First List three key points of the dynamic programming problem-solving technique with a short description for each key point   Then take the Levenshtein edit distance code snippet below as an example to illustrate how three key points of the dynamic programming technique you listed above are applied in Levenshtein's solution. You may refer to the line number to explain your points

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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First List three key points of the dynamic programming problem-solving technique with a short description for each key point  

Then take the Levenshtein edit distance code snippet below as an example to illustrate how three key points of the dynamic programming technique you listed above are applied in Levenshtein's solution. You may refer to the line number to explain your points


 
 
 
 
 
 
 
 
 
 
 
 
 
1 def editDistanceDP (s1, s2, m, n, memo) :
if memo [m] [n] > -1: return memo [m] [n]
if m == 0: memo [m] [n] = n; return memo [m] [n]
if n == 0 : memo [m] [n]
if s1[m-1]
2
3
4
= m; return memo [m] [n]
s2 [n-1] :
= editDistanceDP (s1, s2, m-1, n-1, memo)
==
6.
memo [m] [n]
return memo [m] [n]
memo [m] [n] = 1 + min (editDistanceDP (s1, 32, m, n-1, memo),\
7
editDistanceDP (s1, s 2, m-1, n, memo),
editDistanceDP (s1, s2, m-1, n-1, memo))
10
11
return memo [m] [n]
Transcribed Image Text:1 def editDistanceDP (s1, s2, m, n, memo) : if memo [m] [n] > -1: return memo [m] [n] if m == 0: memo [m] [n] = n; return memo [m] [n] if n == 0 : memo [m] [n] if s1[m-1] 2 3 4 = m; return memo [m] [n] s2 [n-1] : = editDistanceDP (s1, s2, m-1, n-1, memo) == 6. memo [m] [n] return memo [m] [n] memo [m] [n] = 1 + min (editDistanceDP (s1, 32, m, n-1, memo),\ 7 editDistanceDP (s1, s 2, m-1, n, memo), editDistanceDP (s1, s2, m-1, n-1, memo)) 10 11 return memo [m] [n]
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