let' give the algorithm dry run by playing the last step of merging the two sublists [ and [ ]step first_sublist second_sublist merged_list step [ [ [step [ [ step [ step [ step [ step [ note that the text in bold represents the current item referenced in the loops first_sublist (which uses the index iand second_sublist (which uses the index jat this point in the executionthe third while loop in the merge function kicks in to move and into the merged_list the returned merged_list will contain the fully sorted list greedy algorithms as we said earliergreedy algorithms make decisions that yield the largest benefit in the interim it is the hope of this technique that by making these high yielding benefit choicesthe total path will lead to an overall good solution or end examples of greedy algorithms include prim' algorithm for finding the minimum spanning treesthe knapsack problemand the travelling salesman problemjust to mention few coin-counting problem let' examine very simple use of this greedy technique in some arbitrary countrywe have the denominations ghc ghcand ghc given an amount such as ghcwe may want to find the least possible number of denominations needed to provide change using the greedy approachwe pick the largest value from our denomination to divide ghc we use because it yields the best possible means by which we can reduce the amount ghc into lower denominations