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Another evidence of the proximity to the physical model exploited by NoSQL systems are key-value stores that exploit hash-map (associative array) for holding key-value pairs.
We can reduce the memory consumption of the method using hash maps instead of arrays.
In computing, a hash map (hash table) is a data structure used to implement an associative array, a structure that can map keys to values.
jCompoundMapper offers a FeatureMap data structure, which stores the features in a wrapped hash map.
Hash map implementations like Cuckoo hashing (Pagh and Rodler, 2004) or Hopscotch hashing (Herlihy et al., 2008) can carry out all operations in constant (amortized) time.
We store an index of all k-mers from all reads in a hash map.
If we iterate over the hash map for those B′ with S′ a, v [*, B′]>0 then the worst-case running time increases to O(4Δ · 2δ · δ n1 n2), assuming constant time access to the hash map.
This name is found in the NCBI hash map and the read assigned to the ID 76008.
When you're stumped, try and compare it to something you do know (e.g. "So Tree Maps are like Hash Maps, let me talk about hash maps..."...
Mapping array.
We use hash array to index the grids.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com