Can you explain the dynamic programming approach used to solve the Edit Distance problem?
- It employs a greedy algorithm to quickly find the optimal solution.
- It involves using a recursive approach to calculate the minimum edit distance between two strings.
- It relies on heuristics to estimate the edit distance between two strings.
- It utilizes precomputed values stored in a matrix to avoid redundant calculations and solve the problem efficiently.
The dynamic programming approach to solving the Edit Distance problem involves using a matrix to store precomputed values. By breaking down the problem into subproblems and leveraging the optimal solutions to smaller subproblems, this approach avoids redundant calculations and efficiently finds the minimum edit distance.
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