Answer and Explanation:
To calculate Big O, go through each line of code and determine O(!), O(n) and return your calculation.
For example,
In O (5 +6n), where 6 5 represent five instances of O(1), and 6 represent the 6 O(n).
We compute the time complexity of the algorithm. We get the result, just an estimation. In given algorithms, run time in milliseconds has been provided, such as in T (1) algorithm process in 512 milliseconds and T(2) algorithms process 8129 milliseconds. But big O notation not measured in milliseconds. Information given is not enough to calculate the big O notation.
Answer:
function moves(a) {
var left = 0;
var right = a.length-1;
var count = 0;
while (left < right) {
if(a[left] % 2 == 0) {
left++;
continue;
}
if(a[right] % 2 == 1) {
right--;
continue;
}
var temp = a[left];
a[left] = a[right];
a[right] = temp;
left++;
right--;
count++;
}
return count;
}
var a = [4,13,10,21,20];
console.log('Number of moves: ' + moves(a));
console.log('Sorted array: ' + a);
Explanation:
Answer:
D. Click the View tab, select Handout Master, and choose the number of columns in the Slides Per Page drop-down list.
Explanation: correctEdg
PErfect! 100% Absolutely beautiful.
