Using the technique of limited independence, we can derandomize this algorithm yielding \mathcal{O}(1.3071^n) deterministic running time at most.

However, in this paper, we derandomize the algorithm of [PPSZ98], already mentioned in the paragraph before, for the uniquely satisfiable case yielding (almost) ...

Abstract. The PPSZ Algorithm presented by Paturi, Pudlak, Saks, and. Zane in 1998 has the nice feature that the only satisfying solution of a uniquely ...

The PPSZ Algorithm presented by Paturi, Pudlak, Saks, and Zane in 1998 has the nice feature that the only satisfying solution of a uniquely satisfiable ...

The problem of deciding whether a k-CNF G has a satisfying assignment is well known as the k-SAT problem, which is NP-complete for k > 2. Hence, if.

The PPSZ algorithm is derandomized with the same bound for Uniquek-SAT [11] . For small values of k, these bounds are improved: for example, 3-SAT can be solved ...

Jan 17, 2020 · To remove the randomness in (1), the key observation is that in the Unique case, one only needs the order of every τ variables to be uniformly ...

Derandomization of PPSZ for Unique-k-SAT. The PPSZ algorithm presented by Paturi, Pudlak, Saks, and Zane in 1998 has the nice feature that the only ...

Furthermore, in Chapter 4, we derandomize the PPSZ algorithm for Unique- k-SAT. The PPSZ algorithm presented by Paturi, Pudlak, Saks, and Zane in 1998 has the ...