Suppose that we have k max heaps, with n items in each. We wish to combine these into a single max heap with n * k items in it. Each of the following parts 7a and 7b describes one approach to combining the heaps, for which you are asked to derive the worst case big O running time. Required:
Create a new, empty heap H. For each of the k heaps, we repeatedly remove the highest priority element and insert it into H, until the original heap is empty. What is the worst-case big O running time?

Which of the following is a true statement about milestones

If you embed a word table into powerpoint, what happens when you make edits to the embedded data? a. edits made to embedded data change the data in the source file; however, edits made to the source file will not be reflected in the embedded data. b. edits made to embedded data will change the data in the source file, and edits made to the source file will be reflected in the embedded data. c. edits made to embedded data don't change the data in the source file, nor will edits made to the source file be reflected in the embedded data. d. edits made to embedded data don't change the data in the source file; however, edits made to the source file will be reflected in the embedded data.

What is the difference between the internet and the world wide web?