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The search results for "cs.IR" include research on protein folding from a statistical physics perspective, examining how polypeptides form their functional 3D structures through stochastic processes. Another study addresses constraint solving in constraint logic programs, emphasizing domain reduction and chaotic iteration in debugging frameworks like GNU-Prolog. Both papers explore complex problem-solving methodologies within their respective fields.
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In this paper, we introduce an approach to the protein folding problem from the point of view of statistical physics. Protein folding is a stochastic process by which a polypeptide folds into its characteristic and functional 3D structure from random coil. The process involves an intricate interplay…
This work is devoted to constraint solving motivated by the debugging of constraint logic programs a la GNU-Prolog. The paper focuses only on the constraints. In this framework, constraint solving amounts to domain reduction. A computation is formalized by a chaotic iteration. The computed result is…