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Your goal is to implement the following algorithms and compute performance using random graphs of different sizes. Multiple graph of different number of nodes [10,

Your goal is to implement the following algorithms and compute performance using random graphs of different sizes. Multiple graph of different number of nodes [10, 50, 100, 200, 300, 400, 500, ... 1000] should be used and random arcs with cost.

Language should be in C or Java only.

These can be generated using random number generator. 1. Dijsktra Algorithm

Basic libraries should be used avoiding any complex data structure.

Tools required: nanoTime() function to compute duration of running time javas Random class to generate array of random integers. Use node-node adjacency matrix. (Using adjacency list will carry bonus points). You may use built-in priority queue to store unexplored nodes. Plot the chart to show the runtime for each of the algorithm for different size of graphs.

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