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๐Ÿ” deepesh data ๐Ÿ“‚ Mathematics
Showing 37157 results for "deepesh data" in Mathematics
Mathematics Preprint PDF DOI

Bounded, Commuting, Discrete-trace Preserving Projections

Alexandre Ern, Johnny Guzman, Pratyush Potu ยท 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 piecewโ€ฆ

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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 ยท 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 Dirichโ€ฆ

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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 ยท 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 leโ€ฆ

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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 ยท 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 applicโ€ฆ

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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 ยท 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 behavโ€ฆ

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Mathematics Preprint PDF DOI

Decoupled Descent: Exact Test Error Tracking Via Approximate Message Passing

Max Lovig ยท 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 systemโ€ฆ

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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 ยท 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) daโ€ฆ

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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 ยท 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 proโ€ฆ

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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 ยท 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}{llโ€ฆ

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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 ยท 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 eโ€ฆ

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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 ยท 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 formulatioโ€ฆ

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Mathematics Preprint PDF DOI

Triangulation of Points Constrained to a Plane

Petr Hruby, Elima Shehu ยท 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 triangulatโ€ฆ

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Mathematics Preprint PDF DOI

Statistical Inference for Homogenization Limits Driven by Wiener or Hermite Processes

Pablo Ramses Alonso-Martin ยท 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 dโ€ฆ

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Mathematics Preprint PDF DOI

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

Yasmine Fittouhi ยท 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 gโ€ฆ

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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 ยท 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, localโ€ฆ

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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 ยท 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 keyโ€ฆ

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Mathematics Preprint PDF DOI

Data-driven discovery of polynomial ODEs with provably bounded solutions

Albert Alcalde, Giovanni Fantuzzi ยท 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 defโ€ฆ

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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 ยท 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 coโ€ฆ

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Mathematics Preprint PDF DOI

Data assimilation for slightly compressible flow

Aytekin C{i}b{i}k, Rui Fang ยท 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 incompreโ€ฆ

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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 ยท 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 theโ€ฆ

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