Maximum subarray - returning container - c++

I am trying to implement version of Kadane's algorithm which returns subarray. Instead of just returning largest sum I would like to get container.
Based on wiki pseudocode I have prepared simple implementation.
However, I would like to avoid using indexes best_start and best_end.
I can not find a way to fill out vector step by step using push_back.
Could you give me suggestion how should I change logic of this program?
std::vector<int> maxSubArrayWiki(const std::vector<int>& nums) {
std::vector<int> out;
int max_sum = INT_MIN;
int sum = 0;
int i = 0;
int current_start, best_start, best_end = 0;
for(const auto& n : nums){
if(sum <= 0) {
current_start = i;
out = {};
sum = n;
}
else {
sum += n;
}
if(sum > max_sum) {
max_sum = sum;
best_start = current_start;
out.push_back(n);
best_end = i + 1;
}
i++;
}
// is it possible to avoid following? return std::vector<int>(&nums[best_start], &nums[best_end]);
return out;
}
out:
4 2 1
expected:
4 -1 2 1
http://coliru.stacked-crooked.com/a/8d120f8f0ab923a6

Related

I am trying to solve a question where i need array sum values but the code is not working I want to do something like this

Input:4
Input: 4 2 3 6
Output :29
Explanation:
sort the array and then add 2+3=5 now we have 5 4 6
Next we add 5+4=9 now we have 9 and 6
next we add 9+6=15 and finally we return 29 as solution which is sum of 5+9+15=29
I have to write a code for the same.
Here is my code:
#include<bits/stdc++.h>
using namespace std;
int main()
{
int num;
cin >> num;
vector<int> box;
for (int i = 0; i < num; i++)
{
int temp;
cin >> temp;
box.push_back(temp);
}
sort(box.begin(), box.end());
vector<int> res;
int sum = box[0];
if (box.size() == 1)
{
cout << sum;
}
else
{
for (int i = 1; i < box.size(); i++)
{
sum = sum + box[i];
res[i] = sum;
}
res[0] = 0;
int result = 0;
for (int i = 0; i < res.size(); i++)
{
result += res[i];
}
cout << result;
}
}
The code is not working properly and is running into errors can someone help..?
The question seems to be simple but I am unable to come up with and efficient solution for the same.
Given the sorted vector<int> box, the value you're looking for could be assigned to foo like this:
foo += box[0] + box[1];
foo += box[0] + box[1] + box[2];
foo += box[0] + box[1] + box[2] + box[3];
It's pretty clear that for a given zero based element index i it will be added to foo, size(box) - i times (with the exception of the first element which will be added size(box) - 1 times.) So you could very simply write the logic like this:
auto foo = box.front() * (size(box) - 1);
for(auto i = 1; i < size(box); ++i) {
foo += box[i] * (size(box) - i);
}
This obviously expects that there will be at least 2 elements in box (and if box is empty this is even undefined.) So obviously this needs to be wrapped in an if-check. Anyway, if you trust in accumulate to take your mutable lambda correctly you can just directly return this sum like this:
accumulate(next(cbegin(box)), cend(box), box.front() * (size(box) - 1), [i = size(box)](const auto lhs, const auto rhs) mutable { return lhs + rhs * --i; })
Live Example

backtrack value which were chosen

I have a c++ program which calculates maximum of a array provided no two consecutive elements of array can be taken.
For eg:
7 3 4 6 will result in a answer of 13 .Here we chose 7 and 6 for optimal maximum.
Here is my recursive program for it.
#include <iostream>
using namespace std;
int n;
int findMax(int x,int ar[])
{
if(x < n)
return max( ar[x]+findMax(x+2,ar), findMax(x+1,ar));
return 0;
}
int main(){
int ar[]={1,7,4,4,9,5,12};
n = sizeof(ar)/sizeof(ar[0]);
cout<<findMax(0,ar);
return 0;
}
However I am more interested in the indices of array which were chosen for this purpose by my program .How can I do that efficiently.
In the above program answer should be 1,4,6 as we chose 1st , 4th and 6th element of the array for the maximum.
Note: I am using 0 based indexing.
Thanks.
A recurrence relation R(k) for the maximum sum of the first k elements of the array (with no adjacent terms) is:
R(0) = 0, R(1) = max(0, a[0])
R(k) = max(a[k] + R(k-2), R(k-1))
This is almost the same recurrence you're using in your code, but in your code your function returns the maximum sum of elements k and later.
Anyway, you can build a table of these values in linear time using dynamic programming. In pseudocode:
R = new array of length n+1
R[0] = 0
R[1] = max(0, a[0])
for i = 2 .. n
R[i] = max(a[i-1] + R[i-2], R[i-1])
If you just want the maximum sum, you can return R[n]. But you can also reconstruct the indices easily. In pseudo-code:
indices(a, R):
result = new empty vector
i = n
while i > 0
if (i == 1 and a[0] > 0) or R[i] == a[i-1] + R[i-2]
result.push_back(i-1)
i -= 2
else
i -= 1
You'll have to reverse result to get the indices in increasing order.
This is definitely not the most effective solution but probably the one with least implementation effort:
#include <iostream>
#include <vector>
using namespace std;
int n;
pair<int, vector<int> > findMax(int x, int ar[])
{
if (x < n) {
pair<int, vector<int> > max1 = findMax(x + 2, ar);
const pair<int, vector<int> > max2 = findMax(x + 1, ar);
max1.first += ar[x];
max1.second.insert(max1.second.begin(), x);
return max1.first >= max2.first ? max1 : max2;
}
return make_pair(0, vector<int>());
}
ostream& operator<<(ostream &out, const vector<int> &vec)
{
const char *sep = "";
for (int value : vec) {
out << sep << value; sep = ", ";
}
return out;
}
int main()
{
int ar[]={1,7,4,4,9,5,12};
n = sizeof ar / sizeof *ar;
const pair<int, vector<int> > maxAr = findMax(0, ar);
cout << maxAr.first << '\n'
<< maxAr.second << '\n';
return 0;
}
Output:
28
1, 4, 6
Life demo on coliru
Thereby, the return value is extended with a std::vector<int> which holds the used indices beside of the current sum.
std::max() could be used if I would provide a suitable (overloadeded) operator<() for std::pair<int, std::vector<int> >. To not make things over-complicated, I just replaced std::max() by the resp. condition.
I think below code will satisfy your need.
#include<bits/stdc++.h>
using namespace std;
int n;
void findMax(int arr[], int in, pair< int, vector<int> > tempStore,
pair< int, vector<int> > &resStore) {
if(in >=n) {
if(resStore.first < tempStore.first) {
resStore.first = tempStore.first;
resStore.second = tempStore.second;
}
return;
}
findMax(arr, in+1, tempStore, resStore);
tempStore.first += arr[in];
tempStore.second.push_back(in);
findMax(arr, in+2, tempStore, resStore);
}
int main() {
int ar[]={1,7,4,4,9,5,12};
n = sizeof(ar)/sizeof(ar[0]);
pair< int, vector<int> > resStore, tempStore;
findMax(ar, 0,tempStore,resStore);
cout<<"Result Value: "<<resStore.first;
cout<<"\nResult Index:\n";
for(int i=0; i<resStore.second.size(); i++) {
cout<<resStore.second[i]<<" ";
}
return 0;
}

How to get the equilibrium index of an array in O(n)?

I have done a test in C++ asking for a function that returns one of the indices that splits the input vector in 2 parts having the same sum of the elements, for eg: for the vec = {1, 2, 3, 5, 4, -1, 1, 1, 2, -1}, it may return 3, because 1+2+3 = 6 = 4-1+1+1+2-1. So I have done the function that returns the correct answer:
int func(const std::vector< int >& vecIn)
{
for (std::size_t p = 0; p < vecin.size(); p++)
{
if (std::accumulator(vecIn.begin(), vecIn.begin() + p, 0) ==
std::accumulator(vecIn.begin() + p + 1, vecIn.end(), 0))
return p;
}
return -1;
}
My problem was when the input was a very long vector containing just 1 (or -1), the return of the function was slow. So I have thought of starting the search for the wanted index from middle, and then go left and right. But the best approach I suppose is the one where the index is in the merge-sort algorithm order, that means: n/2, n/4, 3n/4, n/8, 3n/8, 5n/8, 7n/8... where n is the size of the vector. Is there a way to write this order in a formula, so I can apply it in my function?
Thanks
EDIT
After some comments I have to mention that I had done the test a few days ago, so I have forgot to put and mention the part of no solution: it should return -1... I have updated also the question title.
Specifically for this problem, I would use the following algorithm:
Compute the total sum of the vector. This gives two sums (empty vector, and full vector)
for each element in order, move one element from full to empty, which means adding the value of next element from sum(full) to sum(empty). When the two sums are equal, you have found your index.
This give a o(n) algorithm instead of o(n2)
You can solve the problem much faster without calling std::accumulator at each step:
int func(const std::vector< int >& vecIn)
{
int s1 = 0;
int s2 = std::accumulator(vecIn.begin(), vecIn.end(), 0);
for (std::size_t p = 0; p < vecin.size(); p++)
{
if (s1 == s2)
return p;
s1 += vecIn[p];
s2 -= vecIn[p];
}
}
This is O(n). At each step, s1 will contain the sum of the first p elements, and s2 the sum of the rest. You can update both of them with an addition and a subtraction when moving to the next element.
Since std::accumulator needs to iterate over the range you give it, your algorithm was O(n^2), which is why it was so slow for many elements.
To answer the actual question: Your sequence n/2, n/4, 3n/5, n/8, 3n/8 can be rewritten as
1*n/2
1*n/4 3*n/4
1*n/8 3*n/8 5*n/8 7*n/8
...
that is to say, the denominator runs from i=2 up in powers of 2, and the nominator runs from j=1 to i-1 in steps of 2. However, this is not what you need for your actual problem, because the example you give has n=10. Clearly you don't want n/4 there - your indices have to be integer.
The best solution here is to recurse. Given a range [b,e], pick a value middle (b+e/2) and set the new ranges to [b, (b+e/2)-1] and [(b+e/2)=1, e]. Of course, specialize ranges with length 1 or 2.
Considering MSalters comments, I'm afraid another solution would be better. If you want to use less memory, maybe the selected answer is good enough, but to find the possibly multiple solutions you could use the following code:
static const int arr[] = {5,-10,10,-10,10,1,1,1,1,1};
std::vector<int> vec (arr, arr + sizeof(arr) / sizeof(arr[0]) );
// compute cumulative sum
std::vector<int> cumulative_sum( vec.size() );
cumulative_sum[0] = vec[0];
for ( size_t i = 1; i < vec.size(); i++ )
{ cumulative_sum[i] = cumulative_sum[i-1] + vec[i]; }
const int complete_sum = cumulative_sum.back();
// find multiple solutions, if there are any
const int complete_sum_half = complete_sum / 2; // suggesting this is valid...
std::vector<int>::iterator it = cumulative_sum.begin();
std::vector<int> mid_indices;
do {
it = std::find( it, cumulative_sum.end(), complete_sum_half );
if ( it != cumulative_sum.end() )
{ mid_indices.push_back( it - cumulative_sum.begin() ); ++it; }
} while( it != cumulative_sum.end() );
for ( size_t i = 0; i < mid_indices.size(); i++ )
{ std::cout << mid_indices[i] << std::endl; }
std::cout << "Split behind these indices to obtain two equal halfs." << std::endl;
This way, you get all the possible solutions. If there is no solution to split the vector in two equal halfs, mid_indices will be left empty.
Again, you have to sum up each value only once.
My proposal is this:
static const int arr[] = {1,2,3,5,4,-1,1,1,2,-1};
std::vector<int> vec (arr, arr + sizeof(arr) / sizeof(arr[0]) );
int idx1(0), idx2(vec.size()-1);
int sum1(0), sum2(0);
int idxMid = -1;
do {
// fast access without using the index each time.
const int& val1 = vec[idx1];
const int& val2 = vec[idx2];
// Precompute the next (possible) sum values.
const int nSum1 = sum1 + val1;
const int nSum2 = sum2 + val2;
// move the index considering the balanace between the
// left and right sum.
if ( sum1 - nSum2 < sum2 - nSum1 )
{ sum1 = nSum1; idx1++; }
else
{ sum2 = nSum2; idx2--; }
if ( idx1 >= idx2 ){ idxMid = idx2; }
} while( idxMid < 0 && idx2 >= 0 && idx1 < vec.size() );
std::cout << idxMid << std::endl;
It does add every value only once no matter how many values. Such that it's complexity is only O(n) and not O(n^2).
The code simply runs from left and right simultanuously and moves the indices further if it's side is lower than the other.
You want nth term of the series you mentioned. Then it would be:
numerator: (n - 2^((int)(log2 n)) ) *2 + 1
denominator: 2^((int)(log2 n) + 1)
I came across the same question in Codility tests. There is a similar looking answer above (didn't pass some of the unit tests), but below code segment was successful in tests.
#include <vector>
#include <numeric>
#include <iostream>
using namespace std;
// Returns -1 if equilibrium point is not found
// use long long to support bigger ranges
int FindEquilibriumPoint(vector<long> &values) {
long long lower = 0;
long long upper = std::accumulate(values.begin(), values.end(), 0);
for (std::size_t i = 0; i < values.size(); i++) {
upper -= values[i];
if (lower == upper) {
return i;
}
lower += values[i];
}
return -1;
}
int main() {
vector<long> v = {-1, 3, -4, 5, 1, -6, 2, 1};
cout << "Equilibrium Point:" << FindEquilibriumPoint(v) << endl;
return 0;
}
Output
Equilibrium Point:1
Here it is the algorithm in Javascript:
function equi(arr){
var N = arr.length;
if (N == 0){ return -1};
var suma = 0;
for (var i=0; i<N; i++){
suma += arr[i];
}
var suma_iz = 0;
for(i=0; i<N; i++){
var suma_de = suma - suma_iz - arr[i];
if (suma_iz == suma_de){
return i};
suma_iz += arr[i];
}
return -1;
}
As you see this code satisfy the condition of O(n)

Finding Mode of Vector of Ints in C++

So I'm trying to make a basic program to learn the basics of C++, I'm generating 100 random numbers from 0 to 100 and storing them in a vector, I am then displaying the sum, mean, median, mode, high and low of the vector. I have everything else done except the mode which is where I get stuck. Here is the code I have so far.
int modeFunction()
{
numMode = 0;
count = 0;
for (int n = 0; n < 100; n++)
{
for (int y = 0; y < 100; y++)
{
if (numVector.at(y) == numVector.at(n))
{
numMode = numVector.at(y);
count++;
}
}
}
return numMode;
}
After that I get stuck because in my mind that should work but it doesn't. It just out puts the last number, usually 100. Any help would be much appreciated.
since all the values are between 0 and 100, you can find the mode efficiently with a histogram:
std::vector<int> histogram(101,0);
for( int i=0; i<100; ++i )
++histogram[ numVector[i] ];
return std::max_element( histogram.begin(), histogram.end() ) - histogram.begin();
Since mode is the number that occurs most frequent you shouldn't change numMode unless the new number's count is greater than numMode's count.
EDIT: To clarify, you need to keep a separate count for the current element and the current number that you think is the mode. Ideally, setting newMode to the first element is a good approach.
In addition, mode isn't necessary unique (i.e. "1 1 2 2"). You may want to keep that in mind if you care about that.
newMode = element[0]
modeCount = # of occurrence of newMode
for ( i-th element from [1 to end] ) {
tmpCount = # of occurrence of element[i]
if tmpCount > modeCount {
newMode = element[i]
modeCount = tmpCount
}
}
bmcnett's approach works great if number of elements are small enough. If you have large number of elements but the all element value are with in a small range using map/hashmap works well. Something like
typedef std::pair<int, int> mode_pair;
struct mode_predicate
{
bool operator()(mode_pair const& lhs, mode_pair const& rhs)
{
return lhs.second < rhs.second;
}
};
int modeFunction()
{
std::map<int, int> mode_map;
for (int n = 0; n < 100; n++)
mode_map[numVector[n]]++;
mode_predicate mp;
return std::max_element(mode_map.begin(), mode_map.end(), mp)->first;
}
Your algorithm is wrong - it outputs the last number in the array because that's all it can ever do. Every time the number at index y matches the number at index n you overwrite the results for the previous n. Since you're using the same loop conditions, y and n are always the same at at least one point in the nested loop for each possible n value - and you'll always end up with numMode being numVector.at(99).
You need to change your algorithm to save the count for each n index along the way (or at least which n index ended up with the greatest count), so that you can know at the end of the n loop which entry occured the most times.
Alternative solutions. Note: untested.
int mode1(const std::vector<int>& values)
{
int old_mode = 0;
int old_count = 0;
for(size_t n=0; n < values.size(); ++n)
{
int mode = values[n];
int count = std::count(values.begin()+n+1, values.end(), mode);
if(count > old_count)
{
old_mode = mode;
old_count = count;
}
}
return old_mode;
}
int mode2(const std::vector<int>& values)
{
return std::max_element(values.begin(), values.end(), [](int value)
{
return std::count(values.begin(), values.end(), value);
});
}
Mode means a number with highest frequency. The logic should be -
//Start of function
int mode = 0, globalCount = 0 ;
// Start of outer for loop
for i = 0 to length - 1
int localCount = 0
// Start of inner for loop
for j = 0 to length - 1
if vec[i] == vec[j]
++localCount
// End of Inner for loop
if ( localCount > globalCount )
globalCount = localCount
mode = vec[i]
// End of outer for loop
if globalCount > 1 // This should be checked whether vec has repetitions at all
return mode
else
return 0
// End of function
int number = array_list[0];
int mode = number;
int count = 1;
int countMode = 1;
for (int i=1; i<size_of_list; i++)
{
if (array_list[i] == number)
{ // count occurrences of the current number
count++;
if (count > countMode)
{
countMode = count; // mode is the biggest ocurrences
mode = number;
}
}
else
{ // now this is a different number
if (count > countMode)
{
countMode = count; // mode is the biggest ocurrences
mode = number;
}
count = 1; // reset count for the new number
number = array_list[i];
}
}

How can we find second maximum from array efficiently?

Is it possible to find the second maximum number from an array of integers by traversing the array only once?
As an example, I have a array of five integers from which I want to find second maximum number. Here is an attempt I gave in the interview:
#define MIN -1
int main()
{
int max=MIN,second_max=MIN;
int arr[6]={0,1,2,3,4,5};
for(int i=0;i<5;i++){
cout<<"::"<<arr[i];
}
for(int i=0;i<5;i++){
if(arr[i]>max){
second_max=max;
max=arr[i];
}
}
cout<<endl<<"Second Max:"<<second_max;
int i;
cin>>i;
return 0;
}
The interviewer, however, came up with the test case int arr[6]={5,4,3,2,1,0};, which prevents it from going to the if condition the second time.
I said to the interviewer that the only way would be to parse the array two times (two for loops). Does anybody have a better solution?
Your initialization of max and second_max to -1 is flawed. What if the array has values like {-2,-3,-4}?
What you can do instead is to take the first 2 elements of the array (assuming the array has at least 2 elements), compare them, assign the smaller one to second_max and the larger one to max:
if(arr[0] > arr[1]) {
second_max = arr[1];
max = arr[0];
} else {
second_max = arr[0];
max = arr[1];
}
Then start comparing from the 3rd element and update max and/or second_max as needed:
for(int i = 2; i < arr_len; i++){
// use >= n not just > as max and second_max can hav same value. Ex:{1,2,3,3}
if(arr[i] >= max){
second_max=max;
max=arr[i];
}
else if(arr[i] > second_max){
second_max=arr[i];
}
}
The easiest solution would be to use std::nth_element.
You need a second test:
for(int i=0;i<5;i++){
if(arr[i]>max){
second_max=max;
max=arr[i];
}
else if (arr[i] > second_max && arr[i] != max){
second_max = arr[i];
}
}
Your original code is okay, you just have to initialize the max and second_max variables. Use the first two elements in the array.
Here you are:
std::pair<int, int> GetTwoBiggestNumbers(const std::vector<int>& array)
{
std::pair<int, int> biggest;
biggest.first = std::max(array[0], array[1]); // Biggest of the first two.
biggest.second = std::min(array[0], array[1]); // Smallest of the first two.
// Continue with the third.
for(std::vector<int>::const_iterator it = array.begin() + 2;
it != array.end();
++it)
{
if(*it > biggest.first)
{
biggest.second = biggest.first;
biggest.first = *it;
}
else if(*it > biggest.second)
{
biggest.second = *it;
}
}
return biggest;
}
Quickselect is the way to go with this one. Pseudo code is available at that link so I shall just explain the overall algorithm:
QuickSelect for kth largest number:
Select a pivot element
Split array around pivot
If (k < new pivot index)
perform quickselect on left hand sub array
else if (k > new pivot index)
perform quickselect on right hand sub array (make sure to offset k by size of lefthand array + 1)
else
return pivot
This is quite obviously based on the good old quicksort algorithm.
Following this algorithm through, always selecting element zero as the pivot every time:
select 4th largest number:
1) array = {1, 3, 2, 7, 11, 0, -4}
partition with 1 as pivot
{0, -4, _1_, 3, 2, 7, 11}
4 > 2 (new pivot index) so...
2) Select 1st (4 - 3) largest number from right sub array
array = {3, 2, 7, 11}
partition with 3 as pivot
{2, _3_, 7, 11}
1 < 2 (new pivot index) so...
3) select 1st largest number from left sub array
array = {2}
4) Done, 4th largest number is 2
This will leave your array in an undefined order afterwards, it's up to you if that's a problem.
Step 1. Decide on first two numbers.
Step 2. Loop through remaining numbers.
Step 3. Maintain latest maximum and second maximum.
Step 4. When updating second maximum, be aware that you are not making maximum and second maximum equal.
Tested for sorted input (ascending and descending), random input, input having duplicates, works fine.
#include <iostream>
#define MAX 50
int GetSecondMaximum(int* data, unsigned int size)
{
int max, secmax;
// Decide on first two numbers
if (data[0] > data[1])
{
max = data[0];
secmax = data[1];
}
else
{
secmax = data[0];
max = data[1];
}
// Loop through remaining numbers
for (unsigned int i = 2; i < size; ++i)
{
if (data[i] > max)
{
secmax = max;
max = data[i];
}
else if (data[i] > secmax && data[i] != max/*removes duplicate problem*/)
secmax = data[i];
}
return secmax;
}
int main()
{
int data[MAX];
// Fill with random integers
for (unsigned int i = 0; i < MAX; ++i)
{
data[i] = rand() % MAX;
std::cout << "[" << data[i] << "] "; // Display input
}
std::cout << std::endl << std::endl;
// Find second maximum
int nSecondMax = GetSecondMaximum(data, MAX);
// Display output
std::cout << "Second Maximum = " << nSecondMax << std::endl;
// Wait for user input
std::cin.get();
return 0;
}
Other way to solve this problem, is to use comparisons among the elements. Like for example,
a[10] = {1,2,3,4,5,6,7,8,9,10}
Compare 1,2 and say max = 2 and second max = 1
Now compare 3 and 4 and compare the greatest of them with max.
if element > max
second max = max
element = max
else if element > second max
second max = element
The advantage with this is, you are eliminating two numbers in just two comparisons.
Let me know, if you have any problem understanding this.
Check this solution.
max1 = a[0];
max2 = a[1];
for (i = 1; i < n; i++)
{
if (max1 < a[i])
{
max2 = max1;
max1 = a[i];
}
if (max2 == max1) max2 = a[i + 1];
if (max2 == a[n])
{
printf("All numbers are the same no second max.\n");
return 0;
}
if (max2 < a[i] && max1 != a[i]) max2 = a[i];
}
Here is something which may work ,
public static int secondLargest(int[] a){
int max=0;
int secondMax=0;
for(int i=0;i<a.length;i++){
if(a[i]<max){
if(a[i]>secondMax){
secondMax=a[i];
}
continue;
}
if(a[i]>max){
secondMax=max;
max=a[i];
}
}
return secondMax;
}
The upper bound should have be n+log2⁡n−2, but it bigger than O(n) in case of random selection algorithm, but in worst case it much smaller. The solution might be
build a tree like to find the MAX element with n - 1 comparisons
max(N)
/ \
max(N/2) max(N/2)
remove the MAX and find the MAX again log2n - 1 comparison
PS. It uses additional memory, but it faster than random selection algorithm in worst case.
Can't we just sort this in decreasing order and take the 2nd element from the sorted array?
How about the following below.
make_heap is O(n) so this is efficient and this is 1-pass
We find the second max by taking advantage that it must be one of the heap children of the parent, which had the maximum.
#include <algorithm>
#include <iostream>
int main()
{
int arr[6]={0,1,2,3,4,5};
std::make_heap(arr, arr+6);
std::cout << "First Max: " << arr[0] << '\n';
std::cout << "Second Max: " << std::max(arr[1], arr[2]) << '\n';
return 0;
}
int max,secondMax;
max=secondMax=array[0];
for(int i=0;i<array.length;i++)
{ if(array[i]>max) { max=array[i]; }
if(array[i]>secondMax && array[i]<max) {
secondMax=array[i]; }
}
#include <iostream>
using namespace std;
int main() {
int max = 0;
int sec_Max = 0;
int array[] = {81,70,6,78,54,77,7,78};
int loopcount = sizeof(array)/sizeof(int);
for(int i = 0 ; i < loopcount ; ++i)
{
if(array[i]>max)
{
sec_Max = max;
max = array[i];
}
if(array[i] > sec_Max && array[i] < max)
{
sec_Max = array[i];
}
}
cout<<"Max:" << max << " Second Max: "<<sec_Max<<endl;
return 0;
}
// Set the first two different numbers as the maximum and second maximum numbers
int max = array[0];
int i = 1;
//n is the amount of numbers
while (array[i] == max && i < n) i++;
int sec_max = array[i];
if( max < sec_max ) {
tmp = sec_max;
sec_max = max;
max = tmp;
}
//find the second maximum number
for( ; i < n; ++i ) {
if( array[i] > max ) {
sec_max = max;
max = array[i];
} else if( array[i] > sec_max && array[i] != max ) {
sec_max = array[i];
}
}
printf("The second maximum number is %d\n", sec_max);