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# Dynamic programing solutions

Problem Statement: The following are the available machines along with their respective capacities. Large – 10 units XLarge – 20 units  2XLarge – 40 units 4XLarge – 80 units 8XLarge – 160 units 10XLarge – 320 units These machines are located all over the world and depending on which part of the world they are located in, they have associated costs based on the number of hours they are utilised. Below are the per hour costs  New York Large : \$ 120 XLarge : \$ 230 2XLarge : \$450 4XLarge : \$ 774 XLarge : \$1400 10XLarge : \$ 2820   Write an optimized resource allocator program that can be used for cost planning. The program takes the below 2 inputs: Hours: No of hours the machine is required to run Capacity: No of units are required (Will always be multiple of 10) Based on these inputs, the program should optimally allocate the resources such that the cost of the capacity required is minimum. Calculate this for every region and show them as the below example.

10th May 2020, 12:41 PM
Harish Ragav
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Ok - sounds very interresting, BUT: What is your question?
10th May 2020, 12:44 PM
Lothar
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Sample Input:  Capacity of 1150 units for 1 Hour   Expected Output: {   “Output”: [     {       “region”: “New York”,       “total_cost”: “\$10150”,       “machines”: [         (8XLarge, 7),         (XLarge, 1),         (Large, 1)       ]     } ] } Lothar
10th May 2020, 12:54 PM
Harish Ragav
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This is example for the above question and I don't wht kind of dynamic programing is used Lothar
10th May 2020, 12:57 PM
Harish Ragav
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Martin Taylor Can you explain me in a brief manner ??
10th May 2020, 1:43 PM
Harish Ragav