Question: Question 1 4 pts Suppose you have solved a dynamic programming algorithm and come up with the following two variable recurrence: OPT OPT ( i

Question 1
4 pts
Suppose you have solved a dynamic programming algorithm and
come up with the following two variable recurrence:
OPT OPT(i-1, j-1), OPT(i-1, j)}
for i=0,1,dots,n and j=0,1,dots,m, with base cases OPT(0,j)=0 and
OPT(i,0)=0. In this recurrence, A is some array representing the
input to the problem. In all of the code snippets, A will be a
global variable.
Each of the following pseudocode snippets represents an attempt
at a polynomial time algorithm for efficiently and correctly
computing the value OPT (n,m). For each pseudocode snippet,
answer "true" if it correctly computes OPT(i,j) in polynomial time
and "false" if it fails to do so.Let OPT (}1,0)=0\mathrm{ and OPT (e,j)=0 for al1 i,j For 1=1,2,, n, n:Return OPT(n,n)
\
FindOPT_b(n,m)=ElseIf (m =0): Return e Return max{ A(n)+ FindOPT_b(n-1,n-1), FindOPT_b(n-1,n)}
FindOPT_c():For }1=1,2,\ldots,n\mathrm{ : Let OPT((1,j)=\operatorname{max}{A(i)+\operatorname{OPT}(1-1,j-1),\operatorname{OPT}(i-1,j)}FindOPT_d():For }\textrm{j}=1,2,\ldots,\textrm{n}\mathrm{ : Let OPT(i,j)=\operatorname{max}{A(i)+\operatorname{OPT}(i-1,j-1),\operatorname{OPT}(i-1,j)}
 Question 1 4 pts Suppose you have solved a dynamic programming

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