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Learning Distributed Safe Multi-Agent Navigation via Infinite-Horizon Optimal Graph Control
Fenglan Wang, Xinguo Shu, Lei He, Lin Zhao
https://arxiv.org/abs/2506.22117

Learning Distributed Safe Multi-Agent Navigation via Infinite-Horizon Optimal Graph Control
Distributed multi-agent navigation faces inherent challenges due to the competing requirements of maintaining safety and achieving goal-directed behavior, particularly for agents with limited sensing range operating in unknown environments with dense obstacles. Existing approaches typically project predefined goal-reaching controllers onto control barrier function (CBF) constraints, often resulting in conservative and suboptimal trade-offs between safety and goal-reaching performance. We propos…

Detailed Microwave Continuum Spectra from Bright Protoplanetary Disks in Taurus
Caleb Painter, Sean M. Andrews, Claire J. Chandler, Takahiro Ueda, David J. Wilner, Feng Long, Enrique Macias, Carlos Carrasco-Gonzalez, Chia-Ying Chung, Hauyu Baobab Liu, Tilman Birnstiel, A. Meredith Hughes
https://arxiv.org/abs/2507.21268

Detailed Microwave Continuum Spectra from Bright Protoplanetary Disks in Taurus
We present new observations that densely sample the microwave (4-360 GHz) continuum spectra from eight young systems in the Taurus region. Multi-component, empirical model prescriptions were used to disentangle the contributions from their dust disks and other emission mechanisms. We found partially optically thick, free-free emission in all these systems, with positive spectral indices (median $α_{\rm c} \approx 1$ at 10 GHz) and contributing 5-50% of the 43 GHz fluxes. There is no evidence f…

Dynamic Exponent Market Maker: Personalized Portfolio Manager and One Pool to Trade Them All
Wittawat Kositwattanarerk
https://arxiv.org/abs/2507.22732 https://

Dynamic Exponent Market Maker: Personalized Portfolio Manager and One Pool to Trade Them All
Decentralized exchange platforms such as Uniswap and Balancer operate on several pools where each pool contains two or more cryptocurrencies and constitutes direct trading pairs. The drawbacks here are that liquidity providing requires contribution of tokens in a specific proportion, and trading may require hopping between pools, hence increasing transaction fee and gas fee. We propose an automated market maker (AMM) protocol where liquidity providers can deposit any amount of tokens into the p…

Multi-period Mean-Buffered Probability of Exceedance in Defined Contribution Portfolio Optimization
Duy-Minh Dang, Chang Chen
https://arxiv.org/abs/2505.22121

Multi-period Mean-Buffered Probability of Exceedance in Defined Contribution Portfolio Optimization
We investigate multi-period mean-risk portfolio optimization for long-horizon Defined Contribution plans, focusing on buffered Probability of Exceedance (bPoE), a more intuitive, dollar-based alternative to Conditional Value-at-Risk (CVaR). We formulate both pre-commitment and time-consistent Mean-bPoE and Mean-CVaR portfolio optimization problems under realistic investment constraints (e.g., no leverage, no short selling) and jump-diffusion dynamics. These formulations are naturally framed as …

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On the flow topology of swirl jets upon impingement
Premchand V. Chandra, Pradip Dutta
https://arxiv.org/abs/2505.23203 https://arxiv…

On the flow topology of swirl jets upon impingement
Jet impingement enhances heat transfer and is characterised by the complex flow patterns formed when a jet impacts a plate aligned normal to it. While traditional round jet impingement has been extensively studied to understand flow and associated heat transfer, there is still room for research in investigating flow structures in swirl jet impingement. This paper focuses on the flow topology of swirl jets generated by a 45-degree vane swirler, impinging on a flat plate studied at dimensionless …

This https://arxiv.org/abs/2501.05440 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Enabling GPU Portability into the Numba-JITed Monte Carlo Particle Transport Code MC/DC
The Center for Exascale Monte Carlo Neutron Transport is developing Monte Carlo / Dynamic Code (MC/DC) as a portable Monte Carlo neutron transport package for rapid numerical methods exploration on CPU- and GPU-based high-performance computers. In this paper, we describe MC/DC's current event-based GPU algorithm as well as the just-in-time (JIT) compilation scheme we use to enable GPU operability on Nvidia and AMD GPUs from MC/DC's Python source. To analyze performance, we conduct runtime tests…

A Modified Dielectric Contrast based Integral Equation for 2D TE Scattering by Inhomogeneous Domains
Akshay Pratap Singh, Kuldeep Singh, Rajendra Mitharwal
https://arxiv.org/abs/2507.19777

A Modified Dielectric Contrast based Integral Equation for 2D TE Scattering by Inhomogeneous Domains
This work presents a modified domain integral equation approach for the forward problem of TE scattering, employing a modified definition of dielectric contrast and discretizing the electric field density using Rao-Wilton-Glisson (RWG) basis functions. The proposed formulation mitigates the numerical challenges introduced by the gradient-divergence operator in traditional electric field-based vector formulations. The use of RWG basis functions over triangular meshes enhances geometric conformit…

This https://arxiv.org/abs/2502.18200 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Zero-Shot Semantic Communication with Multimodal Foundation Models
Most existing semantic communication (SemCom) systems use deep joint source-channel coding (DeepJSCC) to encode task-specific semantics in a goal-oriented manner. However, their reliance on predefined tasks and datasets significantly limits their flexibility and generalizability in practical deployments. Multi-modal foundation models provide a promising solution by generating universal semantic tokens. Inspired by this, we introduce SemCLIP, a zero-shot SemCom framework leveraging the contrasti…

Towards Generalized Parameter Tuning in Coherent Ising Machines: A Portfolio-Based Approach
Tatsuro Hanyu, Takahiro Katagiri, Daichi Mukunoki, Tetsuya Hoshino
https://arxiv.org/abs/2507.20295

Towards Generalized Parameter Tuning in Coherent Ising Machines: A Portfolio-Based Approach
Coherent Ising Machines (CIMs) have recently gained attention as a promising computing model for solving combinatorial optimization problems. In particular, the Chaotic Amplitude Control (CAC) algorithm has demonstrated high solution quality, but its performance is highly sensitive to a large number of hyperparameters, making efficient tuning essential. In this study, we present an algorithm portfolio approach for hyperparameter tuning in CIMs employing Chaotic Amplitude Control with momentum (…