Question: Consider the following pseudocode. Algorithm multisearch ( data, target ) : data: a list of arrays of integers; in each array the integers are sorted

Consider the following pseudocode.
Algorithm multisearch( data, target ):
data: a list of arrays of integers; in each array the
integers are sorted in ascending order; the list
'data' has a cursor.
target: an integer
// Iterate over the arrays in the list 'data' using
// its cursor:
data.gofirst ()
found = false
while( Idata.after() and ! found){
// search for integer 'target' in A
found = binarySearch (data. currentItem (), target)
data. goForth()
Using the active operation approach to timing analysis determine the time complexity of this pseu-
docode in the worst case. Assume that the list of arrays contains n arrays and that each array has
exactly m items in it. Be sure to clearly identify the line that is the active operation. Show all your
work and express your final answer in Big-O notation (because we are doing a worst-case analysis).
 Consider the following pseudocode. Algorithm multisearch( data, target ): data: a

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