Questions marquées «probabilistic-algorithms»

11
Déduire les types de raffinement

Au travail, j'ai été chargé de déduire des informations de type sur un langage dynamique. Je réécris des séquences d'instructions en imbriquéeslet expressions , comme ceci: return x; Z => x var x; Z => let x = undefined in Z x = y; Z => let x = y in Z if x then T else F; Z => if x then...

programming-languages logic type-theory type-inference machine-learning data-mining clustering order-theory reference-request information-theory entropy algorithms algorithm-analysis space-complexity lower-bounds formal-languages computability formal-grammars context-free parsing complexity-theory time-complexity terminology turing-machines nondeterminism programming-languages semantics operational-semantics complexity-theory time-complexity complexity-theory reference-request turing-machines machine-models simulation graphs probability-theory data-structures terminology distributed-systems hash-tables history terminology programming-languages meta-programming terminology formal-grammars compilers algorithms search-algorithms formal-languages regular-languages complexity-theory satisfiability sat-solvers factoring algorithms randomized-algorithms streaming-algorithm in-place algorithms numerical-analysis regular-languages automata finite-automata regular-expressions algorithms data-structures efficiency coding-theory algorithms graph-theory reference-request education books formal-languages context-free proof-techniques algorithms graph-theory greedy-algorithms matroids complexity-theory graph-theory np-complete intuition complexity-theory np-complete traveling-salesman algorithms graphs probabilistic-algorithms weighted-graphs data-structures time-complexity priority-queues computability turing-machines automata pushdown-automata algorithms graphs binary-trees algorithms algorithm-analysis spanning-trees terminology asymptotics landau-notation algorithms graph-theory network-flow terminology computability undecidability rice-theorem algorithms data-structures computational-geometry
10
Est-ce que

Si alors la hiérarchie s'effondre à son deuxième niveau (par le théorème de Karp-Lipton). Mais qu'en est-il de N P et de c o N P ?RP=NPRP=NP\sf RP = NPNPNP\sf NPcoNPcoNP\sf coNP J'ai essayé de prouver que est contenu dans N P (l'autre sens est trivial si R P = N P ) mais en vain, et je ne suis même...

complexity-theory complexity-classes probabilistic-algorithms