// NOTE: I have useds comments in pseudocode for illustration
you can remove it.
The Naive Approach:
We can generate all possible triplets and compare the sum if its
equal to zero. THe Naive approach will require 3 loops having time
complexity of
O(N^3)
Optimized solution
We can optimize the solution if we sort the given input, Sorting
gives us advantage of ordering of elements.
Approach:
Sort the input.
Iterate over loop on input
Fix the first element as a = A[i]
Iterate over loop again to find b and c such that a + b + c =
0
as given in this pseudocode
sort(input); // O(NlogN)
for i=0 to n-2 do // O(N)
// fix first element and initialize two
varailbes to find b and c
a = input[i];
begin = i+1; // left index
end = n-1; // right
index
while (begin < end) do // O(N)
b = input[begin]
c = input[end];
// if we found the sum print
the values
if (a + b + c == 0) then
print
(a,b,c)
// increase
left index
begin =
begin + 1;
// decrease
right index // do this to find remaining pairs
end = end -
1;
// Our goal here is to get sum
as 0, so we can reduce the value of c by decreasing right
index
else if (a + b + c > 0)
then
end = end -
1;
// a + b + c < 0, we need
to increase the total value, increase left index
else
begin =
begin + 1;
end
end
total complexity O(NlogN) + O(N)* O(N) = O(N^2)
Algorithm correctness:
For given input we are sorting the input before processing.
Suppose we have a solution a + b + c = 0 and a < b < c
now a is fixed in first loop, and we are finding b and c.
We are using left index for b and right index for c
Case 1: if a + b + c > 0 then there will be no solution if we
increase right index further as sum will always be greater than
0
Case 2: if a + b + c < 0 then there will be no solution if we
dcrease left index further as sum will always be less than 0
Case 3: if a + b + c = 0, we found the solution. as total sum is
equal to 0
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