Articles by Sandhiya Priya

A greedy stack-based problem where we adjust k based on string length and remove characters to form the lexicographically smallest string possible. The solution uses monotonic stack technique for optimal character removal.

A linked list problem where nodes are removed if a greater value exists on their right side. The optimal solution uses list reversal and a greedy traversal with a running maximum to achieve O(n) time complexity.

Learn how to set a default value in ASP.NET DropDownList for both static and dynamic data sources. Step-by-step guide with code examples to bind grids based on selected values.

This article explains how to efficiently find the kth missing positive number in a sorted array. Using the insight that the number of missing numbers before an index i is arr[i] - (i+1), the problem can be solved with binary search, reducing time complexity from O(n + k) to O(log n). The article includes step-by-step examples and a clear Java implementation.

This article explains how to find a peak element in a 2D matrix efficiently. A peak element is defined as an element that is greater than or equal to its four immediate neighbors (top, bottom, left, right). For edge and corner elements, missing neighbors are treated as negative infinity.

This problem involves finding the number of elements in an unsorted array that lie within a given range [a, b] for multiple queries. A naive approach would check each element for every query, resulting in high time complexity. A more efficient solution uses sorting and binary search: Sort the array to enable fast searching. For each query [a, b]: Use a lower bound search to find the first element = a. Use an upper bound search to find the first element > b. The difference between these indices gives the count of elements in the range. This approach significantly reduces time complexity to O(n log n + q log n) while keeping space usage minimal. It’s a classic example of combining sorting with binary search to handle range-based queries efficiently.

Learn how to find the K-th element of two sorted arrays using binary search. Understand the partition-based approach, intuition, complexity analysis, and optimized Java solution with O(log(min(n, m))) time complexity.

Learn how to efficiently count elements less than or equal to a given value in a sorted rotated array using binary search. Includes concept, pivot detection, and Java solution with O(log n) complexity.

Learn how to efficiently count array elements within given ranges using sorting and binary search. Includes intuition, lower bound and upper bound concepts, complexity analysis, and Java solution.

Learn how to count the number of pairs in an array whose XOR is less than a given number K using Trie-based optimization. Includes concept explanation, examples, and efficient Java solution.

Learn how to add two numbers represented by linked lists using an efficient O(n + m) approach. Understand the concept, reversing linked lists, carry handling, and Java solution with detailed explanation.

Learn how to solve the Matrix Chain Multiplication Brackets problem using Dynamic Programming. Understand the concept, optimal parenthesization, DP table construction, and Java implementation to print the minimum-cost multiplication order.

Learn how to count the number of ways to place a black and white knight on an n x m chessboard so that they do not attack each other. Step-by-step explanation, formula derivation, and efficient Java solution included.

Learn how to solve the “Remove K Digits” problem using a greedy monotonic stack approach. This article explains how to efficiently remove k digits from a number string to form the smallest possible result while maintaining digit order, along with a Java implementation and clear intuition.

Learn how to solve Count Subset With Target Sum II using the Meet in the Middle technique. Includes intuition, dry run, complexity analysis, and optimized Java code.

Learn how to solve the Next Element With Greater Frequency problem using HashMap and Monotonic Stack. Includes intuition, dry run, complexity analysis, and optimized Java solution.

Learn how to detect redundant brackets in an expression using a stack. Includes intuition, dry run, complexity analysis, and optimized Java O(n) solution.

earn how to solve the Candy problem using an optimal greedy algorithm. Includes intuition, dry run, complexity analysis, and Java solution with O(n) time and O(1) space.

Learn how to solve the Palindrome Pairs problem using HashMap and palindrome prefix-suffix checking. Includes intuition, dry run, complexity analysis, and optimized Java code.

Learn how to find the lexicographically smallest string after removing K characters using a monotonic stack in Java. Includes explanation, dry run, and optimized O(n) solution.

Learn how to fix the "Maximum Request Length Exceeded" error in ASP.NET and IIS. Configure maxRequestLength and maxAllowedContentLength settings to support large file uploads up to 100 MB or more.

Fix Postman Web's 'Cloud agent cannot send request to localhost' error! Learn how to connect to your local API using the Desktop Agent, Ngrok, or the full app. Quick solutions inside!

Find the position of the single set bit in an integer's binary representation. Learn the bit manipulation trick using n & (n-1) for efficient problem-solving.

Find the Kth largest element in a stream efficiently using a Min Heap. This approach optimizes for streaming data and top K element retrieval. O(n log k).

Learn how to check if a given array represents a valid Max Heap. This guide explains the heap property, array representation, and provides an efficient O(n) Java solution with examples. Perfect for beginners and coding interview preparation.