A doubly-linked list is a linked data structure that consists of a set of sequentially linked records called nodes. Each node contains two fields, called links, that are references to the previous and to the next node in the sequence of nodes.
A doubly-linked list whose nodes contain three fields: an integer value, the link to the next node, and the link to the previous node.
The two node links allow traversal of the list in either direction. Here is java implementation of DLL.
Binary search trees (BST), sometimes called ordered or sorted binary trees, are a class of data structures used to implement lookup tables and dynamic sets. They store data items, known as keys, and allow fast insertion and deletion of such keys, as well as checking whether a key is present in a tree.
The common properties of binary search trees are as follows:
One node is designated the root of the tree.
Each internal node contains a key and has two subtrees.
The leaves (final nodes) of the tree contain no key. Leaves are commonly represented by a special leaf or nil symbol, a NULL pointer, etc.
Each subtree is itself a binary search tree.
The left subtree of a node contains only nodes with keys strictly less than the node’s key.
The right subtree of a node contains only nodes with keys strictly greater than the node’s key.
Postfix Expression or Reverse Polish notation (RPN) is a mathematical notation in which every operator follows all of its operands. Here is java program to evaluate such expressions.
In this post, we’ll explore how to implement the Knuth-Morris-Pratt (KMP) string matching algorithm in Java. The KMP algorithm is an efficient way to search for a substring within a given string. It improves upon the brute-force approach by skipping over unnecessary comparisons after partial matches.
What is the Knuth-Morris-Pratt (KMP) Algorithm?
The KMP algorithm searches for a substring (pattern) in a larger string (text) efficiently by avoiding redundant comparisons. The key idea behind KMP is that when a mismatch happens, it uses previously gathered information about the pattern to shift the search window instead of starting from scratch.
The algorithm uses two main components:
Failure Function (Prefix Table): It helps determine how much the pattern should shift when a mismatch occurs.
Search Process: Once the failure function is computed, the algorithm searches through the text to find the pattern.
In this post, we’ll implement the K-Naive (Brute-Force) string matching algorithm in Java. This is the simplest form of string search, where we check for the presence of a pattern in a text by checking one by one at every possible position.
What is the K-Naive (Brute-Force) Algorithm?
The Brute-Force algorithm searches for a substring (pattern) within a larger string (text) by checking for a match at every position in the text. It is simple to understand and implement but can be inefficient for large inputs.
जगातील गोष्टी पाहाव्यात, ऐकाव्यात आणि “नशिबात नाही” अशी मनाला समजूत घालून विसरून जाव्यात! जग सुंदर आहे कारण ते तुमचं नाही… जगातील अनेक गोष्टी सुंदर आहेत कारण त्या तुमच्या नाहीत!