Suppose we want to find the longest path from s to t on a weighted directed...

 

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Suppose we want to find the longest path from s to t on a weighted directed acyclic graph. (a) Design a recursive procedure path(x) which finds the length of the longest path from node x to node t. You don't know which edge to traverse next, so your algorithm should try all outgoing edges and determine which produces the best answer. (b) Transform your recursive procedure into an iterative dynamic programming procedure. You will want to handle nodes in reverse topological order. Also indicate how you find the actual path (rather than just the length of the path). (c) Analyze the runtime of your algorithm. Suppose we want to find the longest path from s to t on a weighted directed acyclic graph. (a) Design a recursive procedure path(x) which finds the length of the longest path from node x to node t. You don't know which edge to traverse next, so your algorithm should try all outgoing edges and determine which produces the best answer. (b) Transform your recursive procedure into an iterative dynamic programming procedure. You will want to handle nodes in reverse topological order. Also indicate how you find the actual path (rather than just the length of the path). (c) Analyze the runtime of your algorithm.