, we are given a set of n items. Each item weights between 0 and 1....

, we are given a set of n items. Each item weights between 0 and 1. We also have a set of bins (knapsacks). Each bin has a capacity of 1, i.e., total weight in any bin should be less than 1. The problem is to pack the items into as few bins as possible. For example Given items: 0.2, 0.5, 0.4, 0.7, 0.1, 0.3, 0.8 Opt Solution: Bin1[0.2, 0.8], Bin2[0.5, 0.4, 0.1], Bin3[0.7, 0.3] Each item must be placed in a bin before the next item can be pro- cessed. This problem is NP-hard. Give an approximation algorithm to solve the bin packing problem. Provide pseudo-code, time complexity analysis and proof of performance ratio.

Expert Solution

venereology answered 2 years ago

The data provided below is the same for each item in a set of interrelated items...

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Problem 1: Given an array A[0 ... n-1], where each element of the array represents a...

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Given an array A[0 … n-1], where each element of the array represent a vote in...

Given an array A[0 … n-1], where each element of the array represent a vote in the election. Assume that each vote is given as an integer representing the ID of the chosen candidate. Can you determine who wins the election? What is the complexity of your solution? Hint: it is similar to finding the element that is repeated the maximum number of times.

Given a difference equation x[n+2] + 5x[n+1]+6x[n]=n with start values x[0]= 0 and x[1]=0

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