Given an array of integers, find a maximum sum of non-adjacent elements. For example, inputs [1, 0, 3, 9, 2,-1] should return 10 (1 + 9).
You search for the maximum value M1 in linear time.
You search for the second non-adjacent maximum value M2 in linesr time.
S1 = M1 + M2
If M1 is the first or the last element, the answer is S1.
Otherwise you add the two values adjacent to M1:
S2 = A1 + A2
The solution is then max(S1, S2)
Ok, ShreePool is interested concretely in S1. For other people who might be interested, the only other possible pair of non-adjacent elements which could have a bigger sum are precisely A1 and A2, as if one of them wasn't, it wouldn't be adjacent to M1 and it would have been a candidate for S1.
Now, to find M1 and M2 in linear time, there are several options. I write one which requires only one pass.
Precondition: size >= 3;
function nonAdjacentMaxPair(a: Integer [], size: Integer): Integer [] is
var first: Integer;
var second: Integer;
var third: Integer;
var maxs: Integer [2];
var i: Integer;
first := 0;
second := 1;
third := 2;
if (A [1] > A [0]) then
first := 1;
second := 0;
endif;
if (A [2] > A [1]) then
third := second;
second := 2;
if (A [2] > A [0]) then
second := first;
first := 2;
endif;
endif;
i := 3;
while (i < size) do
if (A [i] > A [third]) then
third := i;
if (A [i] > A [second]) then
third := second;
second := i;
if(A [i] > A [first]) then
second := first;
first := i;
endif;
endif;
endif;
i := i + 1;
endwhile;
maxs [0] := first;
maxs [1] := second;
if (second = first + 1 or second = first - 1) then
maxs [1] := third;
endif;
return maxs;
endfunction;
And S1 is A [maxs [0]] + A [maxs [1]]
Hope this is what you needed.
For the record: A1 + A2 is A [maxs [0] - 1] + A [maxs [0] + 1], if maxs [0] is neither 0 nor size.
Let BEST_SUM(i)
be the maximum sum of non-adjacent elements at positions <= i
.
When i<0, BEST_SUM(i) = 0
Otherwise: BEST_SUM(i) = max( BEST_SUM(i-1), BEST_SUM(i-2)+a[i] )
BEST_SUM(a.length-1)
is your answer.
NOTE: This is the max sum of non-adjacent elements, like you asked for. Looking at your code it looks like you may mean the best sum of two non-adjacent elements. The would be different, and easier.
As far as I understand your problem:
int max = Integer.MIN_VALUE;
for(int i = 0; i < a.length - 2; ++i) {
for(int j = i + 2; j < a.length; ++j) {
max = Math.max(max, a[i] + a[j]);
}
}
This algorithm has complexity of O(n ²).
Sketch for a faster algorithm: You could sort the array values with its indices in descending order. Than you can search for the highest pair which has non-adjacent indices. This algorithm takes O(n log n) steps.
package abc;
public class Solution {
// int[] A{1,4,5,2,5,4,2}
public int nonAdjacentMaxSumRepeated(int[] inpArray) {
int[] a = new int[inpArray.length];
int k=0;
for(int i=0,j=0;i<inpArray.length;i++) {
j=i+1;
//System.out.println("i="+i);
//System.out.println("j="+j);
System.out.println(inpArray[i]+","+inpArray[j]);
a[k]=inpArray[i]+inpArray[j];k++;
i=j;
}
int x=0;
for (int i : a) {
x = Math.max(x, i);
}
return x;
}
public static void main(String[] args) {
System.out.println(
new Solution().nonAdjacentMaxSumRepeated(new int[] {1,3,5,2,6,4,2,7})
);
}
}