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Tpy6a [65]
2 years ago
8

A ____ partition contains the data necessary to restore a hard drive back to its state at the time the computer was purchased an

d is designed to be used only if the computer malfunctions
Computers and Technology
2 answers:
Oxana [17]2 years ago
8 0
The answer is back up
maria [59]2 years ago
6 0

Answer: Recovery partition

Explanation:

Recovery partition is a small partition on your hard drive that can help you restore your Windows or troubleshoot system issues.

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Explanation:

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2 years ago
9. Which of the following are true for all regular languages and all homomorphisms? (a) h (L1 ∪ L2)= h (L1) ∩ h (L2). (b) h (L1
mixer [17]

Answer:

h (L1 ∪ L2)= h (L1) ∩ h (L2).

This is true.

There will be w ∈  (L1 ∪ L2) for any s ∈ h (L1 ∪ L2) in such a way that s=h(w)

we can assume that w ∈ L1

So In this case h(w) ∈ L (S1). Hence s ∈ L(S1)

for any s ∈ h (L1) U h(L2)

We can assume that s ∈ L(S1)

There exists w ∈ L1 such that s= h(w)

In this case it is w ∈ L1 U L2 as well.

Hence , s ∈ h (L1 U L2)

Explanation

consider  = 0,1 and  = a,b and h(0) = a , h(1) = ab

(a) Consider L1 = 10,01 and L2 = 00,11

   Now L1 ∪ L2 = 00,01,10,11

   h (L1 ∪ L2) = h(00) , h(01) , h(10) , h(11) = h(0)h(0) , h(0)h(1) , h(1)h(0) , h(1)h(1)

  = aa, aab , aba , abab

Hence h (L1 ∪ L2) = aa, aab , aba , abab .

Here h (L1) = h(10) , h(01) = h(1)h(0) , h(0)h(1) = aba , aab

Hence h (L1) = aba , aab .

Here h (L2) = h(00) , h(11) = h(0)h(0), h(1)h(1) = aa, abab

Hence h(L2) = aa, abab.

Finally Hence , h (L1 ∪ L2)= h (L1) ∩ h (L2).

5 0
2 years ago
Java Programming home > 1.14: zylab training: Interleaved input/output Н zyBooks catalog Try submitting it for grading (click
Andru [333]

Answer:

The following are the code to this question:

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System.out.println(x);  //use print method to print value.

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In the given question, it simplifies or deletes code in the 11th line. This line has a large major statement.  

In the case, the tests fail because only 1 line of output is required by the tester, but two lines are obtained instead.

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2 years ago
To gain experience of using and combing different sorting algorithms: election sort, insertion sort, merge sort, and quick sort.
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Answer:

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Sorting algorithms: insertion sort, shellsort, heapsort, mergesort, quicksort, bubblesort

At the very least, "general purpose" sorting algorithms require O(n log n) comparisons

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