Gist 9334b76e2b85586979d759188e76d9c7

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Gist 9334b76e2b85586979d759188e76d9c7

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Last edited Sep 13, 2018

Created on Sep 13, 2018

This example visualizes the recursive computation of the minimum number of coins needed to reach a target amount, using Python’s `Solution` class and its `coinChange` method. The code defines a depth-first search that memoizes intermediate results in a list `results`, checking whether the amount is already in the coin list or previously computed. It iterates over eligible coin values, recursively calling `coinChange` with a reduced amount, and updates the minimum count. A sentinel value of `-1` is returned when the amount cannot be formed. The visualization likely renders the recursion tree or state transitions based on this algorithm, though no graphical library is imported in the provided code.

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