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  1. Prepare
  2. Algorithms
  3. Dynamic Programming
  4. The Maximum Subarray
  5. Discussions

The Maximum Subarray

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491 Discussions

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  • amitv28242
     + 0 comments

    java8

    java 8 beginner way

int sum=0;

   int max=arr.get(0);
   for(int i=0;i<arr.size();i++){
       sum+=arr.get(i);
       max=max>sum?max:sum;

       if(sum<0){
           sum=0;
         }

   }
   Collections.sort(arr);
   int sumo=0;
   for(int i=0;i<arr.size();i++){
       if(arr.get(i)>0){
           sumo+=arr.get(i);
       }
   }
       List<Integer> li=new ArrayList<>();
       li.add(max);
       if(arr.get(arr.size()-1)<0){
       li.add(arr.get(arr.size()-1));
       }
       else{
           li.add(sumo);
       }
       return li;
}

  • dehaka
     + 0 comments

    O(n)

    void maxSubarray(int n, const vector<int>& arr) {
    vector<int> subarray(n), subsequence(n);
    subarray[0] = arr[0];
    subsequence[0] = arr[0];
    for (int i=1; i < n; ++i) {
        subarray[i] = max(subarray[i-1] + arr[i], arr[i]);
        subsequence[i] = max( {subsequence[i-1], subsequence[i-1] + arr[i], arr[i]} );
    }
    cout << *max_element(subarray.begin(), subarray.end()) << ' ' << subsequence[n-1] << '\n';
}

  • vinay03015
     + 0 comments

    java 8 beginner way

    int sum=0;

       int max=arr.get(0);
   for(int i=0;i<arr.size();i++){
       sum+=arr.get(i);
       max=max>sum?max:sum;

       if(sum<0){
           sum=0;
         }

   }
   Collections.sort(arr);
   int sumo=0;
   for(int i=0;i<arr.size();i++){
       if(arr.get(i)>0){
           sumo+=arr.get(i);
       }
   }
       List<Integer> li=new ArrayList<>();
       li.add(max);
       if(arr.get(arr.size()-1)<0){
       li.add(arr.get(arr.size()-1));
       }
       else{
           li.add(sumo);
       }
       return li;
}

    }

  • nvhuu99
     + 0 comments

    I'm going to exlain my approach for the "find max sub array" part of this problem.:

    Let's say you have a sub-array, initially it's empty. For any item in the original array, you basically have 2 choices: 1. Add this item to the current sub-array. 2. Make a new sub-array starting from this item.

    With dynamic programming, you can keep tracking the max-sum of the sub-array for both of the choices you've made at each item in the original array.

    PHP code for this approach:

    function maxSubarray($arr)
{
    $dp = [];
    $maxArr = PHP_INT_MIN;
    foreach ($arr as $i => $v) {
        //Track the sum if we make a new sub-array with $v
				$dp[$i][0] = $v;
				
				// Track the sum if we append the sub-array with $v
        $dp[$i][1] = max($dp[$i - 1] ?? [0]) + $v;
				
        $maxArr = max($maxArr, ...$dp[$i]);
    }

    return $maxArr;
}

  • hassane_fadde
     + 0 comments
    def a(arr):
    r=min(0,max(arr))
    for e in arr:
        if e>0:
            r+=e
    return r
def s(arr):
    l=[arr[0],arr[0]]
    for i in range(1,len(arr)):
        l[0]=max(arr[i],arr[i]+l[0])
        l[1]=max(l[1],l[0])
    return max(l)
    
def maxSubarray(arr):
    return s(arr),a(arr)