I am writing a function that takes in a pointer that points to an array that is dynamically allocated, in addition to the length of the array. I am trying to find the second smallest sum of it's contiguous sub arrays.
I have been writing code to calculate the second smallest value in an array, and also a piece of code that calculates the sum of all the contiguous sub arrays. I was hoping that I would be able to "merge" these two pieces together to get what my desired end result, but I am getting stuck. I would really appreciate any help. Thank you.
#include <iostream>
using namespace std;
int secondSmallestSum(int *numbers,int length)
{
//Below shows the sum of all contiguous sub arrays.
for(i = 0; i<= length; ++i)
{
int sum = 0;
for(int j = i; j <= length; ++j)
{
sum+=*(numbers+j);
}
}
//Below calculates the second smallest element in an array
int smallest, secondsmallest;
if (*numbers < *(numbers+1))
{
smallest = *numbers;
secondsmallest = *(numbers+1) ;
}
else {
smallest = *(numbers+1) ;
secondsmallest = *(numbers) ;
}
for (i = 2; i < length; i++) {
if (*(numbers+i) < smallest)
{
secondsmallest = smallest;
smallest = *(numbers+i);
}
else if (*(numbers+i) < secondsmallest)
{
secondsmallest = *(numbers+i);
}
}
}
You can do something like this (of course you need to add range checking).
#include <iostream>
#include <vector>
#include <algorithm>
int main(int argc, char** argv) {
std::vector<int> v{3, 1, 4, 5, 6, 2};
std::nth_element(v.begin(), v.begin() + 1, v.end());
std::cout << "The second smallest element is " << v[1] << "\n";
}
Note: using nth_element will change the order of the elements in the vector.
Correct me if I understand you wrong,
by looking at " find the second smallest sum of it's contiguous sub arrays " and the code you posted, I'm assuming your logic is
Actually there is a well known algorithm, Kadane's algorithm , that serves a similar purpose (only Kadane's finds THE smallest, not second smallest). You may want to Google it to find more.
Back to your question, I believe the following code does what you want. The code is a variant of Kadane's algorithm.
#include <climits> // for INT_MAX
int findSecondMinOfContiguousSubarray(int arr[], int n)
{
// to store the minimum value that is ending
// up to the current index
int min_ending_here = INT_MAX;
int min = INT_MAX; // absolute min
int min_second = INT_MAX - 1; // second min <- this is what you want
// traverse the array elements
for (int i = 0; i<n/*it is <, not <=*/; i++)
{
// if min_ending_here > 0, then it could not possibly
// contribute to the minimum sum further
if (min_ending_here > 0)
min_ending_here = arr[i];
// else add the value arr[i] to min_ending_here
else
min_ending_here += arr[i];
// update min and min_second
if (min_second > min_ending_here) {
if (min > min_ending_here) {
min_second = min;
min = min_ending_here;
}
else {
min_second = min_ending_here;
}
}
}
return min_second;
}
BTW, I think your code (the piece under //Below shows the sum of all contiguous sub arrays.) can not find all contiguous sub arrays.
An example, arr={1, 2, 3}, your code only consider {1,2,3}, {2,3} and {3} as contiguous sub arrays, while in fact {1,2} should also be considered.
Brutal force o(n^2)
complexity (in C++ style not C style):
template<typename Container, typename Func>
void forEachSubrange(Container &container, Func &&f)
{
for (auto subBegin = container.begin(); subBegin != container.end(); ++subBegin)
{
auto subEnd = subBegin;
do {
++subEnd;
f(subBegin, subEnd);
} while (subEnd != container.end());
}
}
int secondSmallestSubrangeSum(const std::vector<int> &a)
{
int firstSum = 0; // empty sub range has zero sum
int secondSum = 0;
forEachSubrange(a, [&firstSum, &secondSum](auto b, auto e) {
auto sum = std::accumulate(b, e, 0);
if (sum < firstSum) {
secondSum = firstSum;
firstSum = sum;
} else if (sum < secondSum) {
secondSum = sum;
}
});
return secondSum;
}
I'm sure it is possible to achieve o(n)
.
https://wandbox.org/permlink/9cplKBIpfZBPpZ27 or more talkative https://wandbox.org/permlink/X21TdH6xtbMLpV19
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