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Algorithms for finding maximum sums from multiple non-overlapping subarrays of equal length.
Distinct from Subarray Sum Algorithms: Distinct from Subarray Sum Algorithms: specifically targets multiple disjoint subarrays, not single subarray sums.
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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
Solves the maximum sum of non-overlapping subarrays problem using prefix sums and dynamic programming.
LeetCode-Swift is a collection of algorithm solutions written in Swift, designed for coding interview preparation. Each solution is implemented as a self-contained function with no external dependencies, making it easy to run and test. The repository organizes solutions by topic and company, and every file includes time and space complexity annotations, allowing quick evaluation of algorithmic efficiency. What sets this repository apart is its flat file structure and the way solutions are tagged with the companies that asked them in interviews, enabling targeted practice. All code resides in
Finds the maximum sum achievable from three non-overlapping subarrays using DP.