Time complexity and space complexity for beam search
By : ozi3501
Date : March 29 2020, 07:55 AM
Does that help Space complexity is beam_width * max_fanout since these are the candidates you generate at each step. Then you need to get the max_fanout best options and repeat the process as many times as you want/can (depends on the height of the tree, or how deep you want to explore). You can just sort the options and that will give you a time complexity of: O(depth * beam_width * max_fanout * Log(beam_width * max_fanout)).

Why has an unsuccessful search time for a hash table a time complexity Θ(1+α)?
By : noxdreamy
Date : March 29 2020, 07:55 AM
should help you out Testing if a given key is in the hash table doesn't need to test all slots. You simply calculate the hash value for the given key (1). This hash value identifies which slot the key has to be in, if it is in the hash table. So, you simply need to compare all entries (α) in that slot with the given key, yielding Θ(1+α). You don't need to look at the other slots because the key cannot be stored in any of the other slots.

time complexity between a ordered map string search vs int search
By : Andrès Ooghe
Date : March 29 2020, 07:55 AM
it should still fix some issue I am trying to understand the time complexity taken by the ordered map's find function. For example , Is the worst time complexity right for the map2?

What is the Time Complexity of search query in Neo4j?
By : RCordeiro
Date : March 29 2020, 07:55 AM
Hope this helps Going by the requirement of looking up a particular seller (or sellers, if looking up several at a time), the complexity for traversing the relationships is proportional to the products sold by those particular sellers (not all sellers) (let's call that k), so O(k). You would look up the :Seller node(s) by index (lucene index lookup for that particular label/property index, which I THINK is O(log(n)), where n is the number of entries in that particular index), then traverse all of the relevant relationships (:Sells?) to the :Product nodes sold by those sellers, then collect the products per seller.

What is the time complexity of search query in Graph database?
By : Scott H
Date : March 29 2020, 07:55 AM
may help you . The answer isn't so simple because the time complexities typically depend upon what you're doing in the query (the results of the query planner), there isn't a onesizefitsall time complexity for all queries. I can speak some for Neo4j (disclaimer: I am a Neo4j employee).

