Question: This is C language conceptThe edit distance between two strings is defined as the minimum number of insertion, deletion, and substitution operations necessary to transform
This is C language conceptThe edit distance between two strings is defined as the minimum number of insertion,
deletion, and substitution operations necessary to transform one string into another. For
example, the edit distance between the strings "kitten" and "sitting" is :
kitten subst. rarr sitten subst. rarr i sittin ins. sitting
The goal of this problem is to design an efficient algorithm to compute the edit distance
between any two strings.
a points Consider a nave algorithm that computes edit distance by recursively
enumerating all possible edit sequences between two strings. Fill in the pseudocode
sketch below to implement this algorithm.if emptys:elif emptys:# TODO: fill this in
b points Express the time complexity of your algorithm from part a as a recur
rence relation. You do not need to find a closedform for this relation.
c points Briefly characterize all the unique subproblems that the recursive algo
rithm visits. Express the total number of unique subproblems in terms of the length
of the two strings.
d points Consider replacing the recursive algorithm from part a with a memo
ized version. What is the new time complexity?
e points Use dynamic programming to design a bottomup algorithm that com
putes edit distance by iteratively building up a table of edit distances. Describe
your algorithm you do not need to use pseudocode, but you might find it helpful
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