Ternary Max heap

Here given code implementation process.

/*
  C Program 
  Ternary Max heap
*/
#include <stdio.h>

// Display pre order view of ternary tree
void preorder(int node[], int size, int root)
{
	if (root < size)
	{
		printf("%3d", node[root]);
		// Recursive visit to child node
		preorder(node, size, 3 *root + 1);
		preorder(node, size, 3 *root + 2);
		preorder(node, size, 3 *root + 3);
	}
}
//Swap two element in array
void swap(int node[], int first, int second)
{
	int auxiliary = node[first];
	node[first] = node[second];
	node[second] = auxiliary;
}
// Compare tree node and convert into valid max heap
int compare(int node[], int root, int size)
{
	int location = -1;
	for (int i = 1; i <= 3; ++i)
	{
		if (3 *root + i < size && node[3 *root + i] > node[root])
		{
			if (location == -1)
			{
				location = 3 *root + i;
			}
			else if (node[3 *root + i] > node[location])
			{
				location = 3 *root + i;
			}
		}
	}
	if (location != -1)
	{
		// When node value are change
		swap(node, root, location);
	}
	return location;
}
// Convert into max heap
void heap(int node[], int size, int root)
{
	int task = compare(node, root, size);
	if (task != -1)
	{
		// Recursively execute function, when tasks are remain
		heap(node, size, task);
	}
}
// Handles the request of constructing ternary max heap
void makeTernaryHeap(int node[], int size)
{
	for (int i = (size / 3); i >= 0; i--)
	{
		heap(node, size, i);
	}
}
int main()
{
	// Tree nodes
	int node[] = {
		10 , 7 , 2 , 9 , 1 , 4 , 6 , 3 , 8 , 5 , 11
	};
	// Get the number of elements
	int size = sizeof(node) / sizeof(node[0]);
	// Construct Max heap
	makeTernaryHeap(node, size);
	/*Max heap
	-----------------------   
	              11
	            / | \  
	           /  |  \  
	          /   |   \
	         /    |    \
	        /     |     \
	       /      |      \
	      /       |       \
	     /        |        \
	    7         8         10
	  / |  \    / | \      /
	 1  4   6  3  2  5    9
	----------------------------
	        Constructed Tree               
	*/
	printf(" Preorder\n");
	preorder(node, size, 0);
	return 0;
}

Output

 Preorder
 11  7  1  4  6  8  3  2  5 10  9
/*
 Java program
 Implement Ternary Max heap
*/
public class TernaryMaxHeap
{
    // Display pre order view of ternary tree
    public void preorder(int[] node, int size, int root)
    {
        if (root < size)
        {
            System.out.print("  " + node[root]);
            // Recursive visit to child node
            preorder(node, size, 3 * root + 1);
            preorder(node, size, 3 * root + 2);
            preorder(node, size, 3 * root + 3);
        }
    }
    //Swap two element in array
    public void swap(int[] node, int first, int second)
    {
        int auxiliary = node[first];
        node[first] = node[second];
        node[second] = auxiliary;
    }
    // Compare tree node and convert into valid min heap
    public int compare(int[] node, int root, int size)
    {
        int location = -1;
        for (int i = 1; i <= 3; ++i)
        {
            if (3 * root + i < size && node[3 * root + i] > node[root])
            {
                if (location == -1)
                {
                    location = 3 * root + i;
                }
                else if (node[3 * root + i] > node[location])
                {
                    location = 3 * root + i;
                }
            }
        }
        if (location != -1)
        {
            // When node value are change
            swap(node, root, location);
        }
        return location;
    }
    // Convert into min heap
    public void heap(int[] node, int size, int root)
    {
        int task = compare(node, root, size);
        if (task != -1)
        {
            // Recursively execute function, when tasks are remain
            heap(node, size, task);
        }
    }
    // Handles the request of constructing ternary min heap
    public void makeTernaryHeap(int[] node, int size)
    {
        for (int i = (size / 3); i >= 0; i--)
        {
            heap(node, size, i);
        }
    }
    public static void main(String[] args)
    {
        TernaryMaxHeap task = new TernaryMaxHeap();
        // Tree nodes
        int[] node = {
            10 , 7 , 2 , 9 , 1 , 4 , 6 , 3 , 8 , 5 , 11
        };
        // Get the number of elements
        int size = node.length;
        // Construct Max heap
        task.makeTernaryHeap(node, size);
        /* Max heap
        -----------------------   
                      11
                    / | \  
                   /  |  \  
                  /   |   \
                 /    |    \
                /     |     \
               /      |      \
              /       |       \
             /        |        \
            7         8         10
          / |  \    / | \      /
         1  4   6  3  2  5    9
        ----------------------------
                Constructed Tree               
        */
        System.out.print(" Preorder\n");
        task.preorder(node, size, 0);
    }
}

Output

 Preorder
  11  7  1  4  6  8  3  2  5  10  9
// Include header file
#include <iostream>

using namespace std;
/*
 C++ program
 Implement Ternary Max heap
*/
class TernaryMaxHeap
{
	public:
		// Display pre order view of ternary tree
		void preorder(int node[], int size, int root)
		{
			if (root < size)
			{
				cout << "  " << node[root];
				// Recursive visit to child node
				this->preorder(node, size, 3 *root + 1);
				this->preorder(node, size, 3 *root + 2);
				this->preorder(node, size, 3 *root + 3);
			}
		}
	//Swap two element in array
	void swap(int node[], int first, int second)
	{
		int auxiliary = node[first];
		node[first] = node[second];
		node[second] = auxiliary;
	}
	// Compare tree node and convert into valid min heap
	int compare(int node[], int root, int size)
	{
		int location = -1;
		for (int i = 1; i <= 3; ++i)
		{
			if (3 *root + i < size && node[3 *root + i] > node[root])
			{
				if (location == -1)
				{
					location = 3 *root + i;
				}
				else if (node[3 *root + i] > node[location])
				{
					location = 3 *root + i;
				}
			}
		}
		if (location != -1)
		{
			// When node value are change
			this->swap(node, root, location);
		}
		return location;
	}
	// Convert into min heap
	void heap(int node[], int size, int root)
	{
		int task = this->compare(node, root, size);
		if (task != -1)
		{
			// Recursively execute function, when tasks are remain
			this->heap(node, size, task);
		}
	}
	// Handles the request of constructing ternary min heap
	void makeTernaryHeap(int node[], int size)
	{
		for (int i = (size / 3); i >= 0; i--)
		{
			this->heap(node, size, i);
		}
	}
};
int main()
{
	TernaryMaxHeap task = TernaryMaxHeap();
	// Tree nodes
	int node[] = {
		10 , 7 , 2 , 9 , 1 , 4 , 6 , 3 , 8 , 5 , 11
	};
	// Get the number of elements
	int size = sizeof(node) / sizeof(node[0]);
	// Construct Max heap
	task.makeTernaryHeap(node, size);
	/*Max heap
	-----------------------   
	              11
	            / | \  
	           /  |  \  
	          /   |   \
	         /    |    \
	        /     |     \
	       /      |      \
	      /       |       \
	     /        |        \
	    7         8         10
	  / |  \    / | \      /
	 1  4   6  3  2  5    9
	----------------------------
	        Constructed Tree                  
	*/
	cout << " Preorder\n";
	task.preorder(node, size, 0);
	return 0;
}

Output

 Preorder
  11  7  1  4  6  8  3  2  5  10  9
// Include namespace system
using System;
/*
 C# program
 Implement Ternary Max heap
*/
public class TernaryMaxHeap
{
	// Display pre order view of ternary tree
	public void preorder(int[] node, int size, int root)
	{
		if (root < size)
		{
			Console.Write("  " + node[root]);
			// Recursive visit to child node
			preorder(node, size, 3 * root + 1);
			preorder(node, size, 3 * root + 2);
			preorder(node, size, 3 * root + 3);
		}
	}
	//Swap two element in array
	public void swap(int[] node, int first, int second)
	{
		int auxiliary = node[first];
		node[first] = node[second];
		node[second] = auxiliary;
	}
	// Compare tree node and convert into valid min heap
	public int compare(int[] node, int root, int size)
	{
		int location = -1;
		for (int i = 1; i <= 3; ++i)
		{
			if (3 * root + i < size && node[3 * root + i] > node[root])
			{
				if (location == -1)
				{
					location = 3 * root + i;
				}
				else if (node[3 * root + i] > node[location])
				{
					location = 3 * root + i;
				}
			}
		}
		if (location != -1)
		{
			// When node value are change
			swap(node, root, location);
		}
		return location;
	}
	// Convert into min heap
	public void heap(int[] node, int size, int root)
	{
		int task = compare(node, root, size);
		if (task != -1)
		{
			// Recursively execute function, when tasks are remain
			heap(node, size, task);
		}
	}
	// Handles the request of constructing ternary min heap
	public void makeTernaryHeap(int[] node, int size)
	{
		for (int i = (size / 3); i >= 0; i--)
		{
			heap(node, size, i);
		}
	}
	public static void Main(String[] args)
	{
		TernaryMaxHeap task = new TernaryMaxHeap();
		// Tree nodes
		int[] node = {
			10 , 7 , 2 , 9 , 1 , 4 , 6 , 3 , 8 , 5 , 11
		};
		// Get the number of elements
		int size = node.Length;
		// Construct Max heap
		task.makeTernaryHeap(node, size);
		/* Max heap
		-----------------------   
		              11
		            / | \  
		           /  |  \  
		          /   |   \
		         /    |    \
		        /     |     \
		       /      |      \
		      /       |       \
		     /        |        \
		    7         8         10
		  / |  \    / | \      /
		 1  4   6  3  2  5    9
		----------------------------
		        Constructed Tree                  
		*/
		Console.Write(" Preorder\n");
		task.preorder(node, size, 0);
	}
}

Output

 Preorder
  11  7  1  4  6  8  3  2  5  10  9
<?php
/*
 Php program
 Implement Ternary Max heap
*/
class TernaryMaxHeap
{
	// Display pre order view of ternary tree
	public	function preorder( & $node, $size, $root)
	{
		if ($root < $size)
		{
			echo "  ". $node[$root];
			// Recursive visit to child node
			$this->preorder($node, $size, 3 * $root + 1);
			$this->preorder($node, $size, 3 * $root + 2);
			$this->preorder($node, $size, 3 * $root + 3);
		}
	}
	//Swap two element in array
	public	function swap( & $node, $first, $second)
	{
		$auxiliary = $node[$first];
		$node[$first] = $node[$second];
		$node[$second] = $auxiliary;
	}
	// Compare tree node and convert into valid min heap
	public	function compare( & $node, $root, $size)
	{
		$location = -1;
		for ($i = 1; $i <= 3; ++$i)
		{
			if (3 * $root + $i < $size && $node[3 * $root + $i] > $node[$root])
			{
				if ($location == -1)
				{
					$location = 3 * $root + $i;
				}
				else if ($node[3 * $root + $i] > $node[$location])
				{
					$location = 3 * $root + $i;
				}
			}
		}
		if ($location != -1)
		{
			// When node value are change
			$this->swap($node, $root, $location);
		}
		return $location;
	}
	// Convert into min heap
	public	function heap( & $node, $size, $root)
	{
		$task = $this->compare($node, $root, $size);
		if ($task != -1)
		{
			// Recursively execute function, when tasks are remain
			$this->heap($node, $size, $task);
		}
	}
	// Handles the request of constructing ternary min heap
	public	function makeTernaryHeap( & $node, $size)
	{
		for ($i = (intval($size / 3)); $i >= 0; $i--)
		{
			$this->heap($node, $size, $i);
		}
	}
}

function main()
{
	$task = new TernaryMaxHeap();
	// Tree nodes
	$node = array(10, 7, 2, 9, 1, 4, 6, 3, 8, 5, 11);
	// Get the number of elements
	$size = count($node);
	// Construct Max heap
	$task->makeTernaryHeap($node, $size);
	/* Max heap
	-----------------------   
	              11
	            / | \  
	           /  |  \  
	          /   |   \
	         /    |    \
	        /     |     \
	       /      |      \
	      /       |       \
	     /        |        \
	    7         8         10
	  / |  \    / | \      /
	 1  4   6  3  2  5    9
	----------------------------
	        Constructed Tree                  
	*/
	echo " Preorder\n";
	$task->preorder($node, $size, 0);
}
main();

Output

 Preorder
  11  7  1  4  6  8  3  2  5  10  9
/*
 Node Js program
 Implement Ternary Max heap
*/
class TernaryMaxHeap
{
	// Display pre order view of ternary tree
	preorder(node, size, root)
	{
		if (root < size)
		{
			process.stdout.write("  " + node[root]);
			// Recursive visit to child node
			this.preorder(node, size, 3 * root + 1);
			this.preorder(node, size, 3 * root + 2);
			this.preorder(node, size, 3 * root + 3);
		}
	}
	//Swap two element in array
	swap(node, first, second)
	{
		var auxiliary = node[first];
		node[first] = node[second];
		node[second] = auxiliary;
	}
	// Compare tree node and convert into valid min heap
	compare(node, root, size)
	{
		var location = -1;
		for (var i = 1; i <= 3; ++i)
		{
			if (3 * root + i < size && node[3 * root + i] > node[root])
			{
				if (location == -1)
				{
					location = 3 * root + i;
				}
				else if (node[3 * root + i] > node[location])
				{
					location = 3 * root + i;
				}
			}
		}
		if (location != -1)
		{
			// When node value are change
			this.swap(node, root, location);
		}
		return location;
	}
	// Convert into min heap
	heap(node, size, root)
	{
		var task = this.compare(node, root, size);
		if (task != -1)
		{
			// Recursively execute function, when tasks are remain
			this.heap(node, size, task);
		}
	}
	// Handles the request of constructing ternary min heap
	makeTernaryHeap(node, size)
	{
		for (var i = (parseInt(size / 3)); i >= 0; i--)
		{
			this.heap(node, size, i);
		}
	}
}

function main()
{
	var task = new TernaryMaxHeap();
	// Tree nodes
	var node = [10, 7, 2, 9, 1, 4, 6, 3, 8, 5, 11];
	// Get the number of elements
	var size = node.length;
	// Construct Max heap
	task.makeTernaryHeap(node, size);
	/* Max heap
	-----------------------   
	              11
	            / | \  
	           /  |  \  
	          /   |   \
	         /    |    \
	        /     |     \
	       /      |      \
	      /       |       \
	     /        |        \
	    7         8         10
	  / |  \    / | \      /
	 1  4   6  3  2  5    9
	----------------------------
	        Constructed Tree                  
	*/
	process.stdout.write(" Preorder\n");
	task.preorder(node, size, 0);
}
main();

Output

 Preorder
  11  7  1  4  6  8  3  2  5  10  9
#  Python 3 program
#  Implement Ternary Max heap

class TernaryMaxHeap :
	#  Display pre order view of ternary tree
	def preorder(self, node, size, root) :
		if (root < size) :
			print("  ", node[root], end = "")
			#  Recursive visit to child node
			self.preorder(node, size, 3 * root + 1)
			self.preorder(node, size, 3 * root + 2)
			self.preorder(node, size, 3 * root + 3)
		
	
	# Swap two element in array
	def swap(self, node, first, second) :
		auxiliary = node[first]
		node[first] = node[second]
		node[second] = auxiliary
	
	#  Compare tree node and convert into valid min heap
	def compare(self, node, root, size) :
		location = -1
		i = 1
		while (i <= 3) :
			if (3 * root + i < size and node[3 * root + i] > node[root]) :
				if (location == -1) :
					location = 3 * root + i
				
				elif(node[3 * root + i] > node[location]) :
					location = 3 * root + i
				
			
			i += 1
		
		if (location != -1) :
			#  When node value are change
			self.swap(node, root, location)
		
		return location
	
	#  Convert into min heap
	def heap(self, node, size, root) :
		task = self.compare(node, root, size)
		if (task != -1) :
			#  Recursively execute function, when tasks are remain
			self.heap(node, size, task)
		
	
	#  Handles the request of constructing ternary min heap
	def makeTernaryHeap(self, node, size) :
		i = (int(size / 3))
		while (i >= 0) :
			self.heap(node, size, i)
			i -= 1
		
	

def main() :
	task = TernaryMaxHeap()
	#  Tree nodes
	node = [10, 7, 2, 9, 1, 4, 6, 3, 8, 5, 11]
	#  Get the number of elements
	size = len(node)
	#  Construct Max heap
	task.makeTernaryHeap(node, size)
	#  Max heap
	# -----------------------   
	#               11
	#             / | \  
	#            /  |  \  
	#           /   |   \
	#          /    |    \
	#         /     |     \
	#        /      |      \
	#       /       |       \
	#      /        |        \
	#     7         8         10
	#   / |  \    / | \      /
	#  1  4   6  3  2  5    9
	# ----------------------------
	#         Constructed Tree                  
	
	print(" Preorder")
	task.preorder(node, size, 0)

if __name__ == "__main__": main()

Output

 Preorder
   11   7   1   4   6   8   3   2   5   10   9
#  Ruby program
#  Implement Ternary Max heap

class TernaryMaxHeap 
	#  Display pre order view of ternary tree
	def preorder(node, size, root) 
		if (root < size) 
			print("  ", node[root])
			#  Recursive visit to child node
			self.preorder(node, size, 3 * root + 1)
			self.preorder(node, size, 3 * root + 2)
			self.preorder(node, size, 3 * root + 3)
		end

	end

	# Swap two element in array
	def swap(node, first, second) 
		auxiliary = node[first]
		node[first] = node[second]
		node[second] = auxiliary
	end

	#  Compare tree node and convert into valid min heap
	def compare(node, root, size) 
		location = -1
		i = 1
		while (i <= 3) 
			if (3 * root + i < size && node[3 * root + i] > node[root]) 
				if (location == -1) 
					location = 3 * root + i
				elsif(node[3 * root + i] > node[location]) 
					location = 3 * root + i
				end

			end

			i += 1
		end

		if (location != -1) 
			#  When node value are change
			self.swap(node, root, location)
		end

		return location
	end

	#  Convert into min heap
	def heap(node, size, root) 
		task = self.compare(node, root, size)
		if (task != -1) 
			#  Recursively execute function, when tasks are remain
			self.heap(node, size, task)
		end

	end

	#  Handles the request of constructing ternary min heap
	def makeTernaryHeap(node, size) 
		i = (size / 3)
		while (i >= 0) 
			self.heap(node, size, i)
			i -= 1
		end

	end

end

def main() 
	task = TernaryMaxHeap.new()
	#  Tree nodes
	node = [10, 7, 2, 9, 1, 4, 6, 3, 8, 5, 11]
	#  Get the number of elements
	size = node.length
	#  Construct Max heap
	task.makeTernaryHeap(node, size)
	#  Max heap
	# -----------------------   
	#               11
	#             / | \  
	#            /  |  \  
	#           /   |   \
	#          /    |    \
	#         /     |     \
	#        /      |      \
	#       /       |       \
	#      /        |        \
	#     7         8         10
	#   / |  \    / | \      /
	#  1  4   6  3  2  5    9
	# ----------------------------
	#         Constructed Tree                  
	
	print(" Preorder\n")
	task.preorder(node, size, 0)
end

main()

Output

 Preorder
  11  7  1  4  6  8  3  2  5  10  9
/*
 Scala program
 Implement Ternary Max heap
*/
class TernaryMaxHeap
{
	// Display pre order view of ternary tree
	def preorder(node: Array[Int], size: Int, root: Int): Unit = {
		if (root < size)
		{
			print("  " + node(root));
			// Recursive visit to child node
			this.preorder(node, size, 3 * root + 1);
			this.preorder(node, size, 3 * root + 2);
			this.preorder(node, size, 3 * root + 3);
		}
	}
	//Swap two element in array
	def swap(node: Array[Int], first: Int, second: Int): Unit = {
		var auxiliary: Int = node(first);
		node(first) = node(second);
		node(second) = auxiliary;
	}
	// Compare tree node and convert into valid min heap
	def compare(node: Array[Int], root: Int, size: Int): Int = {
		var location: Int = -1;
		var i: Int = 1;
		while (i <= 3)
		{
			if (3 * root + i < size && node(3 * root + i) > node(root))
			{
				if (location == -1)
				{
					location = 3 * root + i;
				}
				else if (node(3 * root + i) > node(location))
				{
					location = 3 * root + i;
				}
			}
			i += 1;
		}
		if (location != -1)
		{
			// When node value are change
			this.swap(node, root, location);
		}
		return location;
	}
	// Convert into min heap
	def heap(node: Array[Int], size: Int, root: Int): Unit = {
		var task: Int = this.compare(node, root, size);
		if (task != -1)
		{
			// Recursively execute function, when tasks are remain
			this.heap(node, size, task);
		}
	}
	// Handles the request of constructing ternary min heap
	def makeTernaryHeap(node: Array[Int], size: Int): Unit = {
		var i: Int = ((size / 3).toInt);
		while (i >= 0)
		{
			this.heap(node, size, i);
			i -= 1;
		}
	}
}
object Main
{
	def main(args: Array[String]): Unit = {
		var task: TernaryMaxHeap = new TernaryMaxHeap();
		// Tree nodes
		var node: Array[Int] = Array(10, 7, 2, 9, 1, 4, 6, 3, 8, 5, 11);
		// Get the number of elements
		var size: Int = node.length;
		// Construct Max heap
		task.makeTernaryHeap(node, size);
		/* Max heap
		-----------------------   
		              11
		            / | \  
		           /  |  \  
		          /   |   \
		         /    |    \
		        /     |     \
		       /      |      \
		      /       |       \
		     /        |        \
		    7         8         10
		  / |  \    / | \      /
		 1  4   6  3  2  5    9
		----------------------------
		        Constructed Tree                  
		*/
		print(" Preorder\n");
		task.preorder(node, size, 0);
	}
}

Output

 Preorder
  11  7  1  4  6  8  3  2  5  10  9
/*
 Swift 4 program
 Implement Ternary Max heap
*/
class TernaryMaxHeap
{
	// Display pre order view of ternary tree
	func preorder(_ node: [Int], _ size: Int, _ root: Int)
	{
		if (root < size)
		{
			print("  ", node[root], terminator: "");
			// Recursive visit to child node
			self.preorder(node, size, 3 * root + 1);
			self.preorder(node, size, 3 * root + 2);
			self.preorder(node, size, 3 * root + 3);
		}
	}
	//Swap two element in array
	func swap(_ node: inout[Int], _ first: Int, _ second: Int)
	{
		let auxiliary: Int = node[first];
		node[first] = node[second];
		node[second] = auxiliary;
	}
	// Compare tree node and convert into valid min heap
	func compare(_ node: inout[Int], _ root: Int, _ size: Int)->Int
	{
		var location: Int = -1;
		var i: Int = 1;
		while (i <= 3)
		{
			if (3 * root + i < size && node[3 * root + i] > node[root])
			{
				if (location == -1)
				{
					location = 3 * root + i;
				}
				else if (node[3 * root + i] > node[location])
				{
					location = 3 * root + i;
				}
			}
			i += 1;
		}
		if (location  != -1)
		{
			// When node value are change
			self.swap(&node, root, location);
		}
		return location;
	}
	// Convert into min heap
	func heap(_ node: inout[Int], _ size: Int, _ root: Int)
	{
		let task: Int = self.compare(&node, root, size);
		if (task  != -1)
		{
			// Recursively execute function, when tasks are remain
			self.heap(&node, size, task);
		}
	}
	// Handles the request of constructing ternary min heap
	func makeTernaryHeap(_ node: inout[Int], _ size: Int)
	{
		var i: Int = (size / 3);
		while (i >= 0)
		{
			self.heap(&node, size, i);
			i -= 1;
		}
	}
}
func main()
{
	let task: TernaryMaxHeap = TernaryMaxHeap();
	// Tree nodes
	var node: [Int] = [10, 7, 2, 9, 1, 4, 6, 3, 8, 5, 11];
	// Get the number of elements
	let size: Int = node.count;
	// Construct Max heap
	task.makeTernaryHeap(&node, size);
	/* Max heap
	-----------------------   
	              11
	            / | \  
	           /  |  \  
	          /   |   \
	         /    |    \
	        /     |     \
	       /      |      \
	      /       |       \
	     /        |        \
	    7         8         10
	  / |  \    / | \      /
	 1  4   6  3  2  5    9
	----------------------------
	        Constructed Tree                  
	*/
	print(" Preorder");
	task.preorder(node, size, 0);
}
main();

Output

 Preorder
   11   7   1   4   6   8   3   2   5   10   9
/*
 Kotlin program
 Implement Ternary Max heap
*/
class TernaryMaxHeap
{
	// Display pre order view of ternary tree
	fun preorder(node: Array <Int> , size: Int, root: Int): Unit
	{
		if (root < size)
		{
			print("  " + node[root]);
			// Recursive visit to child node
			this.preorder(node, size, 3 * root + 1);
			this.preorder(node, size, 3 * root + 2);
			this.preorder(node, size, 3 * root + 3);
		}
	}
	//Swap two element in array
	fun swap(node: Array <Int> , first: Int, second: Int): Unit
	{
		var auxiliary: Int = node[first];
		node[first] = node[second];
		node[second] = auxiliary;
	}
	// Compare tree node and convert into valid min heap
	fun compare(node: Array <Int> , root: Int, size: Int): Int
	{
		var location: Int = -1;
		var i: Int = 1;
		while (i <= 3)
		{
			if (3 * root + i < size && node[3 * root + i] > node[root])
			{
				if (location == -1)
				{
					location = 3 * root + i;
				}
				else if (node[3 * root + i] > node[location])
				{
					location = 3 * root + i;
				}
			}
			i += 1;
		}
		if (location != -1)
		{
			// When node value are change
			this.swap(node, root, location);
		}
		return location;
	}
	// Convert into min heap
	fun heap(node: Array <Int> , size: Int, root: Int): Unit
	{
		var task: Int = this.compare(node, root, size);
		if (task != -1)
		{
			// Recursively execute function, when tasks are remain
			this.heap(node, size, task);
		}
	}
	// Handles the request of constructing ternary min heap
	fun makeTernaryHeap(node: Array <Int> , size: Int): Unit
	{
		var i: Int = (size / 3);
		while (i >= 0)
		{
			this.heap(node, size, i);
			i -= 1;
		}
	}
}
fun main(args: Array < String > ): Unit
{
	var task: TernaryMaxHeap = TernaryMaxHeap();
	// Tree nodes
	var node: Array<Int> = arrayOf(10, 7, 2, 9, 1, 4, 6, 3, 8, 5, 11);
	// Get the number of elements
	var size: Int = node.count();
	// Construct Max heap
	task.makeTernaryHeap(node, size);
	/* Max heap
	-----------------------   
	              11
	            / | \  
	           /  |  \  
	          /   |   \
	         /    |    \
	        /     |     \
	       /      |      \
	      /       |       \
	     /        |        \
	    7         8         10
	  / |  \    / | \      /
	 1  4   6  3  2  5    9
	----------------------------
	        Constructed Tree                  
	*/
	print(" Preorder\n");
	task.preorder(node, size, 0);
}

Output

 Preorder
  11  7  1  4  6  8  3  2  5  10  9


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