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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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Physics Preprint PDF DOI

Complex Geodesics in the Nariai Geometry

Lars Aalsma, Mir Mehedi Faruk · 2026

We study two-point correlation functions of heavy scalar fields in the Nariai geometry. Utilizing the heat kernel formalism, we obtain this result from a geodesic approximation to the two-point functi…

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Computer Science Preprint PDF DOI

Scalable First-Order Interior Point Trust Region Algorithms for Linearly Constrained Optimization

Yuexin Su, Chenyi Zhang, Peiyuan Huang, Tongyang Li, Yinyu Ye · 2026

Computing approximate Karush--Kuhn--Tucker (KKT) points for constrained nonconvex programs is a fundamental problem in mathematical programming. Interior-point trust-region (IPTR) methods are particul…

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AI & Data Science Preprint PDF DOI

Extended State-dependent Hawkes Process for Limit Order Books: Mathematical Foundation and the Reproduction of Volatility Signature Plots

Akitoshi Kimura · 2026

This paper proposes an Extended State-Dependent Hawkes Process (ExsdHawkes) to model the intricate dynamics of Limit Order Books (LOBs). Our theoretical contribution lies in relaxing traditional const…

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Mathematics Preprint PDF DOI

Optimality Conditions and Numerical Algorithms for a Class of Minimax Bilevel Optimization Problems

Yaling Hu, Jiani Wang, Yu-hong Dai, Xiaojiao Tong · 2026

In many applications, including Stackelberg games, machine learning, and power systems \cite{Mackay2018Selftuning,Heinrich1952The,Wang2021Bi-Level}, the decisions in a minimax optimization problem can…

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Engineering Preprint PDF DOI

A Hybrid Reinforcement and Self-Supervised Learning Aided Benders Decomposition Algorithm

Bernard T. Agyeman, Zhe Li, Ilias Mitrai, Prodromos Daoutidis · 2026

We propose a hybrid reinforcement and self-supervised learning framework for accelerating generalized Benders decomposition (GBD). In this framework, a graph based reinforcement learning agent operate…

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AI & Data Science Preprint PDF DOI

Knowledge-driven Augmentation and Retrieval for Integrative Temporal Adaptation

Weisi Liu, Guangzeng Han, Xiaolei Huang · 2026

Time introduces fundamental challenges in model development and deployment: models are usually trained on historical data while deployed on future data where semantic distributions and domain knowledg…

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Physics Preprint PDF DOI

Magnetic-field control of interactions in alkaline-earth Rydberg atoms and applications to {\it XXZ} models

Masaya Kunimi, Takafumi Tomita · 2026

We study the magnetic-field dependence of the interactions between two alkaline-earth(-like) Rydberg atoms, ${}^{88}$Sr and ${}^{174}$Yb. Considering the pair of Rydberg states $|ns,{}^3S_1,m_J\rangle…

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Physics Preprint PDF DOI

The Flat Critical Branch Between Nariai and Bertotti-Robinson Geometries as a Solution of Cosmological Einstein-Maxwell Theory

Metin Gurses, Tahsin Cagri Sisman, Bayram Tekin · 2026

We analyze a class of product geometries of the form $\mathbb{R}^{1,1}\times \Sigma_2$ supported by electric, magnetic, or dyonic flux in the Einstein-Maxwell-$\Lambda$ theory. These spacetimes belong…

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Engineering Preprint PDF DOI

Automated Synthesis of Hardware-implementable Analog Circuits for Constrained Optimization

Sachin Khoja, Kamlesh Sawant, Palak Jain, Sairaj Dhople, Jason Poon · 2026

This paper presents an automated software toolchain for synthesizing hardware-implementable analog circuits that solve constrained optimization problems. The proposed toolchain supports nonlinear obje…

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Mathematics Preprint PDF DOI

On The Mathematics of the Natural Physics of Optimization

I. M. Ross · 2026

A number of optimization algorithms have been inspired by the physics of Newtonian motion. Here, we ask the question: do algorithms themselves obey some ``natural laws of motion,'' and can they be der…

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Economics & Finance Preprint PDF DOI

Informativeness under Model Uncertainty: Shadow Prices and Ridge Penalties

Jieun Lee, Esfandiar Maasoumi · 2026

We develop inference under model uncertainty due to weak, noisy, multiple candidate restrictions and theories, and nuisance control covariates. A unified framework is given with degrees of misspecific…

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Physics Preprint PDF DOI

Kardar-Parisi-Zhang physics in optically-confined continuous polariton condensates

Mikhail Misko, Natalia Starkova, Pavlos G. Lagoudakis · 2026

Kardar-Parisi-Zhang (KPZ) scaling has been observed in discrete polariton lattices, enabled by engineered band structures that stabilize the condensate. Whether this universality extends to intrinsica…

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Computer Science Preprint PDF DOI

Efficiency of Proportional Mechanisms in Online Auto-Bidding Advertising

Nguyen Kim Thang · 2026

The rise of automated bidding strategies in online advertising presents new challenges in designing and analyzing efficient auction mechanisms. In this paper, we focus on proportional mechanisms withi…

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Mathematics Preprint PDF DOI

On Optimality Conditions for Mathematical Programming Problems Based on Strong Subdifferentials

Felipe Lara, Alberto Ramos · 2026

We develop refined Karush-Kuhn-Tucker (KKT) and Fritz-John (FJ)-type optimality conditions for nonsmooth, nonconvex mathematical pro\-gra\-mming problems. We pay special attention in the case that the…

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Physics Preprint PDF DOI

QARIMA: A Quantum Approach To Classical Time Series Analysis

Nishikanta Mohanty, Bikash K. Behera, Badshah Mukherjee, Pravat Dash · 2026

We present a quantum-inspired ARIMA methodology that integrates quantum-assisted lag discovery with fixed-configuration variational quantum circuits (VQCs) for parameter estimation and weak-lag refine…

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Engineering Preprint PDF DOI

Karma Mechanisms for Decentralised, Cooperative Multi Agent Path Finding

Kevin Riehl, Julius Schlapbach, Anastasios Kouvelas, Michail A. Makridis · 2026

Multi-Agent Path Finding (MAPF) is a fundamental coordination problem in large-scale robotic and cyber-physical systems, where multiple agents must compute conflict-free trajectories with limited comp…

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Engineering Preprint PDF DOI

Flexible Electric Vehicle Charging with Karma

Ezzat Elokda, Ruiting Wang, Karl H. Johansson, Angela Fontan · 2026

Motivated by the need to develop fair and efficient schemes to facilitate the electrification of transport, this paper proposes a non-monetary karma economy for flexible Electric Vehicle (EV) charging…

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Physics Preprint PDF DOI

Exact quasinormal residues and double poles from hypergeometric connection formulas

Ye Zhou · 2026

We develop a unified mathematical method for the pole structure of frequency-domain Green's functions and the associated quasinormal spectra in radial boundary value problems reducible to the Gauss hy…

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Physics Preprint PDF DOI

Dimensional crossover in surface growth on rectangular substrates

Ismael S. S. Carrasco, Tiago J. Oliveira · 2026

In a recent work [Phys. Rev. E 109, L042102 (2024)], interesting dimensional crossovers [from two- to one-dimensional (2D to 1D) scaling] were found in the growth of Kardar-Parisi-Zhang (KPZ) interfac…

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