The m-way search trees are multi-way trees which are generalised versions of binary trees where each node contains multiple elements. In an m-Way tree of order m, each node contains a maximum of m – 1 elements and m children.
The goal of m-Way search tree of height h calls for O(h) no. of accesses for an insert/delete/retrieval operation. Hence, it ensures that the height h is close to log_m(n + 1).
The number of elements in an m-Way search tree of height h ranges from a minimum of h to a maximum of .
An m-Way search tree of n elements ranges from a minimum height of log_m(n+1) to a maximum of n
An example of a 5-Way search tree is shown in the figure below. Observe how each node has at most 5 child nodes & therefore has at most 4 keys contained in it.
The structure of a node of an m-Way tree is given below:
- Here, count represents the number of children that a particular node has
- The values of a node stored in the array value
- The addresses of child nodes are stored in the child array
- The MAX macro signifies the maximum number of values that a particular node can contain
Searching in an m-Way search tree:
- Searching for a key in an m-Way search tree is similar to that of binary search tree
- To search for 77 in the 5-Way search tree, shown in the figure, we begin at the root & as 77> 76> 44> 18, move to the fourth sub-tree
- In the root node of the fourth sub-tree, 77< 80 & therefore we move to the first sub-tree of the node. Since 77 is available in the only node of this sub-tree, we claim 77 was successfully searched
- The function search() receives three parameters
- The first parameter is the value to be searched, second is the address of the node from where the search is to be performed and third is the address of a variable that is used to store the position of the value once found
- Initially a condition is checked whether the address of the node being searched is NULL
- If it is, then simply a NULL value is returned
- Otherwise, a function searchnode() is called which actually searches the given value
- If the search is successful the address of the node in which the value is found is returned
- If the search is unsuccessful then a recursive call is made to the search() function for the child of the current node
- The function searchnode() receives three parameters
- The first parameter is the value that is to be searched
- The second parameter is the address of the node in which the search is to be performed and third is a pointer pos that holds the address of a variable in which the position of the value that once found is stored
- This function returns a value 0 if the search is unsuccessful and 1 if it is successful
- In this function initially it is checked whether the value that is to be searched is less than the very first value of the node
- If it is then it indicates that the value is not present in the current node. Hence, a value 0 is assigned in the variable that is pointed to by pos and 0 is returned, as the search is unsuccessful
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- 2-3 Trees | (Search and Insert)
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- Print Common Nodes in Two Binary Search Trees
- Count the Number of Binary Search Trees present in a Binary Tree
- Total number of possible Binary Search Trees using Catalan Number
- Repeatedly search an element by doubling it after every successful search
- Generic Trees(N-array Trees)
- Why is Binary Search preferred over Ternary Search?
- Linear Search vs Binary Search
- Interpolation search vs Binary search
- Searching in an array where adjacent differ by at most k
- Array range queries for searching an element
- Real time optimized KMP Algorithm for Pattern Searching
- Best First Search (Informed Search)
- Sublist Search (Search a linked list in another list)
- Meta Binary Search | One-Sided Binary Search
- AA Trees | Set 1 (Introduction)
- Isomorphism in N-ary Trees
- B*-Trees implementation in C++
- DP on Trees | Set-3 ( Diameter of N-ary Tree )
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