output
20032026
most citedStochastic Optimization Approaches for Solving Sudoku

169 citations

25 papers

astro-ph.SR2026

The Effective Velocity of Transferred Mass: How Momentum Prescriptions Determine Binary Orbital Evolution

Jerry Li

In binary stellar evolution, the orbital response to mass transfer depends on how angular momentum is redistributed. We introduce a one-parameter family of prescriptions characteri…

math.NT2026

On a Diophantine Equation with Jacobsthal and Fibonacci Numbers

Daeyeoul Kim, Zekiye Pinar Cihan, Zeynep Demirkol Ozkaya +1

In the present paper, we identify all Jacobsthal numbers that may be expressed as a product of three Fibonacci numbers. More precisely, our main result shows that the only solution…

astro-ph.GA2026

WISDOM Project - XXVII. Giant molecular clouds of the lenticular galaxy NGC 1387: similarities with spiral galaxy clouds

Fu-Heng Liang, Martin Bureau, Lijie Liu +10

Molecular gas is crucial to understanding star formation and galaxy evolution, but the giant molecular clouds (GMCs) of early-type galaxies (ETGs) have rarely been studied. Here, w…

physics.soc-ph2025

The Problem of Civil and Criminal Identification -- Bayesian Networks Approach

Marina Andrade, Manuel Alberto M. Ferreira

DNA evidence use in problems of civil and criminal identification is becoming greater. The necessity of evaluating the weight of that evidence may be accomplished using one of the…

astro-ph.GA2024★ 1 cited

From Stellar Nurseries to Old Stellar Populations: A Multi-wavelength Case of NGC 1055

Selçuk Topal

Given the complex nature of galaxies' interstellar medium (ISM), multi-wavelength data are required to probe the interplay among gas, dust, and stellar populations. Spiral galaxies…

cs.RO2024★ 8 cited

Towards Generalist Robot Learning from Internet Video: A Survey

Robert McCarthy, Daniel C. H. Tan, Dominik Schmidt +5

Scaling deep learning to massive and diverse internet data has driven remarkable breakthroughs in domains such as video generation and natural language processing. Robot learning,…