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1. Give the computational Complexity of the following piece of code in Big-Oh notation and explainhow you arrived at your result: for (i=1; i
1. Give the computational Complexity of the following piece of code in Big-Oh notation and explainhow you arrived at your result:
for (i=1; i<=2*n; i++){
for(j=0; j<2; j++){
//constant number of operations
}
}
2. Consider the problem of determining if a bit string of length n contains two consecutive zeros. The basic operation is to examine a position in the string to see if it is a 0 or a 1. For n=3, give an adversary strategy to force any algorithm to examine every bit.
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