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The goal of this problem is to walk from cell (0, 0) to cell (m, n) of a two-dimensional array.  Each step must be either to the right or downward.  So you can step from cell (1, 1) to cell (1, 2) or (2, 1). but not from (1, 1) to (0, 1) or (1,0). You are given a toll matrix, where each cell contains a toll that must be paid upon entry into that cell. The goal is to make it from cell (0, 0) to cell (m, n) while paying the smallest possible total toll. Does a greedy algorithm work?  Think it out. Write a dynamic programming algorithm that finds the minimum possible total toll.  It does not need to do reconstruction and say how to achieve that total toll.

The goal of this problem is to walk from cell (0, 0) to cell (m, n) of a two-dimensional array.  Each step must be either to the right or downward.  So you can step from cell (1, 1) to cell (1, 2) or (2, 1). but not from (1, 1) to (0, 1) or (1,0). You are given a toll matrix, where each cell contains a toll that must be paid upon entry into that cell. The goal is to make it from cell (0, 0) to cell (m, n) while paying the smallest possible total toll. Does a greedy algorithm work?  Think it out. Write a dynamic programming algorithm that finds the minimum possible total toll.  It does not need to do reconstruction and say how to achieve that total toll.

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The goal of this problem is to walk from cell (0, 0) to cell (m, n) of a two-dimensional array.  Each step must be either to the right or downward.  So you can step from cell (1, 1) to cell (1, 2) or (2, 1). but not from (1, 1) to (0, 1) or (1,0).

You are given a toll matrix, where each cell contains a toll that must be paid upon entry into that cell.

The goal is to make it from cell (0, 0) to cell (m, n) while paying the smallest possible total toll.

Does a greedy algorithm work?  Think it out.

Write a dynamic programming algorithm that finds the minimum possible total toll.  It does not need to do reconstruction and say how to achieve that total toll.

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