We have N jobs and N workers to do these jobs. It is known and known (as a positive numerical value) at what cost each worker will do each job. We want to assign jobs to workers in such a way that the total cost of completion of all jobs is minimal among other possible alternative assignments. For this problem, the input is a matrix representing worker / job costs, and the output is a list of tuples showing which work will be done by which worker, and Write the algorithm trying to reach the solution with OBUR / HURRY (GREEDY) technique as pseudocode. What does your algorithm mean? exhibits voracious / hasty behavior, please explain. What is the time complexity of your algorithm? Interpret if your algorithm always produces the best (optimum) result for each instance of the problem.

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