WebUnder this assumption, we introduce a novel data structure for computing (1+ε)-approximate DP solutions in near-linear time and space in the static setting, and with polylogarithmic update times when the DP entries change dynamically. 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 …
Dynamic Matching with Better-than-2 Approximation in …
WebApr 23, 1999 · It is important at this time to find alternative foundations to the design of se- cure cryptography. We introduce a new model of generalized interactive proofs as a step in this di- rection. WebChecking computations in polylogarithmic time. Computing methodologies. Symbolic and algebraic manipulation. Symbolic and algebraic algorithms. Theorem proving algorithms. … optron international corporation
Recognizing the Tractability in Big Data Computing
WebMentioning: 42 - Densest subgraph discovery (DSD) is a fundamental problem in graph mining. It has been studied for decades, and is widely used in various areas, including network science, biological analysis, and graph databases. Given a graph G, DSD aims to find a subgraph D of G with the highest density (e.g., the number of edges over the number of … 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… WebJun 10, 2024 · We also show that the Dynamic Subgraph Connectivity problem on undirected graphs with m edges has no combinatorial algorithms with poly(m) pre-processing time, O(m 2/3−є) update time and O(m 1−є) query time for є > 0, matching the upper bound given by Chan, Pătraşcu, and Roditty [SICOMP’11], and improving the … portrush doctors