Al-Dujaili , S. Suresh

We investigate the existence and local uniqueness of normalized $k$-peak solutions for the fractional Schr\"odinger equations with attractive interactions with a class of degenerated trapping potential with non-isolated critical points.…

Analysis of PDEs · Mathematics 2021-05-06 Qing Guo , Peng Luo , Chunhua Wang , Jing Yang

In this work we analyze a class of nonlinear fractional elliptic systems involving Hardy--type potentials and coupled by critical Hardy-Sobolev--type nonlinearities in $\mathbb{R}^N$. Due to the lack of compactness at the critical exponent…

Analysis of PDEs · Mathematics 2023-06-22 Alejandro Ortega

Using standard tools of harmonic analysis, we state and solve the problem of moments for non-negative measures supported on the unit ball of a Sobolev space of multivariate periodic trigonometric functions. We describe outer and inner…

Optimization and Control · Mathematics 2025-07-08 Didier Henrion , Alessandro Rudi

In this paper we study the Cauchy problem associated to the Maxwell-Schr\"odinger system with a defocusing pure-power non-linearity. This system has many applications in physics, for instance in the description of a charged non-relativistic…

Analysis of PDEs · Mathematics 2021-07-06 Paolo Antonelli , Pierangelo Marcati , Raffaele Scandone

We consider multiple orthogonal polynomials with respect to Nikishin systems generated by two measures $(\sigma_1, \sigma_2)$ with unbounded supports ($\mbox{supp} \, \sigma_1 \subseteq \mathbb{R}_+$, $\mbox{supp} \, \sigma_2 \subseteq…

Complex Variables · Mathematics 2017-03-24 A. I. Aptekarev , G. López Lagomasino , A. Mártinez-Finkelshtein

In this paper we develop an optimisation based approach to multivariate Chebyshev approximation on a finite grid. We consider two models: multivariate polynomial approximation and multivariate generalised rational approximation. In the…

Optimization and Control · Mathematics 2025-01-30 R. Díaz Millán , V. Peiris , N. Sukhorukova , J. Ugon

The paper deals with existence and multiplicity of solutions of the fractional Schr\"{o}dinger--Kirchhoff equation involving an external magnetic potential. As a consequence, the results can be applied to the special case \begin{equation*}…

Analysis of PDEs · Mathematics 2016-05-19 Xiang Mingqi , Patrizia Pucci , Marco Squassina , Binlin Zhang

This article provides numerical evidence that under volume constraint the ball is the set which maximizes the perimeter of the least-perimeter partition into cells with prescribed areas. We introduce a numerical maximization algorithm which…

Optimization and Control · Mathematics 2021-06-08 Beniamin Bogosel , Edouard Oudet

The paper deals with finite-state Markov decision processes (MDPs) with integer weights assigned to each state-action pair. New algorithms are presented to classify end components according to their limiting behavior with respect to the…

Logic in Computer Science · Computer Science 2018-05-01 Christel Baier , Nathalie Bertrand , Clemens Dubslaff , Daniel Gburek , Ocan Sankur

In this paper, a new deep-learning architecture for solving the non-linear Falkner-Skan equation is proposed. Using Legendre and Chebyshev neural blocks, this approach shows how orthogonal polynomials can be used in neural networks to…

Machine Learning · Computer Science 2023-08-08 Alireza Afzal Aghaei , Kourosh Parand , Ali Nikkhah , Shakila Jaberi

Reallocation scheduling is one of the most fundamental problems in various areas such as supply chain management, logistics, and transportation science. In this paper, we introduce the reallocation problem that models the scheduling in…

Data Structures and Algorithms · Computer Science 2021-11-05 Toshimasa Ishii , Jun Kawahara , Kazuhisa Makino , Hirotaka Ono

The aims of this article are two-fold. First, we give a geometric characterization of the optimal basic solutions of the general linear programming problem (no compactness assumptions) and provide a simple, self-contained proof of it…

Optimization and Control · Mathematics 2018-04-27 Anna Denkowska , Maciej Denkowski , Marta Kornafel

The theory of Chebyshev (uniform) approximation for univariate polynomial and piecewise polynomial functions has been studied for decades. The optimality conditions are based on the notion of alternating sequence. However, the extension the…

Numerical Analysis · Mathematics 2017-09-01 Nadezda Sukhorukova , Julien Ugon , David Yost

We propose a new approach to studying classical solutions of the Bellman equation and Master equation for mean field type control problems, using a novel form of the "lifting" idea introduced by P.-L. Lions. Rather than studying the usual…

Probability · Mathematics 2023-05-10 Alain Bensoussan , P. Jameson Graber , Sheung Chi Phillip Yam

We consider the Cauchy problem for the Zakharov-Kuznetsov equation in the cylinder. We improve the local wellposedness to spaces of regularity $s > 1/2$. The result is optimal in terms of the corresponding bilinear estimate or Picard…

Analysis of PDEs · Mathematics 2025-02-05 Gonzalo Cao-Labora

Recent LLM-driven discoveries have renewed interest in geometric packing problems. In this paper, we study several classes of such packing problems through the lens of modern global nonlinear optimization. Starting from comparatively direct…

Optimization and Control · Mathematics 2026-05-07 Timo Berthold , Dominik Kamp , Gioni Mexi , Sebastian Pokutta , Imre Polik

In the numerical treatment of large-scale Sylvester and Lyapunov equations, projection methods require solving a reduced problem to check convergence. As the approximation space expands, this solution takes an increasing portion of the…

Numerical Analysis · Mathematics 2017-02-03 Davide Palitta , Valeria Simoncini