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Implementation of Stack using Linked List in Java

A stack is a LIFO (Last In, First Out) data structure where elements are inserted and removed from the same end, called the top. While a stack is commonly implemented using a fixed-size array, it can also be backed by a linked list — which removes the size constraint entirely and allocates memory only as elements are pushed. In this post, we implement a stack using a singly linked list in Java. Each push operation adds a new node at the head of the list, and each pop removes the head node — making both operations O(1).

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Implementing Circular Queue in Java with Arrays

A circular queue is a fixed-size queue where the storage array is treated as a ring. When elements are dequeued from the front, those positions become available again for future insertions — eliminating the wasted space problem of linear array queues. The queue follows the FIFO (First In, First Out) principle: elements are added at the rear and removed from the front. This post presents a circular queue implementation in Java using a static array-backed design, demonstrating enqueue, dequeue, peek, and display operations through a menu-driven console program.

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Implementing Doubly Linked List in Java

A Doubly Linked List (DLL) is a linked data structure where each node holds a value and two pointers: one pointing to the next node and one pointing to the previous node. This bidirectional linkage enables forward and reverse traversal — something a singly linked list cannot do without extra memory. A doubly-linked list: each node stores a value, a link to the next node, and a link to the previous node. In this post, we implement a DLL in Java that supports insertion at the first position, last position, after a given position, and before a given position — as well as deletion, search, and both forward and reverse display.

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Implementation of Circular Queue in Java with Array

A Circular Queue (also called a Ring Buffer) is a queue data structure that treats its underlying array as if it were connected end-to-end in a circle. Unlike a linear queue, once the rear pointer reaches the end of the array, it wraps back to index 0 — allowing reuse of freed slots without shifting elements. This post implements a true circular queue in Java using an array, with proper wraparound logic for both the front and rear pointers. How a Circular Queue Works Both front and rear start at -1 (empty state). Enqueue: Advance rear with wraparound: rear = (rear + 1) % size. The queue is full when (rear + 1) % size == front. Dequeue: Advance front with wraparound: front = (front + 1) % size. Reset both to -1 when the last element is removed. Circular property: Elements can be added to index 0 again after front has moved past it.

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Implementing Binary Search Tree in Java

A Binary Search Tree (BST) is a node-based binary tree data structure where each node stores a key, and every node in the left subtree holds a key strictly smaller than the parent, while every node in the right subtree holds a key strictly greater. This ordering property makes BSTs excellent for fast lookup, insertion, and deletion — all in O(log n) time on average. In this post, we implement a BST in Java that supports insertion, search, and three traversal orders: inorder, preorder, and postorder. BST Properties One node is designated the root of the tree. Each internal node contains a key and has at most two child subtrees. The left subtree of a node contains only keys strictly less than the node's key. The right subtree of a node contains only keys strictly greater than the node's key. Each subtree is itself a valid BST.

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Evaluating Postfix Expression with Java

Postfix notation (also called Reverse Polish Notation or RPN) is a mathematical notation where every operator follows all of its operands. For example, the infix expression 3 + 4 becomes 3 4 + in postfix. This eliminates the need for parentheses and operator precedence rules, making it ideal for stack-based evaluation. In this post, we implement a Java program that evaluates a postfix expression using a stack. The program reads the expression as a string and produces the integer result.

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Program to Implement KMP Algorithm in Java

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.

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Program to Implement K-Naive Algorithm in Java

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.

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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!

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Mediatech: ४ महिने थोडक्यात

Mediatech... वडाळा येथे असलेलेली छोटीशी web development कंपनी. ऑफिस antop hill warehouse मध्ये. सोमवार २३ जून २०१४ रोजी मी या कंपनीत रुजू झालो व ७ नव्हेंबर २०१४ रोजी कंपनीमधून रजा घेतली. तसा कार्यकाल फक्त ४ महिने आणि काही दिवसांचा! पण हा वेळ अनेक विविधरूपी आठवणींनी भरलेला होता. Technical आणि developer point of view ने तर बऱ्याच आठवणी आहेत परंतु इतरही काही किस्से सांगण्यालायक आहेत.