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We study linear inverse problems under the premise that the forward operator is not at hand but given indirectly through some input-output training pairs. We demonstrate that regularization by projection and variational regularization can…

Numerical Analysis · Mathematics 2020-12-30 Andrea Aspri , Yury Korolev , Otmar Scherzer

The saddle point approximation of the path integral partition functions is an important way of deriving the thermodynamical properties of black holes. However, there are certain black hole models and some mathematically analog mechanical…

General Relativity and Quantum Cosmology · Physics 2015-11-11 Hugo A. Morales-Técotl , Daniel H. Orozco-Borunda , Saeed Rastgoo

We introduce a novel regularization framework for the two-dimensional incompressible Euler equation that exactly preserves the transport structure of multi-phase vorticity fields. The key step is a reformulation of multi-phase vortex patch…

Analysis of PDEs · Mathematics 2026-02-03 Trinh T. Nguyen

We study polynomials with no zeros on the unit ball in complex Euclidean space with a view toward characterizing when a rational function is bounded on the ball. We give a complete local description of such polynomials in two variables near…

Complex Variables · Mathematics 2026-02-25 Greg Knese , James Eldred Pascoe , Alan Sola

We investigate existence, Liouville type theorems and regularity results for the 3D stationary and incompressible fractional Navier-Stokes equations: in this setting the usual Laplacian is replaced by its fractional power…

Analysis of PDEs · Mathematics 2023-01-30 Diego Chamorro , Bruno Poggi

We study the effect of center-of-mass motion and rotational corrections on hedgehog meson fields in the bosonized two-flavor Nambu \& Jona-Lasinio model. To remove the spurious motion and to restore good spin and isospin we consider a…

Nuclear Theory · Physics 2008-02-03 M. Schleif , R. Wuensch

Anomalies are a powerful way to gain insight into possible lattice regularizations of a quantum field theory. In this work, we argue that the continuum anomaly for a given symmetry can be matched by a manifestly-symmetric, local, lattice…

High Energy Physics - Lattice · Physics 2023-01-25 Mendel Nguyen , Hersh Singh

We extend the adiabatic regularization method to spin-1/2 fields. The ansatz for the adiabatic expansion for fermionic modes differs significantly from the WKB-type template that works for scalar modes. We give explicit expressions for the…

General Relativity and Quantum Cosmology · Physics 2015-06-16 Aitor Landete , Jose Navarro-Salas , Francisco Torrenti

Satisfaction of the strict saddle property has become a standard assumption in non-convex optimization, and it ensures that many first-order optimization algorithms will almost always escape saddle points. However, functions exist in…

Optimization and Control · Mathematics 2022-08-23 Matthew Ubl , Kasra Yazdani , Matthew T. Hale

Semiclassical asymptotics for linear Schr\"odinger equations with non-smooth potentials give rise to ill-posed formal semiclassical limits. These problems have attracted a lot of attention in the last few years, as a proxy for the treatment…

Analysis of PDEs · Mathematics 2015-04-01 Agissilaos Athanassoulis , Theodoros Katsaounis , Irene Kyza

Recently the authors have studied a state and control constrained optimal control problem with fractional elliptic PDE as constraints. The goal of this paper is to continue that program forward and introduce an algorithm to solve such…

Optimization and Control · Mathematics 2019-12-12 Harbir Antil , Thomas S. Brown , Deepanshu Verma

This paper presents a novel feedback method on the motion planning for unicycle robots in environments with static obstacles, along with an extension to the distributed planning and coordination in multi-robot systems. The method employs a…

Robotics · Computer Science 2014-10-22 Dimitra Panagou

The incorporation of two- and three-dimensional $\delta$-function perturbations into the path-integral formalism is discussed. In contrast to the one-dimensional case, a regularization procedure is needed due to the divergence of the…

High Energy Physics - Theory · Physics 2009-10-22 Christian Grosche

An unsteady problem is considered for a space-fractional equation in a bounded domain. A first-order evolutionary equation involves the square root of an elliptic operator of second order. Finite element approximation in space is employed.…

Numerical Analysis · Mathematics 2015-10-29 Petr N. Vabishchevich

Recently, Duncan and Mawhinney introduced a method to find saddle points of the action in simulations of non-abelian lattice gauge theory. The idea, called `extremization', is to minimize $\int(\delta S/\delta A_\mu)^2$ instead of the…

High Energy Physics - Lattice · Physics 2016-08-31 A. J. van der Sijs

The Nambu-Jona-Lasinio (NJL) model has been widely studied for investigating the chiral phase structure of strongly interacting matter. The study of the thermodynamics of field theories within the framework of Lattice Field Theory is…

High Energy Physics - Phenomenology · Physics 2022-12-06 Alexander M. Czajka , Zhong-Bo Kang , Henry Ma , Fanyi Zhao

Image registration is an inherently ill-posed problem that lacks the constraints needed for a unique mapping between voxels of the two images being registered. As such, one must regularize the registration to achieve physically meaningful…

Numerical Analysis · Mathematics 2025-02-03 Keyur D. Shah , James A. Shackleford , Nagarajan Kandasamy , Gregory C. Sharp

We investigate partial regularity for vector valued local minimizers of double phase functionals, under vectorial obstacle type constraints satisfying appropriate topological properties.

Analysis of PDEs · Mathematics 2025-08-15 Filomena De Filippis , Antonella Nastasi , Cintia Pacchiano Camacho

The spatial discretization of the magnetic vector potential formulation of magnetoquasistatic field problems results in an infinitely stiff differential-algebraic equation system. It is transformed into a finitely stiff ordinary…

Computational Engineering, Finance, and Science · Computer Science 2017-09-22 Jennifer Dutiné , Markus Clemens , Sebastian Schöps

We consider the problem of designing efficient regularization algorithms when regularization is encoded by a (strongly) convex functional. Unlike classical penalization methods based on a relaxation approach, we propose an iterative method…

Optimization and Control · Mathematics 2017-07-19 Simon Matet , Lorenzo Rosasco , Silvia Villa , Bang Long Vu