Learn it from developers who built it.
Tutorials, how-tos and deep dives on AI, .NET, C#, cloud and developer tools, written by the community.
Master Maximum Subset XOR in Java! Learn the efficient XOR Basis/Gaussian Elimination approach to solve this problem in O(n) time.
Split an array into minimum subsets of consecutive numbers. Count starting points efficiently using a HashSet for O(n) time complexity.
Construct a full binary tree from preorder and mirror preorder traversals. Learn the unique reconstruction method for full binary trees.
Find the minimum deletions to make an array strictly increasing by calculating the Longest Increasing Subsequence (LIS) efficiently.
Master the Cut Matrix problem with DP + Binary Search. Learn to slice grids into k valid pieces efficiently, optimizing cuts for speed.
Find the smallest non-zero starting value for x to keep it non-negative throughout array processing using a greedy reverse traversal.
Find the minimum operations to restore a permutation array to its original state by analyzing disjoint cycles and their LCM.
Master asynchronous programming in Java! Learn to build responsive apps with CompletableFuture, ExecutorService, and best practices for I/O, APIs, and more.
Learn how to count array pairs whose sum is divisible by K in Java using remainders and a frequency array in O(n) time.
Optimize tower signal reachability by reversing DFS/BFS from stations. Efficiently find towers connecting to both P and Q.
Efficiently count binary substrings with more 1s than 0s using prefix sums and Fenwick trees in O(N log N) time.
Solve the Subset Sum Divisible by K problem efficiently using dynamic programming. Avoid brute force by tracking remainders modulo K.
Find minimum insertions/deletions to transform array 'a' to 'b' using LCS and LIS in O(N log N) time. Efficient for large datasets.
Learn how to solve the Count Matching Subsequences problem using Dynamic Programming in Java with an O(n × m) approach, explanation, examples, and code.
Generate n-digit numbers with strictly increasing digits. Efficiently construct valid sequences using recursion and backtracking.
Master the 'Maximum Area Between Bars' problem using the efficient two-pointer approach. Learn the optimal O(n) solution for finding the largest container.
Find the last digit of a^b for huge numbers. Learn about cyclicity of last digits and efficient modulo operations for large exponents.
Calculate the coverage of zeros in a binary matrix. Sum coverage for each zero by checking for adjacent ones in four directions.
Maximize rope cut product! Discover the optimal strategy of cutting into 3s and a Java solution with O(log n) complexity.
Efficiently construct a list using XOR queries by processing in reverse. Avoids costly array updates with bit manipulation.
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.
Everything on Java, not only its articles: the Java page →
Write an article and earn +1,000 SHARP when it is approved.
Write an article