Apr 17, 2012 · A deterministic algorithm is simply an algorithm that has a predefined output. For instance if you are sorting elements that are strictly ordered (no equal elements) the output is well defined and …

A particular implementation of Dijkstra's algorithm, however, probably is deterministic, because the nodes will be stored in a deterministic data structure like a min heap. This will result in the same …

Feb 25, 2010 · An algorithm is typically deterministic and proven to yield an optimal result A heuristic has no proof of correctness, often involves random elements, and may not yield optimal results. …

Aug 31, 2019 · To search on this column the client has to encrypt the parameter value with the specified key and algorithm, so SQL Server can match the deterministically-encrypted column value with the …

Feb 22, 2010 · The ordinary ("deterministic") Quicksort can have very poor behaviour on particular datasets (as an example, an implementation that picks the first unsorted element has O (n^2) time …

Non deterministic Turing machine What are NP problems? What are NP and NP-complete problems? Polynomial problem :- If the running time is some polynomial function of the size of the input**, for …

May 10, 2016 · 15 It's not so much the case that backtracking makes an algorithm non-deterministic. Rather, you usually need backtracking to process a non-deterministic algorithm, since (by the …

Jul 1, 2010 · The general idea is that you pre-compute hashes for a whole bunch of candidate plaintexts and then use a clever means of doing a reverse lookup to find which plaintext corresponds to a given …

Dec 10, 2017 · A decision problem is in NP if there is a known polynomial-time algorithm for a non-deterministic machine to get the answer. Problems known to be in P are trivially in NP --- the …

Apr 8, 2021 · I need to a way to consistently generate a unique ID given an object or a subset of properties from the object across .NET frameworks / environments / executions with minimal …