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mathematical optimization

topic2 events
papersTODAY 04:00 UTC

Study compares optimisation and Bayesian methods for atmospheric reaction rates

A new arXiv preprint examines how well different optimisation and Bayesian inference techniques constrain reaction rate coefficients in detailed atmospheric chemical mechanisms. The work focuses on autoxidation systems, where many reaction pathways are only observed indirectly through high-resolution mass spectrometry data. The authors assess which methods best handle this indirect, uncertain evidence when estimating rates.

research/bayesian-inference/atmospheric-chemistry/arxiv
papersTODAY 04:00 UTC

SAILOR: solver-assisted LLM method recovers missing numbers in optimization code

A new arXiv paper proposes SAILOR, an interactive approach in which a language model turns natural-language optimization problems into solver-ready code. Because such descriptions often omit or leave vague the numerical values a solver needs, the method draws on solver feedback to recover missing costs, capacities, demands, bounds and penalties. The work targets the gap between fluent problem descriptions and the complete, precise inputs that optimization software requires.

llm/optimization/code-generation/arxiv