Need help, thanks! The idea behind this algorithm is to reduce the computation time of a...
Need help, thanks! Correct algorithm of this type require that the problem have optimal substructure property O Backtracking or Randomization Dynamic ho O Parallelism O Heuristics Greedy
Need help, thanks! The input in the algorithm needs to be finite and low enough to fit in memory. O Backtracking or Randomization O Dynamic O Parallelism Heuristics O Greedy
Need help, thanks! These algorithms are not bound to a complexity O Backtracking or Randomization Dynamic Parallelism O Heuristics Greedy
Need help, thanks! The biggest limitation of this technique is the number of partial solutions we must keep track of. Backtracking or Randomization O Dynamic Parallelism O Heuristics Greedy
Need help, thanks! One of the characteristics of this algorithms is that allows an individual to make an approximation without having to do exhaustive research. Backtracking or Randomization O Dynamic O Parallelism O Heuristics Greedy
Need help, thanks! In optimization problems, these algorithms use the best choice at each stage O Backtracking or Randomization O Dynamic O Parallelism O Heuristics O Greedy
need the answer to b not a. thanks! 2. (40 pts) Let A, B, and C be three strings each n characters long. We want to compute the longest subsequence that is common to all three strings. (a) Let us first consider the following greedy algorithm for this problem. Find the longest common subsequence between any pair of strings, namely, LCS(A, B). LCS(B,C), LCS(A, C). Then, find the longest common subsequence between this LCS and the 3rd string. That is,...
How can diversity and inclusion help reduce employment discrimination? need help with this question. Thanks
It is due in 2 hours.. Thanks ! Suppose that an algorithm runs on a tree containing n nodes. What is the time complexity of the algorithm if the time spent per node in the tree is proportional to the number of grandchildren of the node? (Assume that the algorithm spends O(1) time for every node that does not have a grandchild.) In modern software development, a useful utility called make is usually employed to manage the compilation order of...
Need help with all 3 parts. Thanks Question 1 (Longest Common Subsequence) In the longest common sub- sequence algorithm we discussed in class, we formulated the recursive formula based on prefixes of the two inputs, i.e., X[1...) and Y [1..,]. 1. Rewrite the recursive formula using suffixes instead of prefixes, i.e., X[...m] and Y[j..n]. 2. Develop a bottom-up dynamic programming algorithm based on the recur- sive formula in (a). Describe the algorithm and write a pseudo code. 3. Use the...