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๐Ÿ” yuning jiang ๐Ÿ“‚ Mathematics
Showing 5734 results for "yuning jiang" in Mathematics
Mathematics Preprint PDF DOI

Extension of Excess Demand Ascending Auction to Multi-Demand Model by Discrete Convex Analysis Approach

Kazuo Murota, Akiyoshi Shioura ยท 2026

We consider the problem of finding the (unique) minimal Walrasian equilibrium price in multi-item, multi-unit auction models: there are multiple indivisible items for sale, with several units of each โ€ฆ

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Mathematics Preprint PDF DOI

Characterizations of amorphic association schemes in terms of fusing triples

Yanzhen Xiong ยท 2026

Let $\mathcal{R}$ be an association scheme with nontrivial relations $A_1,\ldots,A_d$. We call $\mathcal{R}$ amorphic if every possible fusion of its nontrivial relations gives rise to a fusion schemeโ€ฆ

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Mathematics Preprint PDF DOI

Reconfiguring flexibility in renewable power-to-ammonia systems using molten-salt thermal energy storage in the ammonia synthesis loop: A coordinated electro-hydrogen-thermal scheduling approach

Yiwei Qiu, Qingjie Sun, Yangjun Zeng, Ge Chen, Longjie Yang, Ge He, Xu Ji, Shi Chen, Buxiang Zhou, Kaigui Xie ยท 2026

In renewable power-to-ammonia (ReP2A) systems, the intermittency of wind and solar generation propagates through electrolytic hydrogen production and induces thermal instability in the ammonia synthesโ€ฆ

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Mathematics Preprint PDF DOI

On a Keller-Segel type equation to model Brain Microvascular Endothelial Cells growth's patterns

B Ambrosio, A Garroudji, S Fitzsimons, H Zaag, F.M. Elahi ยท 2026

This article presents a partial differential equation (PDE) of Keller-Segel (KS) type that reproduces patterns commonly observed during the growth of brain microvasculature. We provide mathematical inโ€ฆ

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Mathematics Preprint PDF DOI

Chemotaxis compressible Navier-Stokes equations with density-dependent viscosity modeling vascular network formation

Ansgar Jungel, Flora Philipp ยท 2026

The existence of global weak solutions to the compressible Navier-Stokes equations for the density of endothelial cells and their velocity, coupled to a reaction-diffusion equation for the concentratiโ€ฆ

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Mathematics Preprint PDF DOI

Waning Immunity Fails to Restore a Positive Epidemic Threshold on Power-Law Networks

Zihao He, Souvik Dhara, Debankur Mukherjee ยท 2026

In a seminal work, Chatterjee and Durrett (2009) established that for the SIS epidemic process on random graphs with power-law degree distributions, the infection survives for an exponentially long tiโ€ฆ

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Mathematics Preprint PDF DOI

Numerical Analysis of a Variable-Order Time-Fractional Incompressible Magnetohydrodynamics System

Abdumauvlen Berdyshev, Dossan Baigereyev, Aibek Bakishev, Nurlana Alimbekova, Talgat Farkhadov ยท 2026

We consider an incompressible magnetohydrodynamics (MHD) model in which the classical first-order time derivatives in the momentum and magnetic induction equations are replaced by variable-order Caputโ€ฆ

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Mathematics Preprint PDF DOI

Adaptive-Distribution Randomized Neural Networks for PDEs: A Low-Dimensional Distribution-Learning Framework

You Yang, Fei Wang ยท 2026

Randomized neural networks (RaNNs) are attractive for partial differential equations (PDEs) because they replace expensive end-to-end training with a linear least-squares solve over randomized hidden โ€ฆ

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Mathematics Preprint PDF DOI

SUDA-Muon: Structural Design Principles and Boundaries for Fully Decentralized Muon

Hengrui Zhang, Boao Kong, Jiahe Geng, Zhengyang Huang ยท 2026

Fully decentralized Muon is difficult because its nonlinear matrix-sign operator does not commute with linear gossip averaging. This makes decentralized Muon a structural design problem: in designing โ€ฆ

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Mathematics Preprint PDF DOI

Learning to Control Stabilization in Column Generation

Olivia Wang, Reem Khir ยท 2026

Column generation is a widely used decomposition technique for large-scale linear programs, but it often suffers from slow convergence due to poor initial dual estimates and dual oscillations. Stabiliโ€ฆ

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Mathematics Preprint PDF DOI

On Global-in-time Solutions of Incompressible MHD Equations with Small Alfv\'en Numbers

Fei Jiang, Xiao Ren, Yi Zhou ยท 2026

In 1965 Kraichnan pointed out that a sufficiently strong background magnetic field, i.e. the case of small Alfv\'en number, will reduce the nonlinear interaction and inhibit the formation of strong grโ€ฆ

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Mathematics Preprint PDF DOI

High-Probability Guarantees for Random Zeroth-Order (Stochastic) Gradient Descent

Haishan Ye ยท 2026

Zeroth-order optimization aims to minimize an objective function using only function evaluations, and is therefore fundamental in black-box optimization, hyperparameter tuning, bandit learning, and adโ€ฆ

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Mathematics Preprint PDF DOI

Mesh-Intrinsic GFEM: High-Order Smoothness on $C^0$ Unstructured Meshes

Rong Tian ยท 2026

High-order partial differential equations (PDEs) require derivative regularity that standard $C^0$ finite element infrastructures do not directly provide on unstructured meshes. We propose a mesh-intrโ€ฆ

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Mathematics Preprint PDF DOI

Burning Graph Powers and Branching Trees

Jesper Jansson, Shashanka Kulamarva, Yukihiro Murakami, Nikolaas Verhulst ยท 2026

Graph burning is a discrete-time process that models the spread of social contagion. Initially, all vertices are unburned. In each round, one unburned vertex is selected and burned, while any unburnedโ€ฆ

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Mathematics Preprint PDF DOI

Relaxation-Informed Training of Neural Network Surrogate Models

Calvin Tsay ยท 2026

ReLU neural networks trained as surrogate models can be embedded exactly in mixed-integer linear programs (MILPs), enabling global optimization over the learned function. The tractability of the resulโ€ฆ

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Mathematics Preprint PDF DOI

Analysis of an Inhomogeneous Random Walk with Spatial Decay of Transition Probabilities and Parameter Renewal per Excursion

Naohiro Yoshida ยท 2026

In this paper, we propose and analyze a novel one-dimensional inhomogeneous random walk model that combines spatial decay of transition probabilities with a temporal renewal structure for each excursiโ€ฆ

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Mathematics Preprint PDF DOI

Upper bounds on the running time of bootstrap percolation

Weichan Liu, Xiangxiang Nie, Simon Piga, Bjarne Schulke ยท 2026

For $k$-graphs $F$ and $H_0$ the $F$-bootstrap percolation process (or $F$-process) starting with $H_0$ is a sequence $(H_i)_{i\geq0}$ of $k$-graphs such that $H_{i+1}$ is obtained from $H_i$ by addinโ€ฆ

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Mathematics Preprint PDF DOI

Minimax Robust Designs for M-Estimated Models

Rui Hu, Douglas P. Wiens ยท 2026

Experimental designs that are minimax in the presence of model misspecifications have been constructed so as to minimize the maximum, over classes of alternate response models, of the integrated mean โ€ฆ

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Mathematics Preprint PDF DOI

Bounding Transient Instability in Sensor Data Injected Nonlinear Stochastic Flight Dynamics

Surya Ratna Prakash D, Soumyendu Raha ยท 2026

Transient instability in nonlinear stochastic dynamical systems is a fundamental limitation in safety-critical aerospace applications, particularly during powered descent and landing where failure is โ€ฆ

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Mathematics Preprint PDF DOI

Lindbladian Homotopy Analysis Method to Solve Nonlinear Partial Differential Equations

Eunsik Choi, Jungin E. Kim, Xueling Lu, Yan Wang ยท 2026

Quantum scientific computing is to solve engineering and science problems such as simulation and optimization on quantum computers. Solving ordinary and partial differential equations (PDEs) is essentโ€ฆ

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