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For each of the following algorithms, indicate their worst-case running time complexity using the Big-Oh notation, and give a brief (3-4 sentences each) summary of the worst-case running time analysis. 1. Preorder traversal of a binary tree of size 3n assuming each visit action takes constant time. 2. Quick-sort on a sequence of size n, assuming that the pivot is always the last element in the corresponding sequence. 3. Insertion into a red-black tree of size n. 4. Bubble-sort on a sequence of size n/2

User Emuu
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Answer:

See explaination

Step-by-step explanation:

An algorithm can be looked as a procedure or formula for solving a problem, based on conducting a sequence of specified actions.

In most cases we can say a computer program is an elaborate algorithm.

Please kindly check attachment for the step by step solution of the given problem.

For each of the following algorithms, indicate their worst-case running time complexity-example-1
User Cleve
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