C. the database as in the name is the base of everything.
Answer:
Merge sort is sort, which contains the same elements in the array to maintain original positions concerning each other. Complexity of sort is O (nLogn) and runtime is O(nlogn)
Explanation:
Estimate time spent on presorting an array 101 element in merge and binary search, two schemes can be used in the first scheme if 101 items in sequential search then use the complexity of O(n). In the second scheme covert, the list into an array then sort an array with the complexity of O(n log n) and fetch the 101 elements.
Merge 101 elements; presorted sub-array n items have to compare the top times in sub-array and choose the maximum item and place it in a sorted array. Time for merging is proportional to ( k-1) n.
Suppose the processing time of the merger is c.(k-1) .n then scale factor has the same value.
The processing time of a sorting array is a recurrence equation.
T(n) = 3T (n/3) + 2 cn
Similarly this implement for array of 105 element.
Answer:
data member as an array named stack of size 50 to store certain elements Three member functions i.e. push(type) to add elements in the Stack, pop() to ...
The application is electricity in the home. Every light bulb, appliance,
and wall-outlet in your house is in parallel with all the others.
If any electrical devices in your house were in series, then whenever
you turned any of those off, they would ALL go off.
Also, the ones that needed the least power, like a night light, would get
the most, and the ones that needed the most power, like the refrigerator,
would get the least.
