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🔍 nicholas cross 📂 Mathematics
Showing 9664 results for "nicholas cross" in Mathematics
Mathematics Preprint PDF DOI

Supercriticality of the SIRS on random networks

Phuc Lam, Oanh Nguyen · 2026

We study how long the SIRS process persists or how quickly it reaches extinction across various network topologies. Our results provide a three-part characterization of this process: In finite sparse …

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Mathematics Preprint PDF DOI

Robust Constrained Optimization via Sliding Mode Control

Shyam Kamal, Baby Diana, Sunidhi Pandey, Sandip Ghosh, Thach Ngoc Dinh · 2026

This paper develops a sliding mode control based frame work for equality constrained optimization by reformulation the first order Karush Kuhn Tucker conditions as control affine dynamical system. The…

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Mathematics Preprint PDF DOI

A Regularized Hessian-Free Inexact Newton-Type Method with Global $\mathcal{O}(k^{-2})$ Convergence

Leandro Farias Maia, Antonio Victor B. Nascimento, Paulo Sergio M. Santos, Gilson N. Silva · 2026

We propose a regularized Hessian-free Newton-type method for minimizing smooth convex functions with Lipschitz continuous Hessians. The algorithm constructs an approximate Hessian by finite difference…

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Mathematics Preprint PDF DOI

Mean-Field Systems with Heterogeneous Subteams: Optimality of Cluster-Symmetric Independent Policies and Equivalence with Decentralized McKean-Vlasov Control of Cluster-Representative Agents

Connor S. Braun, Sina Sanjari, Naci Saldi, Gunnar Blohm, Serdar Yuksel · 2026

Across science and engineering, mean-field methods have been a powerful and versatile approach for the analysis of systems of many interacting elements. However, common arguments used to characterize …

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Mathematics Preprint PDF DOI

Reliability-based Topology Optimization using Large Deviation Theory

Maryam Maghazeh, Ayyappan Unnikrishna Pillai, Mohammad Masiur Rahaman, Subhayan De · 2026

Reliability-based topology optimization (RBTO) requires repeated estimation of small failure probabilities and their gradients, making conventional nested Monte Carlo approaches computationally prohib…

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Mathematics Preprint PDF DOI

Nonsmooth Riemannian optimization with inexact manifold primitives via bundle methods

Mateo Diaz, Benjamin Grimmer, Ian McPherson · 2026

Optimization on Hadamard manifolds -- the natural Riemannian setting for globally geodesically convex problems -- relies on exponential maps to retract tangent vectors and parallel transport to connec…

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Mathematics Preprint PDF DOI

Man, Machine, and Mathematics

Akshunna S. Dogra · 2026

Nonlinear models and optimization methods have successfully tackled a rapidly growing set of problems in recent years. Indeed, a relatively small toolbox of such models and methods can provide suffici…

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Mathematics Preprint PDF DOI

An Asymptotic-Preserving Dual Formulation Finite-Volume Method for the Thermal Rotating Shallow Water Equations

Alina Chertock, Alexander Kurganov, Lorenzo Micalizzi, Nan Zhang · 2026

We propose a new second-order asymptotic-preserving (AP) dual formulation finite-volume (DF-FV) method for the thermal rotating shallow water (TRSW) equations. The TRSW system models geophysical flows…

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Mathematics Preprint PDF DOI

A New Asymptotic-Preserving Dual Formulation Finite-Volume Method for the Compressible Euler Equations

Alina Chertock, Smadar Karni, Alexander Kurganov, Lorenzo Micalizzi · 2026

The paper focuses on the development of numerical methods for the compressible Euler equations. It is well-known that if the Mach number is small, the system becomes stiff and hence explicit schemes s…

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Mathematics Preprint PDF DOI

Discrete variational calculus for double-bracket dissipation

Anthony Bloch, Sebastian J. Ferraro, David Martin de Diego, Shreyas Bharadwaj · 2026

Discrete variational methods show excellent performance in numerical simulations of mechanical systems. In this paper, we adapt discrete variational integrators for the case of mechanical systems with…

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Mathematics Preprint PDF DOI

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling

Jianghao Lin, Zi Ling, Chenyu Zhou, Tianyi Xu, Ruoqing Jiang, Zizhuo Wang, Dongdong Ge · 2026

Optimization modeling underpins real-world decision-making in logistics, manufacturing, energy, and public services, but reliably solving such problems from natural-language requirements remains chall…

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Mathematics Preprint PDF DOI

CR-invariant energy of Legendrian knots in the Heisenberg group

Yoshihiko Matsumoto, Jun O'Hara · 2026

We introduce an energy functional for Legendrian knots in the 3-dimensional Heisenberg group $\mathcal{H}$, which serves as a sub-Riemannian analog of the M\"obius invariant knot energy in Euclidean 3…

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Mathematics Preprint PDF DOI

Numerical Investigations of Stable Dynamics in the Presence of Ghosts

Jax Wysong, Samara Overvaag, Hyun Lim, Jung-Han Kimn · 2026

We explore the nonlinear dynamics of classical field theories containing ghost degrees of freedom, focusing on two coupled scalar fields with opposite kinetic terms in (1+1) and (2+1) dimensional Mink…

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Mathematics Preprint PDF DOI

Dictionary learning for Kernel EDMD

Erik Lien Bolager, Boumediene Hamzi, Houman Owhadi, Ioannis G. Kevrekidis, Felix Dietrich · 2026

Studying nonlinear dynamical systems through their state space behavior can be challenging, and one possible alternative is to analyze them via their associated Koopman operator. This turns the nonlin…

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Mathematics Preprint PDF DOI

A Combinatorial Optimisation Approach to Multi-factorial Gap-filling in Genome-scale Metabolic Models (GEMs)

Philip Kilby, Sevvandi Kandanaarachchi, Matthew J. Morgan, Amy M. Paten, Mariana Velasque, Andrew C. Warden, Juan P. Molina Ortiz · 2026

Genome-Scale Metabolic Models (GEMs) describe the interactions between genes, proteins, and the biochemical reactions that underpin an organism's metabolism aiming to computationally simulate function…

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Mathematics Preprint PDF DOI

The transmission problem with imperfect interfaces of small resistance

Shota Fukushima, Yong-Gwan Ji, Hyeonbae Kang · 2026

We consider the transmission problem in presence of interfaces with imperfect bonding. The imperfect bonding condition is characterized by the positive resistance along the interface, which causes dis…

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Mathematics Preprint PDF DOI

Noncrossing Duality and the Geometry of Positive Tropical Linear Spaces

Nick Early, Thomas Lam · 2026

While the positive Grassmannian is deeply understood through the rich combinatorics of plabic graphs and positroid cells, its tropical counterpart, the positive tropical Grassmannian Trop$_{>0}G(k,n)$…

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Mathematics Preprint PDF DOI

Homology-based Morphometry of Brain Atrophy: Methods and Applications

Donato Quiccione, Mariam Pirashvili, Nathan Broomhead, Sean J. Fallon · 2026

Understanding the structure of the brain, and how it changes with time and disease, is a core goal of structural neuroimaging. Contemporary approaches to structural brain analysis are dominated by vox…

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Mathematics Preprint PDF DOI

On Physics-Based Loss Scaling for MF-PINNs applied to the neutron diffusion equation

Minh-Hieu Do (SERMA), Francois Madiot (SERMA), Karim Ammar (SERMA), Nicolas Gerard Castaing (SERMA) · 2026

Physics-Based Loss Scaling (PBLS) is introduced for Mixed-Formulation PINNs (MF-PINNs) applied to the neutron diffusion equation. In particular, we propose a new \textit{scaled} loss function based on…

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Mathematics Preprint PDF DOI

Lie symmetry analysis of the nonlinear generalized heat equation for varying cross-section geometry

Targyn A. Nauryz · 2026

We study the nonlinear generalized heat equation $C(u)u_t=\frac{1}{z^{\nu}}\left(K(u)z^{\nu}u_z\right)_z$, where $C(u)$ and $K(u)$ are temperature-dependent thermal coefficients and $\nu>0$ is a geome…

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