Explain meet in the middle time complexity [closes #57]

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Antti H S Laaksonen 2017-12-10 11:25:35 +02:00
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@ -749,10 +749,10 @@ because $S_A$ contains the sum $6$,
$S_B$ contains the sum $9$, and $6+9=15$. $S_B$ contains the sum $9$, and $6+9=15$.
This corresponds to the solution $[2,4,9]$. This corresponds to the solution $[2,4,9]$.
The time complexity of the algorithm is $O(2^{n/2})$, We can implement the algorithm so that
because both lists $A$ and $B$ contain about $n/2$ numbers its time complexity is $O(2^{n/2})$.
and it takes $O(2^{n/2})$ time to calculate the sums of First, we generate \emph{sorted} lists $S_A$ and $S_B$,
their subsets to lists $S_A$ and $S_B$. which can be done in $O(2^{n/2})$ time using a merge-like technique.
After this, it is possible to check in After this, since the lists are sorted,
$O(2^{n/2})$ time if the sum $x$ can be created we can check in $O(2^{n/2})$ time if
from $S_A$ and $S_B$. the sum $x$ can be created from $S_A$ and $S_B$.