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HomeData ModellingData Structure & AlgorithmRemove minimum elements from either side such that 2*min becomes more than...

Remove minimum elements from either side such that 2*min becomes more than max | Set 2

Given an unsorted array, trim the array such that twice of minimum is greater than the maximum in the trimmed array. Elements should be removed from either end of the array. The number of removals should be minimum.

Examples:

Input: arr[] = {4, 5, 100, 9, 10, 11, 12, 15, 200} Output: 4 We need to remove 4 elements (4, 5, 100, 200) so that 2*min becomes more than max. Input: arr[] = {4, 7, 5, 6} Output: 0 We don’t need to remove any element as 4*2 > 7 Input: arr[] = {20, 7, 5, 6} Output: 1

Approach:

We have discussed various approaches to solve this problem in O(n

3

), O(n

2

* logn), and O(n

2

) time in

previous article

. In this articles, we are going to discuss a O(n * logn) time solution using

Sliding Window

and

Segment Tree

concepts.

  1. Construct Segment Tree for RangeMinimumQuery and RangeMaximumQuery for the given input array.
  2. Take two pointers start and end, and initialize both to 0.
  3. While end is less than the length of the input array, do the following:
    • Find min and max in the current window using Segment Trees constructed in step 1.
    • Check if 2 * min ≤ max, if so then increment start pointer else update max valid length so far, if required
    • Increment end
  4. length(arr[]) – maxValidLength is the required answer.

Below is the implementation of the above approach:

C++




#include <iostream>
#include <vector>
#include <cmath>
#include <bits/stdc++.h>
using namespace std;
 
class GFG {
public:
    int removeMinElements(vector<int>& a) {
        int n = a.size();
 
        RangeMinimumQuery rMimQ;
        vector<int> minTree = rMimQ.createSegmentTree(a);
 
        RangeMaximumQuery rMaxQ;
        vector<int> maxTree = rMaxQ.createSegmentTree(a);
 
        int start = 0;
        int end = 0;
 
        // To store min and max in the current window
        int min_val = 0;
        int max_val = 0;
        int maxValidLen = 0;
 
        while (end < n) {
            min_val = rMimQ.rangeMinimumQuery(minTree, start, end, n);
            max_val = rMaxQ.rangeMaximumQuery(maxTree, start, end, n);
            if (2 * min_val <= max_val)
                start++;
            else
                maxValidLen = max(maxValidLen, end - start + 1);
            end++;
        }
        return n - maxValidLen;
    }
 
    class RangeMinimumQuery {
    public:
        vector<int> createSegmentTree(vector<int>& input) {
            int n = input.size();
            int segTreeSize = 2 * get_next_power_of_two(n) - 1;
            vector<int> segmentTree(segTreeSize, 0);
 
            createSegmentTreeUtil(segmentTree, input, 0, n - 1, 0);
            return segmentTree;
        }
 
        void createSegmentTreeUtil(vector<int>& segmentTree, vector<int>& input, int low, int high, int pos) {
            if (low == high) {
                // It's a leaf node
                segmentTree[pos] = input[low];
                return;
            }
 
            // Construct left and right subtrees and then
            // update value for the current node
            int mid = (low + high) / 2;
            createSegmentTreeUtil(segmentTree, input, low, mid, (2 * pos + 1));
            createSegmentTreeUtil(segmentTree, input, mid + 1, high, (2 * pos + 2));
            segmentTree[pos] = min(segmentTree[2 * pos + 1], segmentTree[2 * pos + 2]);
        }
 
        int rangeMinimumQuery(vector<int>& segmentTree, int from, int to, int inputSize) {
            return rangeMinimumQueryUtil(segmentTree, 0, inputSize - 1, from, to, 0);
        }
 
        int rangeMinimumQueryUtil(vector<int>& segmentTree, int low, int high, int from, int to, int pos) {
            // Total overlap
            if (from <= low && to >= high) {
                return segmentTree[pos];
            }
 
            // No overlap
            if (from > high || to < low) {
                return INT_MAX;
            }
 
            // Partial overlap
            int mid = (low + high) / 2;
            int left = rangeMinimumQueryUtil(segmentTree, low, mid, from, to, (2 * pos + 1));
            int right = rangeMinimumQueryUtil(segmentTree, mid + 1, high, from, to, (2 * pos + 2));
            return min(left, right);
        }
 
    private:
        int get_next_power_of_two(int n) {
            int logPart = ceil(log2(n));
            return pow(2, logPart);
        }
    };
 
    class RangeMaximumQuery {
    public:
        vector<int> createSegmentTree(vector<int>& input) {
            int n = input.size();
            int segTreeSize = 2 * get_next_power_of_two(n) - 1;
            vector<int> segmentTree(segTreeSize, 0);
 
            createSegmentTreeUtil(segmentTree, input, 0, n - 1, 0);
            return segmentTree;
        }
 
        void createSegmentTreeUtil(vector<int>& segmentTree, vector<int>& input, int low, int high, int pos) {
            if (low == high) {
                // It's a leaf node
                segmentTree[pos] = input[low];
                return;
            }
 
            // Construct left and right subtrees and then
            // update value for the current node
            int mid = (low + high) / 2;
            createSegmentTreeUtil(segmentTree, input, low, mid, (2 * pos + 1));
            createSegmentTreeUtil(segmentTree, input, mid + 1, high, (2 * pos + 2));
            segmentTree[pos] = max(segmentTree[2 * pos + 1], segmentTree[2 * pos + 2]);
        }
 
        int rangeMaximumQuery(vector<int>& segmentTree, int from, int to, int inputSize) {
            return rangeMaximumQueryUtil(segmentTree, 0, inputSize - 1, from, to, 0);
        }
 
        int rangeMaximumQueryUtil(vector<int>& segmentTree, int low, int high, int from, int to, int pos) {
            // Total overlap
            if (from <= low && to >= high) {
                return segmentTree[pos];
            }
 
            // No overlap
            if (from > high || to < low) {
                return INT_MIN;
            }
 
            // Partial overlap
            int mid = (low + high) / 2;
            int left = rangeMaximumQueryUtil(segmentTree, low, mid, from, to, (2 * pos + 1));
            int right = rangeMaximumQueryUtil(segmentTree, mid + 1, high, from, to, (2 * pos + 2));
            return max(left, right);
        }
 
    private:
        int get_next_power_of_two(int n) {
            int logPart = ceil(log2(n));
            return pow(2, logPart);
        }
    };
};
 
int main() {
    vector<int> a = {4, 5, 100, 9, 10, 11, 12, 15, 200};
    GFG gfg;
    cout << gfg.removeMinElements(a) << endl;
    return 0;
}


Java




// Java implementation of the approach
public class GFG {
 
    // Function to return the minimum removals
    // required so that the array satisfy
    // the given condition
    public int removeMinElements(int[] a)
    {
        int n = a.length;
 
        RangeMinimumQuery rMimQ = new RangeMinimumQuery();
        int[] minTree = rMimQ.createSegmentTree(a);
 
        RangeMaximumQuery rMaxQ = new RangeMaximumQuery();
        int[] maxTree = rMaxQ.createSegmentTree(a);
 
        int start = 0, end = 0;
 
        // To store min and max in the current window
        int min, max;
        int maxValidLen = 0;
 
        while (end < n) {
            min = rMimQ.rangeMinimumQuery(minTree,
                                          start, end, n);
            max = rMaxQ.rangeMaximumQuery(maxTree,
                                          start, end, n);
            if (2 * min <= max)
                start++;
            else
                maxValidLen = Math.max(maxValidLen,
                                       end - start + 1);
            end++;
        }
        return n - maxValidLen;
    }
 
    class RangeMinimumQuery {
 
        // Creates a new segment tree from
        // the given input array
        public int[] createSegmentTree(int[] input)
        {
            int n = input.length;
            int segTreeSize = 2 * getNextPowerOfTwo(n) - 1;
            int[] segmentTree = new int[segTreeSize];
 
            createSegmentTreeUtil(segmentTree, input,
                                  0, n - 1, 0);
            return segmentTree;
        }
 
        private void createSegmentTreeUtil(int[] segmentTree,
                                           int[] input, int low,
                                           int high, int pos)
        {
            if (low == high) {
 
                // Its a leaf node
                segmentTree[pos] = input[low];
                return;
            }
 
            // Construct left and right subtrees and then
            // update value for current node
            int mid = (low + high) / 2;
            createSegmentTreeUtil(segmentTree, input, low,
                                  mid, (2 * pos + 1));
            createSegmentTreeUtil(segmentTree, input,
                                  mid + 1, high, (2 * pos + 2));
            segmentTree[pos] = Math.min(segmentTree[2 * pos + 1],
                                        segmentTree[2 * pos + 2]);
        }
 
        public int rangeMinimumQuery(int[] segmentTree, int from,
                                     int to, int inputSize)
        {
            return rangeMinimumQueryUtil(segmentTree, 0,
                                         inputSize - 1, from, to, 0);
        }
 
        private int rangeMinimumQueryUtil(int[] segmentTree, int low,
                                        int high, int from, int to, int pos)
        {
            // Total overlap
            if (from <= low && to >= high) {
                return segmentTree[pos];
            }
 
            // No overlap
            if (from > high || to < low) {
                return Integer.MAX_VALUE;
            }
 
            // Partial overlap
            int mid = (low + high) / 2;
            int left = rangeMinimumQueryUtil(segmentTree, low,
                                             mid, from, to,
                                             (2 * pos + 1));
            int right = rangeMinimumQueryUtil(segmentTree,
                                              mid + 1, high, from,
                                              to, (2 * pos + 2));
            return Math.min(left, right);
        }
    }
 
    class RangeMaximumQuery {
 
        // Creates a new segment tree from given input array
        public int[] createSegmentTree(int[] input)
        {
            int n = input.length;
            int segTreeSize = 2 * getNextPowerOfTwo(n) - 1;
            int[] segmentTree = new int[segTreeSize];
 
            createSegmentTreeUtil(segmentTree, input, 0, n - 1, 0);
            return segmentTree;
        }
 
        private void createSegmentTreeUtil(int[] segmentTree, int[] input,
                                           int low, int high, int pos)
        {
            if (low == high) {
 
                // Its a leaf node
                segmentTree[pos] = input[low];
                return;
            }
 
            // Construct left and right subtrees and then
            // update value for current node
            int mid = (low + high) / 2;
            createSegmentTreeUtil(segmentTree, input, low,
                                  mid, (2 * pos + 1));
            createSegmentTreeUtil(segmentTree, input,
                                  mid + 1, high, (2 * pos + 2));
            segmentTree[pos] = Math.max(segmentTree[2 * pos + 1],
                                        segmentTree[2 * pos + 2]);
        }
 
        public int rangeMaximumQuery(int[] segmentTree,
                                     int from, int to, int inputSize)
        {
            return rangeMaximumQueryUtil(segmentTree, 0,
                                         inputSize - 1, from, to, 0);
        }
 
        private int rangeMaximumQueryUtil(int[] segmentTree, int low,
                                 int high, int from, int to, int pos)
        {
            // Total overlap
            if (from <= low && to >= high) {
                return segmentTree[pos];
            }
 
            // No overlap
            if (from > high || to < low) {
                return Integer.MIN_VALUE;
            }
 
            // Partial overlap
            int mid = (low + high) / 2;
            int left = rangeMaximumQueryUtil(segmentTree, low,
                                             mid, from, to,
                                             (2 * pos + 1));
            int right = rangeMaximumQueryUtil(segmentTree,
                                              mid + 1, high, from,
                                              to, (2 * pos + 2));
            return Math.max(left, right);
        }
    }
 
    // Function to return the minimum power of 2
    // which is greater than n
    private int getNextPowerOfTwo(int n)
    {
        int logPart = (int)Math.ceil(Math.log(n)
                                     / Math.log(2));
        return (int)Math.pow(2, logPart);
    }
 
    // Driver code
    public static void main(String[] args)
    {
        int[] a = { 4, 5, 100, 9, 10, 11, 12, 15, 200 };
        GFG gfg = new GFG();
        System.out.println(gfg.removeMinElements(a));
    }
}


Python3




import math
 
class GFG:
    # Function to return the minimum removals
    # required so that the array satisfies
    # the given condition
    def removeMinElements(self, a):
        n = len(a)
 
        rMimQ = self.RangeMinimumQuery()
        minTree = rMimQ.createSegmentTree(a)
 
        rMaxQ = self.RangeMaximumQuery()
        maxTree = rMaxQ.createSegmentTree(a)
 
        start = 0
        end = 0
 
        # To store min and max in the current window
        min_val = 0
        max_val = 0
        maxValidLen = 0
 
        while end < n:
            min_val = rMimQ.rangeMinimumQuery(minTree, start, end, n)
            max_val = rMaxQ.rangeMaximumQuery(maxTree, start, end, n)
            if 2 * min_val <= max_val:
                start += 1
            else:
                maxValidLen = max(maxValidLen, end - start + 1)
            end += 1
        return n - maxValidLen
 
    class RangeMinimumQuery:
        def createSegmentTree(self, input):
            n = len(input)
            segTreeSize = 2 * self.get_next_power_of_two(n) - 1
            segmentTree = [0] * segTreeSize
 
            self.createSegmentTreeUtil(segmentTree, input, 0, n - 1, 0)
            return segmentTree
 
        def createSegmentTreeUtil(self, segmentTree, input, low, high, pos):
            if low == high:
                # It's a leaf node
                segmentTree[pos] = input[low]
                return
 
            # Construct left and right subtrees and then
            # update value for the current node
            mid = (low + high) // 2
            self.createSegmentTreeUtil(segmentTree, input, low, mid, (2 * pos + 1))
            self.createSegmentTreeUtil(segmentTree, input, mid + 1, high, (2 * pos + 2))
            segmentTree[pos] = min(segmentTree[2 * pos + 1], segmentTree[2 * pos + 2])
 
        def rangeMinimumQuery(self, segmentTree, from_, to, inputSize):
            return self.rangeMinimumQueryUtil(segmentTree, 0, inputSize - 1, from_, to, 0)
 
        def rangeMinimumQueryUtil(self, segmentTree, low, high, from_, to, pos):
            # Total overlap
            if from_ <= low and to >= high:
                return segmentTree[pos]
 
            # No overlap
            if from_ > high or to < low:
                return float('inf')
 
            # Partial overlap
            mid = (low + high) // 2
            left = self.rangeMinimumQueryUtil(segmentTree, low, mid, from_, to, (2 * pos + 1))
            right = self.rangeMinimumQueryUtil(segmentTree, mid + 1, high, from_, to, (2 * pos + 2))
            return min(left, right)
 
        # Move the get_next_power_of_two method here
        def get_next_power_of_two(self, n):
            log_part = math.ceil(math.log(n) / math.log(2))
            return 2 ** log_part
 
    class RangeMaximumQuery:
        # Move the get_next_power_of_two method here
        def get_next_power_of_two(self, n):
            log_part = math.ceil(math.log(n) / math.log(2))
            return 2 ** log_part
             
        def createSegmentTree(self, input):
            n = len(input)
            segTreeSize = 2 * self.get_next_power_of_two(n) - 1
            segmentTree = [0] * segTreeSize
 
            self.createSegmentTreeUtil(segmentTree, input, 0, n - 1, 0)
            return segmentTree
 
        def createSegmentTreeUtil(self, segmentTree, input, low, high, pos):
            if low == high:
                # It's a leaf node
                segmentTree[pos] = input[low]
                return
 
            # Construct left and right subtrees and then
            # update value for the current node
            mid = (low + high) // 2
            self.createSegmentTreeUtil(segmentTree, input, low, mid, (2 * pos + 1))
            self.createSegmentTreeUtil(segmentTree, input, mid + 1, high, (2 * pos + 2))
            segmentTree[pos] = max(segmentTree[2 * pos + 1], segmentTree[2 * pos + 2])
 
        def rangeMaximumQuery(self, segmentTree, from_, to, inputSize):
            return self.rangeMaximumQueryUtil(segmentTree, 0, inputSize - 1, from_, to, 0)
 
        def rangeMaximumQueryUtil(self, segmentTree, low, high, from_, to, pos):
            # Total overlap
            if from_ <= low and to >= high:
                return segmentTree[pos]
 
            # No overlap
            if from_ > high or to < low:
                return float('-inf')
 
            # Partial overlap
            mid = (low + high) // 2
            left = self.rangeMaximumQueryUtil(segmentTree, low, mid, from_, to, (2 * pos + 1))
            right = self.rangeMaximumQueryUtil(segmentTree, mid + 1, high, from_, to, (2 * pos + 2))
            return max(left, right)
 
# Driver code
if __name__ == "__main__":
    a = [4, 5, 100, 9, 10, 11, 12, 15, 200]
    gfg = GFG()
    print(gfg.removeMinElements(a))


C#




// C# implementation of the approach
using System;
 
class GFG
{
 
    // Function to return the minimum removals
    // required so that the array satisfy
    // the given condition
    static int removeMinElements(int[] a)
    {
        int n = a.Length;
 
        RangeMinimumQuery rMimQ = new RangeMinimumQuery();
        int[] minTree = rMimQ.createSegmentTree(a);
 
        RangeMaximumQuery rMaxQ = new RangeMaximumQuery();
        int[] maxTree = rMaxQ.createSegmentTree(a);
 
        int start = 0, end = 0;
 
        // To store min and max in the current window
        int min, max;
        int maxValidLen = 0;
 
        while (end < n)
        {
            min = rMimQ.rangeMinimumQuery(minTree,
                                        start, end, n);
            max = rMaxQ.rangeMaximumQuery(maxTree,
                                        start, end, n);
            if (2 * min <= max)
                start++;
            else
                maxValidLen = Math.Max(maxValidLen,
                                    end - start + 1);
            end++;
        }
        return n - maxValidLen;
    }
 
    class RangeMinimumQuery {
 
        // Creates a new segment tree from
        // the given input array
        public int[] createSegmentTree(int[] input)
        {
            int n = input.Length;
            int segTreeSize = 2 * getNextPowerOfTwo(n) - 1;
            int[] segmentTree = new int[segTreeSize];
 
            createSegmentTreeUtil(segmentTree, input,
                                0, n - 1, 0);
            return segmentTree;
        }
 
        public void createSegmentTreeUtil(int[] segmentTree,
                                        int[] input, int low,
                                        int high, int pos)
        {
            if (low == high) {
 
                // Its a leaf node
                segmentTree[pos] = input[low];
                return;
            }
 
            // Construct left and right subtrees and then
            // update value for current node
            int mid = (low + high) / 2;
            createSegmentTreeUtil(segmentTree, input, low,
                                mid, (2 * pos + 1));
            createSegmentTreeUtil(segmentTree, input,
                                mid + 1, high, (2 * pos + 2));
            segmentTree[pos] = Math.Min(segmentTree[2 * pos + 1],
                                        segmentTree[2 * pos + 2]);
        }
 
        public int rangeMinimumQuery(int[] segmentTree, int from,
                                    int to, int inputSize)
        {
            return rangeMinimumQueryUtil(segmentTree, 0,
                                        inputSize - 1, from, to, 0);
        }
 
        static int rangeMinimumQueryUtil(int[] segmentTree, int low,
                                        int high, int from, int to, int pos)
        {
            // Total overlap
            if (from <= low && to >= high) {
                return segmentTree[pos];
            }
 
            // No overlap
            if (from > high || to < low) {
                return int.MaxValue;
            }
 
            // Partial overlap
            int mid = (low + high) / 2;
            int left = rangeMinimumQueryUtil(segmentTree, low,
                                            mid, from, to,
                                            (2 * pos + 1));
            int right = rangeMinimumQueryUtil(segmentTree,
                                            mid + 1, high, from,
                                            to, (2 * pos + 2));
            return Math.Min(left, right);
        }
    }
 
    class RangeMaximumQuery {
 
        // Creates a new segment tree from given input array
        public int[] createSegmentTree(int[] input)
        {
            int n = input.Length;
            int segTreeSize = 2 * getNextPowerOfTwo(n) - 1;
            int[] segmentTree = new int[segTreeSize];
 
            createSegmentTreeUtil(segmentTree, input, 0, n - 1, 0);
            return segmentTree;
        }
 
        public void createSegmentTreeUtil(int[] segmentTree, int[] input,
                                        int low, int high, int pos)
        {
            if (low == high) {
 
                // Its a leaf node
                segmentTree[pos] = input[low];
                return;
            }
 
            // Construct left and right subtrees and then
            // update value for current node
            int mid = (low + high) / 2;
            createSegmentTreeUtil(segmentTree, input, low,
                                mid, (2 * pos + 1));
            createSegmentTreeUtil(segmentTree, input,
                                mid + 1, high, (2 * pos + 2));
            segmentTree[pos] = Math.Max(segmentTree[2 * pos + 1],
                                        segmentTree[2 * pos + 2]);
        }
 
        public int rangeMaximumQuery(int[] segmentTree,
                                    int from, int to, int inputSize)
        {
            return rangeMaximumQueryUtil(segmentTree, 0,
                                        inputSize - 1, from, to, 0);
        }
 
        public int rangeMaximumQueryUtil(int[] segmentTree, int low,
                                int high, int from, int to, int pos)
        {
            // Total overlap
            if (from <= low && to >= high) {
                return segmentTree[pos];
            }
 
            // No overlap
            if (from > high || to < low) {
                return int.MinValue;
            }
 
            // Partial overlap
            int mid = (low + high) / 2;
            int left = rangeMaximumQueryUtil(segmentTree, low,
                                            mid, from, to,
                                            (2 * pos + 1));
            int right = rangeMaximumQueryUtil(segmentTree,
                                            mid + 1, high, from,
                                            to, (2 * pos + 2));
            return Math.Max(left, right);
        }
    }
 
    // Function to return the minimum power of 2
    // which is greater than n
    static int getNextPowerOfTwo(int n)
    {
        int logPart = (int)Math.Ceiling(Math.Log(n)
                                    / Math.Log(2));
        return (int)Math.Pow(2, logPart);
    }
 
    // Driver code
    public static void Main(String[] args)
    {
        int[] a = { 4, 5, 100, 9, 10, 11, 12, 15, 200 };
        Console.WriteLine(removeMinElements(a));
    }
}
 
// This code is contributed by Rajput-Ji


Output

4


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Thapelo Manthata
I’m a desktop support specialist transitioning into a SharePoint developer role by day and Software Engineering student by night. My superpowers include customer service, coding, the Microsoft office 365 suite including SharePoint and power platform.
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