
Contributed to the TeogopK/Data_Structures_and_Algorithms_FMI repository by developing reusable algorithmic components and advanced array manipulation features over a two-month period. Focused on C++ implementations, the work included solutions for graph problems such as connected component counting using depth-first search, Kruskal’s algorithm with custom component weights, and recursive tree traversal utilities for educational and competitive programming contexts. Additionally, delivered array processing tasks that grouped elements by absolute value and performed linear-time sorting with position-based ordering, enhancing data determinism for consultation workflows. Emphasized modular design and clear algorithmic structure, supporting both teaching materials and analytics-ready data processing in C++ and Markdown.
For 2025-10, delivered key features in TeogopK/Data_Structures_and_Algorithms_FMI focused on array manipulation in the consultation module. Implemented two distinct tasks to enhance data processing and determinism: (1) rearranging an array so numbers with the same absolute value are adjacent using partition and counting sort approaches; (2) sorting an array where even positions are ascending and odd positions are descending in linear time, with output of values and original indices. These changes improve analytics readiness and deterministic data presentation for consultation workflows.
For 2025-10, delivered key features in TeogopK/Data_Structures_and_Algorithms_FMI focused on array manipulation in the consultation module. Implemented two distinct tasks to enhance data processing and determinism: (1) rearranging an array so numbers with the same absolute value are adjacent using partition and counting sort approaches; (2) sorting an array where even positions are ascending and odd positions are descending in linear time, with output of values and original indices. These changes improve analytics readiness and deterministic data presentation for consultation workflows.
Month: 2025-01 Overview: Delivered a focused set of algorithmic capabilities in the TeogopK/Data_Structures_and_Algorithms_FMI repo, aimed at educational and competitive programming use. Emphasis was on building reusable, library-grade components with clear algorithms relevant to data structures and graph problems.
Month: 2025-01 Overview: Delivered a focused set of algorithmic capabilities in the TeogopK/Data_Structures_and_Algorithms_FMI repo, aimed at educational and competitive programming use. Emphasis was on building reusable, library-grade components with clear algorithms relevant to data structures and graph problems.

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