A decision tree with n2 leaves always has height O(log(n²)). An algorithm can finish before it reaches a leaf in its decision tree. The decision tree of an algorithm with n distinct possible outputs...


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A decision tree with n2 leaves always has height O(log(n²)).<br>An algorithm can finish before it reaches a leaf in its decision tree.<br>The decision tree of an algorithm with n distinct possible outputs can have 2n leaves.<br>The running time of an algorithm with a decision tree of height n can be w(n).<br>

Extracted text: A decision tree with n2 leaves always has height O(log(n²)). An algorithm can finish before it reaches a leaf in its decision tree. The decision tree of an algorithm with n distinct possible outputs can have 2n leaves. The running time of an algorithm with a decision tree of height n can be w(n).

Jun 05, 2022
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