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Explain in detail about the Ruby arrays
Ruby arrays have many interesting and powerful methods. Besides indexing operations which go well beyond those discussed above, arrays have operations based on set operations (membership, union, intersection, and relative complement), string operations (searching, concatenation, and replacement), stack operations (pop and push), and queue operations (shift and append), as well as more traditional array-based operations (sorting, removing duplicates, reversing, and so forth). Arrays are also tightly bound up with Ruby's iteration mechanism.
An AVL tree is a binary search tree that has the given properties: The sub-tree of each of the node differs in height through at most one. Each sub tree will be an AVL tre
implement multiple stacks in an array and write different algorithms to perform operations on it
how we can convert a graph into tree
Define min-heap A min-heap is a complete binary tree in which each element is less than or equal to its children. All the principal properties of heaps remain valid for min-hea
#why all the 4 operations i.e. insertion n deletion from rear end and front end is valid in input restricted DEQUE
There are three typical ways of recursively traversing a binary tree. In each of these, the left sub-trees & right sub-trees are visited recursively and the distinguishing feature
The two famous methods for traversing are:- a) Depth first traversal b) Breadth first
bst for 40,60,25,50,30,70,35,10,55,65,12
What is the best case complexity of quick sort In the best case complexity, the pivot is in the middle.
Objectives The purpose of this project is to give you significant exposure to Binary Search Trees (BST), tree traversals, and recursive code. Background An arbitrary BST i
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