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neonofarm [45]
3 years ago
8

On the Header & Footer Tools Design tab, you can conveniently add a header, a footer, page numbers, and A. columns. B. times

tamp. C. style. D. table.
Computers and Technology
2 answers:
Travka [436]3 years ago
5 0

The answer is Timestamp (Date or Time)

Generally, headers and footers contain additional information like dates, page numbers, footnotes and author’s name. To insert the date, double click anywhere in the headers and footer. Place the insertion point on this area and the design tab will appear. Click the date and time command and the date and time dialog box will appear. Select your desired date and time format and  make sure to check the box next to update automatically.


Sedaia [141]3 years ago
4 0
I think the answer is B. timestamp
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. In the select algorithm that finds the median we divide the input elements into groups of 5. Will the algorithm work in linear
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Answer:

we have that it grows more quickly than linear.

Explanation:

It will still work if they are divided into groups of 77, because we will still know that the median of medians is less than at least 44 elements from half of the \lceil n / 7 \rceil⌈n/7⌉ groups, so, it is greater than roughly 4n / 144n/14 of the elements.

Similarly, it is less than roughly 4n / 144n/14 of the elements. So, we are never calling it recursively on more than 10n / 1410n/14 elements. T(n) \le T(n / 7) + T(10n / 14) + O(n)T(n)≤T(n/7)+T(10n/14)+O(n). So, we can show by substitution this is linear.

We guess T(n) < cnT(n)<cn for n < kn<k. Then, for m \ge km≥k,

\begin{aligned} T(m) & \le T(m / 7) + T(10m / 14) + O(m) \\ & \le cm(1 / 7 + 10 / 14) + O(m), \end{aligned}

T(m)

​

 

≤T(m/7)+T(10m/14)+O(m)

≤cm(1/7+10/14)+O(m),

​

therefore, as long as we have that the constant hidden in the big-Oh notation is less than c / 7c/7, we have the desired result.

Suppose now that we use groups of size 33 instead. So, For similar reasons, we have that the recurrence we are able to get is T(n) = T(\lceil n / 3 \rceil) + T(4n / 6) + O(n) \ge T(n / 3) + T(2n / 3) + O(n)T(n)=T(⌈n/3⌉)+T(4n/6)+O(n)≥T(n/3)+T(2n/3)+O(n) So, we will show it is \ge cn \lg n≥cnlgn.

\begin{aligned} T(m) & \ge c(m / 3)\lg (m / 3) + c(2m / 3) \lg (2m / 3) + O(m) \\ & \ge cm\lg m + O(m), \end{aligned}

T(m)

​

 

≥c(m/3)lg(m/3)+c(2m/3)lg(2m/3)+O(m)

≥cmlgm+O(m),

​

therefore, we have that it grows more quickly than linear.

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