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Efficient Cross-Validation in ILP,age of causing computational overhead. However, it has been shown that this overhead often consists of redundant computations, which can be avoided by performing all folds of the cross-validation in parallel. In this paper we study to what extent such a parallel algorithm is also useful in ILP. We d呼吸 发表于 2025-3-31 09:03:22
of sequential and parallel time (i.e. Boolean circuit depth, equivalently: Turing machine space) complexity. While solutions to general smooth ODEs are known “PSPACE-complete” , we show that (i) The Cauchy problem for linear ODEs can be solved in NC., that is, within polylogarithmic parCollar 发表于 2025-3-31 09:38:34
Liviu Badeasuch dual linear-hierarchical structure include annotated linguistic data, executions of structured programs, and HTML/XML documents. Nested words generalize both words and ordered trees, and allow both word and tree operations. We define .-finite-state acceptors for nested words, and show that theGraduated 发表于 2025-3-31 16:42:55
Rodrigo Basilio,Gerson Zaverucha,Valmir C. Barbosative integer ., and the goal is to find a vertex subset . of size at most . such that . is an independent set. Further, we want that .[.] is highly connected. That is, .[.] should be . edge-connected. Clearly, the problem is .-complete, as substituting ., we obtain the . problem. A simple observatio狂怒 发表于 2025-3-31 19:14:11
Agnès Braud,Christel Vraing problems into algorithmically solvable problems and algorithmically unsolvable ones. The second big bang of computer science was the development of the concept of computational complexity. People recognized that problems that do not admit efficient algorithms are not solvable in practice. The sear杀菌剂 发表于 2025-3-31 23:15:38
Martin Eineborg,Henrik Boströmelf, on complexity of generation algorithms. These algorithms can be partitioned into three groups: supergraph, flash-light (backtrack), and dual-bounded generation. We will call a problem . if it can be solved by a polynomial (.) or quasi-polynomial (.) time algorithm. More generally, for any posit