3 dépôts
Methods for calculating the total count of contiguous subarrays ending at each index.
Distinct from Subarray Sum Algorithms: Focuses on the total count of continuous subarrays rather than just those satisfying a specific sum range.
Explore 3 awesome GitHub repositories matching scientific & mathematical computing · Continuous Subarray Counting. Refine with filters or upvote what's useful.
This project is a curated educational resource and solution repository for algorithmic challenges, specifically focused on LeetCode problems. It serves as a technical reference for common data structures and algorithmic patterns, providing verified code implementations across multiple programming languages alongside detailed logic and complexity analysis. The repository functions as a comprehensive study guide for competitive programming and technical interview preparation. It includes specialized learning tools such as an Anki flashcard dataset for spaced repetition and a browser extension t
Determines the total number of contiguous subarrays within an array by summing occurrences.
LogicStack-LeetCode is a curated repository of solved algorithm problems and data structure implementations, primarily drawn from the LeetCode platform. Its core identity is a structured collection of solutions designed to support technical interview preparation and competitive programming practice, with each solution accompanied by complexity analyses to help engineers understand performance trade-offs. The repository distinguishes itself through its breadth of coverage across fundamental algorithmic patterns and data structures. It includes implementations for array manipulation, string pro
Uses prefix products with a sliding window to count subarrays whose product meets or exceeds a threshold.
This repository is a curated guide and implementation library of coding patterns used to solve data structures and algorithms problems. It serves as a technical interview study resource, providing a comprehensive set of strategies and computational logic examples for optimizing time and space complexity. The project focuses on standardized algorithmic patterns, including sliding windows, two pointers, and dynamic programming. It features specific implementations for a wide range of challenges, such as LeetCode problem solutions and specialized techniques like cyclic sort and bitwise XOR opera
Implements a sliding window to find contiguous subarrays with a product less than a target value.