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Brrunno [24]
3 years ago
7

What is an effective way to display calculations in a Word document

Computers and Technology
2 answers:
Zigmanuir [339]3 years ago
6 0
Is a way to minimize technical problems with your computer. A. Downloading programs from unknown or unverified websites. .
B. Saving work infrequently. C. Avoiding use of disk cleanup tools. D. Following proper shutdown processes
DanielleElmas [232]3 years ago
5 0
On the main Ribbon, click on Insert tab, in the Symbols Group click the arrow under Equations, and then Insert new equation.
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Why is computer science hardware needed to solve problems with computers?
dybincka [34]

Answer:

Computer science is the study of problems, problem-solving, and the solutions that come out of the problem-solving process. Given a problem, a computer scientist's goal is to develop an algorithm, a step-by-step list of instructions for solving any instance of the problem that might arise. ... Algorithms are solutions.

Explanation:

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oksano4ka [1.4K]

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yea

Explanation:

3 0
3 years ago
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Consider the recursive method myprint in this code snippet: public void myprint(int n) { if (n < 10) { system.out.print(n); }
valkas [14]
What the method does, is it takes the rightmost decade and prints it, then divides by 10 and repeats. Effectively this means the number is printed backwards, so the output is 128.
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3 years ago
What do you like most about brainly?
Natali5045456 [20]

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4 0
3 years ago
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Suppose that a computer can run an algorithm on a problem of size 1,024 in time t. We do not know the complexity of the algorith
Setler79 [48]

Answer:

Time Complexity of Problem - O(n)

Explanation:

When n= 1024 time taken is t. on a particular computer.

When computer is 8 times faster in same time t , n can be equal to 8192. It means on increasing processing speed input grows linearly.

When computer is 8 times slow then with same time t , n will be 128 which is (1/8)th time 1024.

It means with increase in processing speed by x factor time taken will decrease by (1/x) factor. Or input size can be increased by x times. This signifies that time taken by program grows linearly with input size n. Therefore time complexity of problem will be O(n).

If we double the speed of original machine then we can solve problems of size 2n in time t.

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3 years ago
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