Worst case running time Describe the worst case running time of the following code in “big-Oh" notation in terms of the variable n. You should give the tightest bound , possible.   (a) sum = 0;       for( i = 1; i < n; i++ ) for( j = 1; j < i * i; j++ ) if( j % i == 0 ) for( k = 0; k < j; k++ ) sum++;

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Time Complexity

In computer science, the computational complexity that is measured in terms of time is referred to as time complexity that defines how long it takes a computer to execute an algorithm. An algorithm's time complexity is measured by the the amount of time required to execute each statement of code in the algorithm. If a statement is set to execute repetitively, the number of times it will be N multiplied by the time it takes to run that function each time is equal .