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We propose a variant of the classical augmented Lagrangian method for constrained optimization problems in Banach spaces. Our theoretical framework does not require any convexity or second-order assumptions and allows the treatment of…

Optimization and Control · Mathematics 2018-07-13 Christian Kanzow , Daniel Steck , Daniel Wachsmuth

The use of average kernel method based on the Laplace transformation can significantly simplify the procedure for obtaining approximate analytical solution of Smoluchowski equation. However, this method also has its own shortcomings, one of…

Computational Engineering, Finance, and Science · Computer Science 2025-03-11 Kejun Pan , Mingliang Xie

In this paper, we study infinite-dimensional Lagrangian systems where the potential functions are periodic, rearrangement invariant and weakly upper semicontinuous. And we prove that there exists a calibrated curve for every $M\in…

Dynamical Systems · Mathematics 2016-09-28 Guanghua Shi , Cheng Yang

This paper presents a regularization technique for the high order efficient numerical evaluation of nearly singular, principal-value, and finite-part Cauchy-type integral operators. By relying on the Cauchy formula, the Cauchy-Goursat…

Numerical Analysis · Mathematics 2021-03-02 Vicente Gómez , Carlos Pérez-Arancibia

We develop a unified theory of augmented Lagrangians for nonconvex optimization problems that encompasses both duality theory and convergence analysis of primal-dual augmented Lagrangian methods in the infinite dimensional setting. Our goal…

Optimization and Control · Mathematics 2025-09-09 M. V. Dolgopolik

Quadratic systems generated using Yang-Baxter equations are integrable in a sense, but we display a deterioration in the possession of the Painlev\'e property as the number of equations in each `integrable system' increases. Certain…

Exactly Solvable and Integrable Systems · Physics 2017-02-08 Peter Leach , Spiros Cotsakis , George P. Flessas

This paper explores the potential of Lagrangian duality for learning applications that feature complex constraints. Such constraints arise in many science and engineering domains, where the task amounts to learning optimization problems…

Machine Learning · Computer Science 2020-04-07 Ferdinando Fioretto , Pascal Van Hentenryck , Terrence WK Mak , Cuong Tran , Federico Baldo , Michele Lombardi

A generalization of the Laplace transform based on the generalized Tsallis $q$-exponential is given in the present work for a new type of kernel. We also define the inverse transform for this generalized transform based on the complex…

In this paper we analyze the existence, uniqueness and regularity of the solution to the generalized, variable diffusivity, fractional Laplace equation on the unit disk in $\mathbb{R}^{2}$. For $\alpha$ the order of the differential…

Analysis of PDEs · Mathematics 2024-05-07 V. J. Ervin

In calculating expected information gain in optimal Bayesian experimental design, the computation of the inner loop in the classical double-loop Monte Carlo requires a large number of samples and suffers from underflow if the number of…

Numerical Analysis · Mathematics 2018-04-04 Joakim Beck , Ben Mansour Dia , Luis FR Espath , Quan Long , Raul Tempone

A computational scheme for solving 2D Laplace boundary-value problems using rational functions as the basis functions is described. The scheme belongs to the class of desingularized methods, for which the location of singularities and…

Mathematical Physics · Physics 2012-07-02 Amit Hochman , Yehuda Leviatan , Jacob K. White

In this paper we investigate overdetermined systems of scalar PDEs on the plane with one common characteristic, whose general solution depends on 1 function of 1 variable. We describe linearization of such systems and their integration via…

Analysis of PDEs · Mathematics 2015-05-30 Boris Kruglikov

Optimization problems with convex quadratic cost and polyhedral constraints are ubiquitous in signal processing, automatic control and decision-making. We consider here an enlarged problem class that allows to encode logical conditions and…

Optimization and Control · Mathematics 2026-04-09 Alberto De Marchi

Suppose that Y(t) is a d-dimensional Levy symmetric process for which its Levy measure differs from the Levy measure of the isotropic alpha-stable process (0<alpha<2) by a finite signed measure. For a bounded Lipschitz set D we compare the…

Probability · Mathematics 2011-07-06 Tomasz Grzywny , Michał Ryznar

Recently, it was found that a new set of simple techniques allow one to conveniently express ordinary integrals through differentiation. These techniques add to the general toolbox for integration and integral transforms such as the Fourier…

Mathematical Physics · Physics 2015-07-17 Achim Kempf , David M. Jackson , Alejandro H. Morales

We work in the category $\mathcal{CLM}^u_k$ of [5] of separated complete bounded $k$-linearly topologized modules over a complete linearly topologized ring $k$ and discuss duality on certain exact subcategories. We study topological and…

Number Theory · Mathematics 2025-03-13 Francesco Baldassarri

We discuss the notion of reduction of a special type of explicit solutions which generalize the solutions appearing in the classical Laplace cascade method of integration of hyperbolic equations of the second order in the plane. We give…

Exactly Solvable and Integrable Systems · Physics 2009-10-02 E. I. Ganzha

The Laplace equation in three dimensional Euclidean space is $R$-separable in bi-cyclide coordinates leading to harmonic functions expressed in terms of Lam\'e-Wangerin functions called internal and external bi-cyclide harmonics. An…

Classical Analysis and ODEs · Mathematics 2023-08-02 Brandon Alexander , Howard S. Cohl , Hans Volkmer

We propose and analyse randomized cubature formulae for the numerical integration of functions with respect to a given probability measure $\mu$ defined on a domain $\Gamma \subseteq \mathbb{R}^d$, in any dimension $d$. Each cubature…

Numerical Analysis · Mathematics 2020-12-04 Giovanni Migliorati , Fabio Nobile

Optimization is a critical tool for addressing a broad range of human and technical problems. However, the paradox of advanced optimization techniques is that they have maximum utility for problems in which the relationship between the…

Computational Engineering, Finance, and Science · Computer Science 2024-03-04 Hazhir Aliahmadi , Ruben Perez , Greg van Anders