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We present formulations and numerical algorithms for solving diffeomorphic shape matching problems. We formulate shape matching as a variational problem governed by a dynamical system that models the flow of diffeomorphism $f_t \in…

Optimization and Control · Mathematics 2023-07-20 Andreas Mang , Jiwen He , Robert Azencott

This article explores an algebraic-recursive approach to construct differential operators that commute with a central operator $\hat{H}$ in quantum mechanics. Starting from the Schr\"odinger equation for a free particle, the work derives…

Quantum Physics · Physics 2025-10-28 Enrique Casanova , Melvin Arias

We analyze discrete optimal control problems and their connection with back propagation and deep learning. We consider in particular the symmetric representation of the discrete rigid body equations developed via optimal control analysis…

Optimization and Control · Mathematics 2024-04-11 Anthony M. Bloch , Peter E. Crouch , Tudor S. Ratiu

We consider symmetric second-order differential operators with real coefficients such that the corresponding differential equation is in the limit circle case at infinity. Our goal is to construct the theory of self-adjoint realizations of…

Classical Analysis and ODEs · Mathematics 2021-08-17 Dmitri R. Yafaev

This paper is devoted to study discrete and continuous bases for spaces supporting representations of SO(3) and SO(3,2) where the spherical harmonics are involved. We show how discrete and continuous bases coexist on appropriate choices of…

Mathematical Physics · Physics 2018-05-23 E. Celeghini , M. Gadella , M. A. del Olmo

The classical $S_n$ equations of Carlson and Lee have been a mainstay in multi-dimensional radiation transport calculations. In this paper, an alternative to the $S_n$ equations, the "Lagrange Discrete Ordinate" (LDO) equations are derived.…

Computational Physics · Physics 2014-05-16 Cory D. Ahrens

By employing non-equispaced grid points near boundaries, boundary-optimized upwind finite-difference operators of orders up to nine are developed. The boundary closures are constructed within a diagonal-norm summation-by-parts (SBP)…

Numerical Analysis · Mathematics 2026-02-06 Ken Mattsson , David Niemelä , Andrew R. Winters

Neural operator learning accelerates PDE solution by approximating operators as mappings between continuous function spaces. Yet in many engineering settings, varying geometry induces discrete structural changes, including topological…

Machine Learning · Computer Science 2026-03-04 Jinshuai Bai , Haolin Li , Zahra Sharif Khodaei , M. H. Aliabadi , YuanTong Gu , Xi-Qiao Feng

In this paper we show how a second order scalar uniformly elliptic equation on divergence form with measurable coefficients and Dirichlet boundary conditions can be transformed into a first order elliptic system with half-Dirichlet boundary…

Analysis of PDEs · Mathematics 2021-04-27 Erik Duse

High-dimensional stochastic optimal control (SOC) becomes harder with longer planning horizons: existing methods scale linearly in the horizon $T$, with performance often deteriorating exponentially. We overcome these limitations for a…

Machine Learning · Computer Science 2026-03-25 Louis Claeys , Artur Goldman , Zebang Shen , Niao He

Classical spectral theory provides powerful tools for analyzing linear operators, but does not extend naturally to nonlinear or compositional settings. In particular, there is no general way to transport spectral invariants in a functorial…

Category Theory · Mathematics 2026-05-05 Shih-Yu Chang

In this monograph we develop magnetic pseudodifferential theory for operator-valued and equivariant operator-valued functions and distributions from first principles. These have found plentiful applications in mathematical physics,…

Mathematical Physics · Physics 2022-10-13 Giuseppe De Nittis , Max Lein , Marcello Seri

The operator of double differentiation, perturbed by the composition of the differentiation operator and a convolution one, on a finite interval with Dirichlet boundary conditions is considered. We obtain uniform stability of recovering the…

Spectral Theory · Mathematics 2020-08-18 Sergey Buterin

Spline interpolation has been used in several applications due to its favorable properties regarding smoothness and accuracy of the interpolant. However, when there exists a discontinuity or a steep gradient in the data, some artifacts can…

Numerical Analysis · Mathematics 2021-12-21 Francesc Aràndiga , Antonio Baeza , Dionisio F. Yáñez

In a thin multidimensional layer we consider a second order differential PT-symmetric operator. The operator is of rather general form and its coefficients are arbitrary functions depending both on slow and fast variables. The PT-symmetry…

Spectral Theory · Mathematics 2014-03-19 Denis Borisov

Many challenges in science and engineering, such as drug discovery and communication network design, involve optimizing complex and expensive black-box functions across vast search spaces. Thus, it is essential to leverage existing data to…

Machine Learning · Computer Science 2024-12-04 Juncheng Dong , Zihao Wu , Hamid Jafarkhani , Ali Pezeshki , Vahid Tarokh

Bilevel optimization has emerged as a technique for addressing a wide range of machine learning problems that involve an outer objective implicitly determined by the minimizer of an inner problem. While prior works have primarily focused on…

Machine Learning · Computer Science 2025-11-18 Fares El Khoury , Edouard Pauwels , Samuel Vaiter , Michael Arbel

We prove some Liouville properties for sub- and supersolutions of fully nonlinear degenerate elliptic equations in the whole space. Our assumptions allow the coefficients of the first order terms to be large at infinity, provided they have…

Analysis of PDEs · Mathematics 2016-06-17 Martino Bardi , Annalisa Cesaroni

In the present paper we construct the discrete analogue $D_m(h\beta)$ of the differential operator $\frac{d^{2m}}{d x^{2m}} + 2\omega^2\frac{d^{2m-2}}{d x^{2m-2}} + \omega^4\frac{d^{2m-4}}{d x^{2m-4}}$. The discrete analogue $D_m(h\beta)$…

Numerical Analysis · Mathematics 2013-10-29 A. R. Hayotov

The nature of so-called differential-algebraic operators and their approximations is constitutive for the direct treatment of higher-index differential-algebraic equations. We treat first-order differential-algebraic operators in detail and…

Numerical Analysis · Mathematics 2019-03-22 Michael Hanke , Roswitha März
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