WebNov 23, 2024 · Polylogarithmic time is a special case of the sublinear time, and it is not sufficient for characterizing the tractability in big data computing. Similar to the \(\sqcap \) -tractability theory [ 9 ], Yang et al. placed a logarithmic-size restriction on the preprocessing result and relaxed the query execution time to PTIME and introduced the corresponding … In computational complexity theory, the class NC (for "Nick's Class") is the set of decision problems decidable in polylogarithmic time on a parallel computer with a polynomial number of processors. In other words, a problem with input size n is in NC if there exist constants c and k such that it can be solved in time O(log n) using O(n ) parallel processors. Stephen Cook coined the name "Nick's class" after Nick Pippenger, who had done extensive research on circuits with polyl…
algorithm - What is the meaning of O ( polylog (n) )? In …
WebMay 25, 2024 · 1.1 Our Results. Our main result is an interactive oracle proof (IOP) [8, 44] that simultaneously achieves zero knowledge, linear-time proving, and polylogarithmic … WebOct 30, 2024 · Let T[1,n] be a string of length n and T[i,j] be the substring of T starting at position i and ending at position j. A substring T[i,j] of T is a repeat if it occurs more than once in T; otherwise, it is a unique substring of T. Repeats and unique substrings are of great interest in computational biology and information retrieval. Given string T as input, the … how do ap courses work
Descriptive Complexity of Deterministic Polylogarithmic Time
WebJul 15, 2024 · We present dynamic algorithms with polylogarithmic update time for estimating the size of the maximum matching of a graph undergoing edge insertions and … Weba polylogarithmic time verifier making O(1/ ) queries into a theorem and proof, whose proof length is T(n) ·2(logT(n)) , again for verifying membership in L∈NTIME(T(n)). This PCP matches the query complexity and proof length of the system of [BGH+04a], which was proved only for NP and uses a polynomial-time verification procedure. WebAn algorithm is said to have polynomial time complexity if its worst-case running time T worst(n) T worst ( n) for an input of size n n is upper bounded by a polynomial p(n) p ( n) for large enough n≥ n0 n ≥ n 0 . For example, if an algorithm's worst-case running time is T worst(n) ∈ O(2n4+5n3+6) T worst ( n) ∈ O ( 2 n 4 + 5 n 3 + 6 ... how do ap classes prepare you for college