Longitud màxima del camí creixent consecutiu en arbre binari
Donat un arbre binari, trobeu la longitud del camí més llarg que consta de nodes amb valors consecutius en ordre creixent. Cada node es considera com un camí de longitud 1.
Exemples:
10 / / 11 9 / / / / 13 12 13 8 Maximum Consecutive Path Length is 3 (10 11 12) Note : 10 9 8 is NOT considered since the nodes should be in increasing order. 5 / / 8 11 / / 9 10 / / / / 6 15 Maximum Consecutive Path Length is 2 (8 9).
Cada node de l'arbre binari pot passar a formar part del camí que comença des d'un dels seus nodes pare o un camí nou pot començar des d'aquest node. La clau és trobar recursivament la longitud del camí per als subarbres esquerre i dret i després retornar el màxim. Alguns casos s'han de tenir en compte mentre travessa l'arbre que es comenten a continuació.
- anterior : emmagatzema el valor del node pare. Inicialitzar prev amb un valor inferior al del node arrel de manera que el camí que comença a l'arrel pugui tenir una longitud d'almenys 1.
- només : Emmagatzema la longitud del camí que acaba al pare del node visitat actualment.
Cas 1 : El valor del node actual és anterior +1
En aquest cas, augmenteu la longitud del camí en 1 i, a continuació, trobeu de manera recursiva la longitud del camí per al subarbre esquerre i dret i, a continuació, retorneu el màxim entre dues longituds.
Cas 2 : El valor del node actual NO és prev+1
Un camí nou pot començar des d'aquest node, de manera que trobeu de manera recursiva la longitud del camí per al subarbre esquerre i dret. El camí que acaba al node pare del node actual pot ser més gran que el camí que comença des d'aquest node. Per tant, pren el màxim del camí que comença des d'aquest node i que acaba al node anterior.
A continuació es mostra la implementació de la idea anterior.
C++ // C++ Program to find Maximum Consecutive // Path Length in a Binary Tree #include using namespace std ; // To represent a node of a Binary Tree struct Node { Node * left * right ; int val ; }; // Create a new Node and return its address Node * newNode ( int val ) { Node * temp = new Node (); temp -> val = val ; temp -> left = temp -> right = NULL ; return temp ; } // Returns the maximum consecutive Path Length int maxPathLenUtil ( Node * root int prev_val int prev_len ) { if ( ! root ) return prev_len ; // Get the value of Current Node // The value of the current node will be // prev Node for its left and right children int cur_val = root -> val ; // If current node has to be a part of the // consecutive path then it should be 1 greater // than the value of the previous node if ( cur_val == prev_val + 1 ) { // a) Find the length of the Left Path // b) Find the length of the Right Path // Return the maximum of Left path and Right path return max ( maxPathLenUtil ( root -> left cur_val prev_len + 1 ) maxPathLenUtil ( root -> right cur_val prev_len + 1 )); } // Find length of the maximum path under subtree rooted with this // node (The path may or may not include this node) int newPathLen = max ( maxPathLenUtil ( root -> left cur_val 1 ) maxPathLenUtil ( root -> right cur_val 1 )); // Take the maximum previous path and path under subtree rooted // with this node. return max ( prev_len newPathLen ); } // A wrapper over maxPathLenUtil(). int maxConsecutivePathLength ( Node * root ) { // Return 0 if root is NULL if ( root == NULL ) return 0 ; // Else compute Maximum Consecutive Increasing Path // Length using maxPathLenUtil. return maxPathLenUtil ( root root -> val -1 0 ); } //Driver program to test above function int main () { Node * root = newNode ( 10 ); root -> left = newNode ( 11 ); root -> right = newNode ( 9 ); root -> left -> left = newNode ( 13 ); root -> left -> right = newNode ( 12 ); root -> right -> left = newNode ( 13 ); root -> right -> right = newNode ( 8 ); cout < < 'Maximum Consecutive Increasing Path Length is ' < < maxConsecutivePathLength ( root ); return 0 ; }
Java // Java Program to find Maximum Consecutive // Path Length in a Binary Tree import java.util.* ; class GfG { // To represent a node of a Binary Tree static class Node { Node left right ; int val ; } // Create a new Node and return its address static Node newNode ( int val ) { Node temp = new Node (); temp . val = val ; temp . left = null ; temp . right = null ; return temp ; } // Returns the maximum consecutive Path Length static int maxPathLenUtil ( Node root int prev_val int prev_len ) { if ( root == null ) return prev_len ; // Get the value of Current Node // The value of the current node will be // prev Node for its left and right children int cur_val = root . val ; // If current node has to be a part of the // consecutive path then it should be 1 greater // than the value of the previous node if ( cur_val == prev_val + 1 ) { // a) Find the length of the Left Path // b) Find the length of the Right Path // Return the maximum of Left path and Right path return Math . max ( maxPathLenUtil ( root . left cur_val prev_len + 1 ) maxPathLenUtil ( root . right cur_val prev_len + 1 )); } // Find length of the maximum path under subtree rooted with this // node (The path may or may not include this node) int newPathLen = Math . max ( maxPathLenUtil ( root . left cur_val 1 ) maxPathLenUtil ( root . right cur_val 1 )); // Take the maximum previous path and path under subtree rooted // with this node. return Math . max ( prev_len newPathLen ); } // A wrapper over maxPathLenUtil(). static int maxConsecutivePathLength ( Node root ) { // Return 0 if root is NULL if ( root == null ) return 0 ; // Else compute Maximum Consecutive Increasing Path // Length using maxPathLenUtil. return maxPathLenUtil ( root root . val - 1 0 ); } //Driver program to test above function public static void main ( String [] args ) { Node root = newNode ( 10 ); root . left = newNode ( 11 ); root . right = newNode ( 9 ); root . left . left = newNode ( 13 ); root . left . right = newNode ( 12 ); root . right . left = newNode ( 13 ); root . right . right = newNode ( 8 ); System . out . println ( 'Maximum Consecutive Increasing Path Length is ' + maxConsecutivePathLength ( root )); } }
Python3 # Python program to find Maximum consecutive # path length in binary tree # A binary tree node class Node : # Constructor to create a new node def __init__ ( self val ): self . val = val self . left = None self . right = None # Returns the maximum consecutive path length def maxPathLenUtil ( root prev_val prev_len ): if root is None : return prev_len # Get the value of current node # The value of the current node will be # prev node for its left and right children curr_val = root . val # If current node has to be a part of the # consecutive path then it should be 1 greater # than the value of the previous node if curr_val == prev_val + 1 : # a) Find the length of the left path # b) Find the length of the right path # Return the maximum of left path and right path return max ( maxPathLenUtil ( root . left curr_val prev_len + 1 ) maxPathLenUtil ( root . right curr_val prev_len + 1 )) # Find the length of the maximum path under subtree # rooted with this node newPathLen = max ( maxPathLenUtil ( root . left curr_val 1 ) maxPathLenUtil ( root . right curr_val 1 )) # Take the maximum previous path and path under subtree # rooted with this node return max ( prev_len newPathLen ) # A Wrapper over maxPathLenUtil() def maxConsecutivePathLength ( root ): # Return 0 if root is None if root is None : return 0 # Else compute maximum consecutive increasing path # length using maxPathLenUtil return maxPathLenUtil ( root root . val - 1 0 ) # Driver program to test above function root = Node ( 10 ) root . left = Node ( 11 ) root . right = Node ( 9 ) root . left . left = Node ( 13 ) root . left . right = Node ( 12 ) root . right . left = Node ( 13 ) root . right . right = Node ( 8 ) print ( 'Maximum Consecutive Increasing Path Length is' ) print ( maxConsecutivePathLength ( root )) # This code is contributed by Nikhil Kumar Singh(nickzuck_007)
C# // C# Program to find Maximum Consecutive // Path Length in a Binary Tree using System ; class GfG { // To represent a node of a Binary Tree class Node { public Node left right ; public int val ; } // Create a new Node and return its address static Node newNode ( int val ) { Node temp = new Node (); temp . val = val ; temp . left = null ; temp . right = null ; return temp ; } // Returns the maximum consecutive Path Length static int maxPathLenUtil ( Node root int prev_val int prev_len ) { if ( root == null ) return prev_len ; // Get the value of Current Node // The value of the current node will be // prev Node for its left and right children int cur_val = root . val ; // If current node has to be a part of the // consecutive path then it should be 1 greater // than the value of the previous node if ( cur_val == prev_val + 1 ) { // a) Find the length of the Left Path // b) Find the length of the Right Path // Return the maximum of Left path and Right path return Math . Max ( maxPathLenUtil ( root . left cur_val prev_len + 1 ) maxPathLenUtil ( root . right cur_val prev_len + 1 )); } // Find length of the maximum path under subtree rooted with this // node (The path may or may not include this node) int newPathLen = Math . Max ( maxPathLenUtil ( root . left cur_val 1 ) maxPathLenUtil ( root . right cur_val 1 )); // Take the maximum previous path and path under subtree rooted // with this node. return Math . Max ( prev_len newPathLen ); } // A wrapper over maxPathLenUtil(). static int maxConsecutivePathLength ( Node root ) { // Return 0 if root is NULL if ( root == null ) return 0 ; // Else compute Maximum Consecutive Increasing Path // Length using maxPathLenUtil. return maxPathLenUtil ( root root . val - 1 0 ); } // Driver code public static void Main ( String [] args ) { Node root = newNode ( 10 ); root . left = newNode ( 11 ); root . right = newNode ( 9 ); root . left . left = newNode ( 13 ); root . left . right = newNode ( 12 ); root . right . left = newNode ( 13 ); root . right . right = newNode ( 8 ); Console . WriteLine ( 'Maximum Consecutive' + ' Increasing Path Length is ' + maxConsecutivePathLength ( root )); } } // This code has been contributed by 29AjayKumar
JavaScript < script > // Javascript Program to find Maximum Consecutive // Path Length in a Binary Tree // To represent a node of a Binary Tree class Node { constructor ( val ) { this . val = val ; this . left = this . right = null ; } } // Returns the maximum consecutive Path Length function maxPathLenUtil ( root prev_val prev_len ) { if ( root == null ) return prev_len ; // Get the value of Current Node // The value of the current node will be // prev Node for its left and right children let cur_val = root . val ; // If current node has to be a part of the // consecutive path then it should be 1 greater // than the value of the previous node if ( cur_val == prev_val + 1 ) { // a) Find the length of the Left Path // b) Find the length of the Right Path // Return the maximum of Left path and Right path return Math . max ( maxPathLenUtil ( root . left cur_val prev_len + 1 ) maxPathLenUtil ( root . right cur_val prev_len + 1 )); } // Find length of the maximum path under subtree rooted with this // node (The path may or may not include this node) let newPathLen = Math . max ( maxPathLenUtil ( root . left cur_val 1 ) maxPathLenUtil ( root . right cur_val 1 )); // Take the maximum previous path and path under subtree rooted // with this node. return Math . max ( prev_len newPathLen ); } // A wrapper over maxPathLenUtil(). function maxConsecutivePathLength ( root ) { // Return 0 if root is NULL if ( root == null ) return 0 ; // Else compute Maximum Consecutive Increasing Path // Length using maxPathLenUtil. return maxPathLenUtil ( root root . val - 1 0 ); } // Driver program to test above function let root = new Node ( 10 ); root . left = new Node ( 11 ); root . right = new Node ( 9 ); root . left . left = new Node ( 13 ); root . left . right = new Node ( 12 ); root . right . left = new Node ( 13 ); root . right . right = new Node ( 8 ); document . write ( 'Maximum Consecutive Increasing Path Length is ' + maxConsecutivePathLength ( root ) + '
' ); // This code is contributed by rag2127 < /script>
Sortida
Maximum Consecutive Increasing Path Length is 3
Complexitat temporal: O(n^2) on n és el nombre de nodes de l'arbre binari donat.
Espai auxiliar: O(log(n))
