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Specialized MST algorithms for points in a Manhattan metric space using octant search.
Distinct from Minimum Spanning Tree Algorithms: Specializes the general MST algorithm for Manhattan distance and Euclidean points.
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This project is a comprehensive reference for algorithms and data structures used to solve complex computational problems in competitive programming. It serves as a technical resource for implementing advanced mathematical programming, computational geometry, and graph theory. The repository provides detailed implementation guides for diversifying algorithmic techniques, including top-down and bottom-up dynamic programming optimization, number theory, and linear algebra. It features specific guides for complex tasks such as constructing planar graphs, solving linear Diophantine equations, and
Constructs a minimum spanning tree for Manhattan distances by identifying nearest neighbors in eight octants.