Write portable, high-performance applications with Java. Learn language features, collections, streams, concurrency, JVM tuning, build tools, testing, and popular frameworks to deliver secure, maintainable services and desktop or Android apps.
Find the optimal split point in bracket strings where opening brackets left equal closing brackets right. Efficient O(n) solution.
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.
Unlock the secret to counting valid parentheses! Discover the Catalan Number pattern and solve this common coding challenge efficiently.
Discover which elements are discoverable via binary search on unsorted arrays. Learn the O(n) algorithm and its O(log n) space complexity.
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.
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.
Master the Stock Span Problem with the Monotonic Stack pattern. Efficiently find consecutive days with lower or equal stock prices in O(n) time.
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 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 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 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 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 solve the Next Element With Greater Frequency problem using HashMap and Monotonic Stack. Includes intuition, dry run, complexity analysis, and optimized Java solution.
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).
Maximize stock-trading profit with a transaction fee using a two-state dynamic programming approach. Includes an O(n)-time, O(1)-space Java solution using hold and cash states.
Calculate the number of unique Binary Search Trees (BSTs) possible for each element in an array as the root. Leverages Catalan numbers for efficient computation.
Master the 'Opposite Sign Pair Reduction' problem! Learn how to efficiently reduce an array using a stack-based approach, simulating collisions. Includes Java code & complexity analysis.
Learn how to find the length of the longest cycle in a directed graph where each node has at most one outgoing edge. This article explains the concept using a functional graph approach, combined with DFS and timestamp tracking to efficiently detect cycles and compute their lengths in O(V + E) time. Includes a clean Java implementation, step-by-step explanation, and edge case handling—ideal for coding interviews and advanced graph problem practice.
Learn how to remove all spaces from a given string in Java while preserving the order of characters. This article explains a simple O(n) solution using StringBuilder, along with step-by-step logic and examples.
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