a) O(1)
b) O(n)
c) O(logn)
d) Either O(1) or O(n)
Answer: d
Explanation: Depending on whether the array is full or not, the complexity in dynamic array varies. If you try to insert into an array that is not full, then the element is simply stored at the end, this takes O(1) time. If you try to insert into an array which is full, first you will have to allocate an array with double the size of the current array and then copy all the elements into it and finally insert the new element, this takes O(n) time.
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What is the output of the given code?
counter=1
if counter<=5
puts (counter)
counter=counter+1What is the output of the given code?
if(a==10 && b=9)
print “true”
else
print “false”
endWhich of the following are used for comparison?
What is the output of the given code?
a=10
b=9
if(a>b)
print (“a greater than b”)
else
print “Not greater”
endAssignment operator is also known as relational operator.
What is the output of the given code?
a=”string”
b=”strings”
if(a==b)
print (“a and b are same”)
else
print “Not same”
endWhat is the output of the given code?
test_1 = 17 > 16
puts(test_1)
test_2 = 21 <= 30
puts(test_2)
test_3 = 9 >= 9
puts(test_3)
test_4 = -11 > 4
puts(test_4)
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