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๐Ÿ” grant ayers ๐Ÿ“‚ Mathematics
Showing 2666 results for "grant ayers" in Mathematics
Mathematics Preprint PDF DOI

Beyond first-order accuracy in continuous-forcing immersed boundary methods, and their well-conditioned projection-based solution

Diederik Beckers, H. Jane Bae, Andres Goza ยท 2026

We introduce a refined immersed boundary (IB) methodology that is better-than-first-order accurate in practice, while preserving key properties of "continuous-forcing" IB approaches that retain a singโ€ฆ

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Mathematics Preprint PDF DOI

A mathematical analysis of hierarchical Hopfield models

Markus Heydenreich, Christian Hirsch, Matthias Lowe ยท 2026

The central question that we address is: How can structured information be stored in a hierarchical Hopfield model involving hidden layers? To this end, we develop a formalism of strokes and concepts โ€ฆ

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Mathematics Preprint PDF DOI

Recursive Record Filtering and Longest Decreasing Subsequences

Jackson Zariski, Kaitlin Kratter ยท 2026

We consider a recursive record-filtering procedure, which we informally call Disappear-Sort. Let $D_n$ denote the random variable giving the required number of passes in Disappear-Sort to eliminate a โ€ฆ

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Mathematics Preprint PDF DOI

Non static exponential turnpike property for optimal control problems with symmetries and boundary conditions

Sofya Maslovskaya, Sina Ober-Blobaum, Boris Wembe ยท 2026

Optimal control problems with symmetries often admit a non stationary turnpike property called trim turnpike, which characterizes the convergence of optimal solutions to certain symmetry induced trajeโ€ฆ

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Mathematics Preprint PDF DOI

Interacting Multi-Node Conifold Light Sectors

Abdul Rahman ยท 2026

We study finite-node conifold degenerations of Calabi--Yau threefolds from the point of view of interacting light sectors. Although each ordinary double point contributes a rank-one local vanishing seโ€ฆ

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Mathematics Preprint PDF DOI

Multivariable Vandermonde determinants, amalgams of matrices and Specht modules

Francis Brown ยท 2026

Using results of Fayers on the structure of Specht modules, we prove two different formulae for the determinant of matrices which are obtained by amalgamating the entries of two smaller matrices. In pโ€ฆ

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Mathematics Preprint PDF DOI

Comparison principles and long time behavior for a diffusive Energy Balance Model with vertical resolution

Piermarco Cannarsa, Valerio Lucarini, Patrick Martinez, Cristina Urbani, Judith Vancostenoble ยท 2026

We study a two-layer one-dimensional energy balance model, which allows for vertical energy exchanges between a surface layer and the atmosphere, as well as meridional energy transport across latitudeโ€ฆ

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Mathematics Preprint PDF DOI

Cayley-transform analysis and numerical validation of the convergent Born series for the Helmholtz equation

Morten Jakobsen ยท 2026

We develop an operator-theoretic framework for the Convergent Born Series (CBS) method applied to the Lippmann--Schwinger equation for high-frequency Helmholtz problems. In contrast to the Fourier-basโ€ฆ

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Mathematics Preprint PDF DOI

Mapping-based Hard-constrained Physics-Informed Neural Networks for unbounded wave problems

Tao Zhang, Hanshu Chen, Ilia Marchevsky, Zhuojia Fu ยท 2026

The aim of this paper is to introduce a Mapping-based Hard-constrained Physics-Informed Neural Network (MH-PINN) for efficiently and accurately solving unbounded wave problems. First, we propose a cooโ€ฆ

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Mathematics Preprint PDF DOI

On Chromatic Asymptotic Approximate Groups

Arindam Biswas ยท 2026

We study a chromatic theory of asymptotic approximate groups for tuples of subsets of abelian groups, combining Nathanson's chromatic sumset formalism with asymptotic covering ideas from approximate gโ€ฆ

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Mathematics Preprint PDF DOI

Physics-Informed Neural Networks: A Didactic Derivation of the Complete Training Cycle

Abdeladhim Tahimi ยท 2026

This paper is a step-by-step, self-contained guide to the complete training cycle of a Physics-Informed Neural Network (PINN) -- a topic that existing tutorials and guides typically delegate to automaโ€ฆ

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Mathematics Preprint PDF DOI

A Kantorovich-type variant of Gr\"unwald Interpolation Operators

P. C. Vinaya ยท 2026

In this paper, we introduce a new sequence of operators based on the Gr\"unwald interpolation operators on Chebyshev nodes on the space $L^p[0,{\pi}]$. The operators we consider are integral variants โ€ฆ

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Mathematics Preprint PDF DOI

Efficient and well-conditioned ghost-point discretization of boundary operators on unfitted domains

Armando Coco, Alessandro Coclite, Stephane Clain, Rui Miguel Pereira ยท 2026

Unfitted boundary methods are widely used to numerically solve partial differential equations (PDEs) on irregular domains, avoiding the computational burden of generating boundary-conforming grids. Inโ€ฆ

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Mathematics Preprint PDF DOI

Smooth perturbations of diagonally implicit Runge--Kutta methods

John Driscoll, Sigal Gottlieb, Zachary J. Grant, Cesar Herrera, Tej Sai Kakumanu, Monica Stephens ยท 2026

A mixed accuracy framework for Runge--Kutta methods presented in [Grant, JSC 2022] has been shown to speed up the computation in diagonally implicit Runge--Kutta (DIRK) methods by using less expensiveโ€ฆ

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Mathematics Preprint PDF DOI

Deflation-based preconditioning for immersed finite element methods and immersogeometric analysis

Yannis Voet, Matthias Moller, Pablo Antolin, Cornelis Vuik ยท 2026

Trimming is a ubiquitous operation in computer-aided-design whereby parts of a geometry are merged, intersected, or simply discarded. While it grants virtually unlimited flexibility in geometric desigโ€ฆ

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Mathematics Preprint PDF DOI

A Proposed Framework for Advanced (Multi)Linear Infrastructure in Engineering and Science (FAMLIES)

Devin A. Matthews, Tze Meng Low, Margaret E. Myers, Devangi N. Parikh, Robert A. van de Geijn ยท 2026

We leverage highly successful prior projects sponsored by multiple NSF grants and gifts from industry: the BLAS-like Library Instantiation Software (BLIS) and the libflame efforts to lay the foundatioโ€ฆ

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Mathematics Preprint PDF DOI

Reconstructing double-well potentials from transition layers in long-range phase coexistence models

Serena Dipierro, Francesco De Pas, Enrico Valdinoci ยท 2026

In models of phase coexistence, the precise form of the double-well potential is of central importance, yet it cannot be derived from first principles. In this paper, we investigate an inverse problโ€ฆ

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Mathematics Preprint PDF DOI

Refined boundary layer asymptotics for elliptic equations with multiplicative nonlocal effects

Chiun-Chang Lee, Sang-Hyuck Moon, Wen Yang ยท 2026

We investigate singularly perturbed elliptic problems with multiplicative nonlocal diffusion terms subject to Robin boundary conditions. The diffusion depends on a global quantity of the solution, whiโ€ฆ

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Mathematics Preprint PDF DOI

Ollivier-Ricci Curvature of Riemannian Manifolds and Directed Graphs with Applications to Graph Neural Networks

Eleanor Wiesler ยท 2026

This thesis is an exposition of Ollivier-Ricci Curvature of metric spaces as introduced by Yann Ollivier, which is based upon the 1-Wasserstein Distance and optimal transport theory. We present some oโ€ฆ

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Mathematics Preprint PDF DOI

A Functional-Analytic Framework for Nonlinear Adaptive Memory: Hierarchical Kernels, State-Dependent Sensitivity, and Memory-Dependent Functionals

Jiahao Jiang ยท 2026

This work develops a systematic functional-analytic framework for nonlinear adaptive memory, where the influence of past events depends on both elapsed time and the state values along a trajectory. Thโ€ฆ

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