Currently browsing: Algorithms

The Bin Packing problem is a classic combinatorial optimization problem with numerous practical applications, including resource allocation, logistics, and container loading. On LeetCode, you may encounter variations of this problem that challenge your ability to manage and optimize the packing of items into containers or bins efficiently. This article will explore the Bin Packing problem, […]

Mastering Interval Scheduling: A Guide to the Interval Scheduling Problem on LeetCode Interval scheduling is a classic optimization problem that deals with selecting the maximum number of non-overlapping intervals from a set. It has real-world applications in resource allocation, event scheduling, and time management. On LeetCode, you might encounter problems related to interval scheduling that […]

The Hamiltonian Path problem is a well-known problem in graph theory and computer science. It involves finding a path in a graph that visits each vertex exactly once. This problem has applications in various fields, including network design, scheduling, and computational biology. If you’re tackling algorithmic challenges on LeetCode, you may encounter variations of this […]

Counting inversions is a classic problem in computer science that has applications in sorting algorithms, data analysis, and more. If you’re working through algorithmic challenges on LeetCode, you might encounter this problem, which can help you understand the intricacies of sorting and inversion counting. In this article, we’ll explore the “Count Inversions” problem, discuss its […]

Backtracking is a powerful algorithmic technique used to solve problems involving combinations, permutations, and constraint satisfaction. On LeetCode, you’ll encounter a variety of problems where backtracking proves to be an efficient and elegant solution. In this article, we’ll explore the basics of backtracking, its applications, and some popular backtracking problems on LeetCode. What Is Backtracking? […]

If you’re diving into the world of algorithmic challenges on LeetCode, you might have stumbled upon the “Count Derangements” problem. This fascinating problem is a great way to test your understanding of permutations and combinatorial mathematics. In this article, we’ll explore the “Count Derangements” problem in detail, discuss its significance, and walk through a strategy […]

Here is an extensive list of topics, resources, and strategies to help you prepare for system design interviews: Core Concepts Scalability Horizontal vs Vertical Scaling Load Balancing Reliability Redundancy Failover Mechanisms Availability High Availability Systems SLA, SLO, and SLI Consistency CAP Theorem Strong vs Eventual Consistency Partition Tolerance Network Partitions Data Sharding Data Storage SQL […]

LeetCode patterns refer to common techniques or strategies used to solve coding problems on platforms like LeetCode. Recognizing and mastering these patterns can help you tackle a wide range of algorithmic challenges efficiently. Here are some key LeetCode patterns: Two Pointers: Use Case: Problems involving arrays, linked lists, or strings where you need to compare […]

Dijkstra’s algorithm is a popular algorithm used to find the shortest path between two nodes in a weighted graph. It was invented by Dutch computer scientist Edsger Dijkstra in 1956. The algorithm works by starting at the source node and iteratively exploring the neighboring nodes with the smallest distance from the source. It then updates […]

Randomized algorithms are a class of algorithms that use randomness to solve problems. Randomness is used to improve the expected performance or to provide a probabilistic guarantee of correctness. In this article, we will discuss some common randomized algorithms and their implementation. One of the most basic randomized algorithms is the randomization of inputs. This […]