Memory of the computer is measured by the following units:
Unit
1 Kilobyte (KB) 1 KB = 1024 Bytes
2 Megabyte (MB) 1 MB = 1024 KB
3 GigaByte (GB) 1 GB = 1024 MB
4 TeraByte (TB) 1 TB = 1024 GB
<h3>In what unit is the computer memory said to be measured?</h3>
Computer storage and memory is one that can be measured by the use of units such as megabytes (MB) and gigabytes (GB) as well as others.
Hence, Memory of the computer is measured by the following units:
Unit
1 Kilobyte (KB) 1 KB = 1024 Bytes
2 Megabyte (MB) 1 MB = 1024 KB
3 GigaByte (GB) 1 GB = 1024 MB
4 TeraByte (TB) 1 TB = 1024 GB
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A callout is a type of text box that also includes a line for pointing to any location on the document. A callout appears under the SHAPES <span>menu of the word processing program. The answer that completes this statement is the word "shapes". Hope this answers your question. </span>
Answer: Your non-work related use of a laptop could increase vulnerability.
Explanation: Vulnerability is one of the most important and stressed out section in IT, so it's best to decrease that possibility whenever!
I hope this helps!
Answer: True
Explanation:
Subset sum problem and Knapsack problem can be solved using dynamic programming.
In case of Knapsack problem there is a set of weights associative with objects and a set of profits associated with each object and a total capacity of knapsack let say C. With the help of dynamic programming we try to include object's weight such that total profit is maximized without fragmenting any weight of objects and without exceeding the capacity of knapsack, it is also called as 0/1 knapsack problem.
Similar to knapsack problem, in subset sum problem there is set of items and a set of weights associated with the items and a capacity let say C, task is to choose the subset of items such that total sum of weights associated with items of subset is maximized without exceeding the total capacity.
On the basis of above statements we can say that subset sum problem is generalization of knapsack problem.
First four tasks = 8 seconds
Next four tasks = 8 seconds
Last two tasks = 8 seconds
The total number of seconds to perform all tasks is 24 seconds.
The throughput, which would be the number of tasks per second, is calculated by taking the number of tasks and dividing by the number of seconds:
10 tasks / 24 seconds = 5/12 or 0.4167 tasks per second
