Question: An instance of the 0 - 1 Knapsack decision problem is a triple ( I , c , p ) , where I = {

An instance of the 0-1 Knapsack decision problem is a triple (I,c,p), where I={x1,dots,xn}
is a set of n items, c0 is the knapsack capacity, and p0 is the desired profit. Moreover,
associated with each item xiinI is a weight wi0 and profit pi0. The problem is to decide
if there is a subset of items from I for which i) the sum their weights does not exceed c, and
ii) the sum of their profits is equal to p. For example, the table below shows the items from a
positive instance of 0-1 Knapsack for which c=10 and p=140. The instance is positive since
{x2,x4,x5}subeI have a total weight equal to 5+1+4c and a total profit of 60+30+50=p.
The goal of this exercise is to establish that 0-1 Knapsack is a member of complexity class NP.
(a) For given instance (I,c,p) of 0-1 Knapsack describe a certificate in relation to (I,c,p).
(5 points)
(b) Provide a semi-formal verifier algorithm that takes as input i) an instance ( I,c,p), and
ii) a certificate for (I,c,p) as defined in part a, and decides if the certificate is valid for
points
please do not copy paste from the chatgpt or any other ai tool
An instance of the 0 - 1 Knapsack decision

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