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Showing 37107 results for "deepesh data" in Mathematics · Preprint
Mathematics Preprint PDF DOI

Bounded, Commuting, Discrete-trace Preserving Projections

Alexandre Ern, Johnny Guzman, Pratyush Potu · 2026

We construct bounded, commuting projections for the three-dimensional de Rham complex with the additional property that the projections preserve the trace of functions/fields if the latter is a piecew…

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Mathematics Preprint PDF DOI

Gauge symmetry and uniqueness in inverse problems for the JMGT equation

Dong Qiu, Xiang Xu, Yeqiong Ye, Ting Zhou · 2026

In this paper, we study an inverse boundary value problem for the Jordan--Moore--Gibson--Thompson equation on a simple Riemannian manifold. We consider an all boundary measurement map that maps Dirich…

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Mathematics Preprint PDF DOI

Noise-induced enhancement of regime lifetimes -- A data-driven approach using deterministic trajectories

Henry Schoeller, Robin Chemnitz, Peter Koltai, Maximilian Engel, Stephan Pfahl · 2026

We investigate the lifetime of dynamical regimes under the impact of noise motivated by low-dimensional models of the atmosphere. One may expect that the inclusion of noise tends to make the system le…

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Mathematics Preprint PDF DOI

On three-dimensional flows of thermo-viscoelastic fluids of Giesekus type

Miroslav Bulicek, Tomas Los, Jakub Woznicki · 2026

Viscoelastic rate-type fluid models constitute a fundamental framework for the mathematical description of complex materials exhibiting coupled elastic and viscous effects, with a wide range of applic…

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Mathematics Preprint PDF DOI

Data-Driven Continuous-Time Linear Quadratic Regulator via Closed-Loop and Reinforcement Learning Parameterizations

Armin Gie{ss}ler, Felix Thommes, Soren Hohmann · 2026

This paper studies data-driven approaches to the continuous-time linear quadratic regulator (LQR) problem based on two existing parameterizations, namely a closed-loop (CL) parameterization from behav…

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Mathematics Preprint PDF DOI

Decoupled Descent: Exact Test Error Tracking Via Approximate Message Passing

Max Lovig · 2026

In modern parametric model training, full-batch gradient descent (and its variants) suffers due to progressively stronger biasing towards the exact realization of training data; this drives the system…

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Mathematics Preprint PDF DOI

A High Dimensional Wild Bootstrap Max-Test for Detecting the Presence of Significant Predictors

Jonathan B. Hill · 2026

We construct a block bootstrap max-test for detecting the presence of significant predictors in a high dimensional setting, allowing for weakly dependent and heterogeneous (possibly non-stationary) da…

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Mathematics Preprint PDF DOI

A Systematic Review of Recent Advancements in PINN Augmented Deep Learning and Mathematical Modeling for Efficient Portfolio Management

Bahadur Yadav, Sanjay Kumar Mohanty · 2026

In finance, portfolio management is a traditional yet difficult problem that has drawn attention from practitioners and researchers for many years. However, there are still difficult technological pro…

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Mathematics Preprint PDF DOI

Finite-time blow-up in a class of chemotaxis systems with spatially heterogeneous diffusion sensitivity

Yashuang Zhao, Shijun Li, Shaopeng Xu · 2026

\indent In this paper, we study a class of parabolic-elliptic Keller-Segel systems with diffusion sensitivity dependent on spatial position, given by type \begin{equation} \left\{ \begin{array}{ll…

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Mathematics Preprint PDF DOI

A Neural Network Method for Scalar Conservation Laws with Convergence Rates for Shock-Wave Solutions: extended version

Jiachuan Cao, Buyang Li, Hao Li · 2026

We introduce an entropy-compatible neural network method for scalar hyperbolic conservation laws based on a computable surrogate of the Kru\v{z}kov entropy residual. The proposed loss is designed to e…

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Mathematics Preprint PDF DOI

Continuous-time q-learning for mean-field control with common noise, part-II: q-learning algorithms

Zhenjie Ren, Xiaoli Wei, Xiang Yu, Xun Yu Zhou · 2026

This paper is a continuation work of Ren et al. (2026) aiming to further devise q-learning algorithms for mean-field control (MFC) with controlled common noise. Based on the relaxed control formulatio…

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Mathematics Preprint PDF DOI

Triangulation of Points Constrained to a Plane

Petr Hruby, Elima Shehu · 2026

We study the set of image tuples arising from fixed cameras observing varying planar 3-dimensional point configurations. We derive a formula for the number of complex critical points of the triangulat…

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Mathematics Preprint PDF DOI

Statistical Inference for Homogenization Limits Driven by Wiener or Hermite Processes

Pablo Ramses Alonso-Martin · 2026

We study the effective estimation of the diffusivity and Hurst parameter for the homogenized limit of a class of slow/fast systems. Depending on the system parameters, this limit solves a stochastic d…

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Mathematics Preprint PDF DOI

Reverse Tableaux and the Surjectivity of the Component Map in Type $A$

Yasmine Fittouhi · 2026

Let $G = \mathrm{SL}(n,\mathbb{C})$, let $B$ be a fixed Borel subgroup, and let $P \supset B$ be a parabolic subgroup determined by a composition $(c_1,\dots,c_k)$ of $n$. Write $P'$ for the derived g…

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Mathematics Preprint PDF DOI

A Scale-Shape Dual Newton Method for Entropic Least Squares

Nicholas Barnfield, James V. Burke, Michael P. Friedlander, Tim Hoheisel · 2026

We give a damped inexact Newton method for entropy-regularized least-squares on the nonnegative orthant that converges globally at a linear rate with $O(\log\epsilon^{-1})$ iteration complexity, local…

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Mathematics Preprint PDF DOI

Degree-dependent and distance-dependent contact rates interpolate between explosive, exponential and polynomial epidemic growth

Zylan Benjert, Julia Komjathy, Johannes Lengler, John Lapinskas, Ulysse Schaller · 2026

It is a fundamental question in epidemiology to estimate, model and predict the growth rate of a pandemic. Analogously, analysing the diffusion of innovation, (fake) news, memes, and rumours is of key…

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Mathematics Preprint PDF DOI

Data-driven discovery of polynomial ODEs with provably bounded solutions

Albert Alcalde, Giovanni Fantuzzi · 2026

We introduce SILAS, a data-driven framework for discovering polynomial ordinary differential equations (ODEs) with provably bounded trajectories. Boundedness is certified by compact absorbing sets def…

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Mathematics Preprint PDF DOI

$C^1$-Regularity of the Free Boundary for Hele-Shaw Flow with Source and Drift

Yuming Paul Zhang · 2026

This paper is a continuation of the work in \cite{kimzhang2024} concerning Hele-Shaw flow with both drift and source terms. We prove that, in a local neighborhood, if the free boundary is Lipschitz co…

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Mathematics Preprint PDF DOI

Data assimilation for slightly compressible flow

Aytekin C{i}b{i}k, Rui Fang · 2026

Continuous data assimilation (CDA) nudges observational data into governing equations to recover the underlying flow and improve predictions. Existing rigorous CDA analyses focus primarily on incompre…

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Mathematics Preprint PDF DOI

Beyond Linear Additive and Hill Functions: A General Logistic Reformulation of Delay-Coupled Gene Regulatory Networks with Equilibrium Analysis, Hopf Bifurcation, and Lipschitz Stability

Ismail Belgacem · 2026

Hill functions, dominant in gene regulatory network modeling, carry fundamental limitations: at non-integer cooperativity exponents, routine when fitting dose-response data, derivatives diverge at the…

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