Implement Kruskal's Minimum Spanning Tree Algorithm #12942
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Implements koii-network#12926 Implements koii-network#12916 Implements koii-network#12885 Implements koii-network#12820 Implements koii-network#12741 Implements koii-network#12740 Implements koii-network#12718 Implements koii-network#12633 # Implement Kruskal's Minimum Spanning Tree Algorithm ## Task Implement Kruskal's algorithm to find the Minimum Spanning Tree (MST) of a weighted, undirected graph. ## Acceptance Criteria All tests must pass. The program must use Kruskal's algorithm to find the MST. A boolean array 'visited[]' must track edge visits. Implement a Disjoint Set Union (DSU) or Union-Find data structure using rank and path compression. The solution must output the minimum total weight of the MST formed. The graph is undirected with no self-loops or multiple edges between the same vertices. Edge weights are non-negative. ## Summary of Changes Implemented Kruskal's Minimum Spanning Tree algorithm with the following key components: - Created a Disjoint Set Union (DSU) data structure with rank and path compression - Implemented edge sorting and selection algorithm - Added visited[] array to track edge visits - Developed function to calculate minimum total weight of the MST - Ensured handling of undirected graphs with non-negative edge weights ## Test Cases - Verify DSU data structure correctly merges and finds sets - Check edge sorting works correctly for weighted edges - Validate MST algorithm finds minimum total weight - Ensure no self-loops or multiple edges are processed - Test handling of graphs with different numbers of vertices - Verify path compression in DSU reduces time complexity - Check visited[] array tracks edge visits correctly This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai.
holinkasa
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May 18, 2025
Implements koii-network#12942 Implements koii-network#12926 Implements koii-network#12916 Implements koii-network#12885 Implements koii-network#12820 Implements koii-network#12741 Implements koii-network#12740 Implements koii-network#12718 Implements koii-network#12633 # Implement Kruskal's Minimum Spanning Tree Algorithm ## Task Implement Kruskal's algorithm to find the Minimum Spanning Tree (MST) of a weighted, undirected graph. ## Acceptance Criteria All tests must pass. The program must use Kruskal's algorithm to find the MST. A boolean array 'visited[]' must track edge visits. Implement a Disjoint Set Union (DSU) or Union-Find data structure using rank and path compression. The solution must output the minimum total weight of the MST formed. The graph is undirected with no self-loops or multiple edges between the same vertices. Edge weights are non-negative. ## Summary of Changes Implemented Kruskal's Minimum Spanning Tree algorithm with the following key components: - Created a Disjoint Set Union (DSU) data structure with rank and path compression - Implemented edge sorting and selection algorithm - Added visited[] array to track edge visits - Developed function to calculate minimum total weight of the MST - Ensured handling of undirected graphs with non-negative edge weights ## Test Cases - Verify DSU data structure correctly merges and finds sets - Check edge sorting works correctly for weighted edges - Validate MST algorithm finds minimum total weight - Ensure no self-loops or multiple edges are processed - Test handling of graphs with different numbers of vertices - Verify path compression in DSU reduces time complexity - Check visited[] array tracks edge visits correctly This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai.
holinkasa
pushed a commit
to holinkasa/prometheus-beta
that referenced
this pull request
May 18, 2025
Implements koii-network#12953 Implements koii-network#12942 Implements koii-network#12926 Implements koii-network#12916 Implements koii-network#12885 Implements koii-network#12820 Implements koii-network#12741 Implements koii-network#12740 Implements koii-network#12718 Implements koii-network#12633 # Implement Kruskal's Minimum Spanning Tree Algorithm ## Task Implement Kruskal's algorithm to find the Minimum Spanning Tree (MST) of a weighted, undirected graph. ## Acceptance Criteria All tests must pass. The program must use Kruskal's algorithm to find the MST. A boolean array 'visited[]' must track edge visits. Implement a Disjoint Set Union (DSU) or Union-Find data structure using rank and path compression. The solution must output the minimum total weight of the MST formed. The graph is undirected with no self-loops or multiple edges between the same vertices. Edge weights are non-negative. ## Summary of Changes Implemented Kruskal's Minimum Spanning Tree algorithm with the following key components: - Created a Disjoint Set Union (DSU) data structure with rank and path compression - Implemented edge sorting and selection algorithm - Added visited[] array to track edge visits - Developed function to calculate minimum total weight of the MST - Ensured handling of undirected graphs with non-negative edge weights ## Test Cases - Verify DSU data structure correctly merges and finds sets - Check edge sorting works correctly for weighted edges - Validate MST algorithm finds minimum total weight - Ensure no self-loops or multiple edges are processed - Test handling of graphs with different numbers of vertices - Verify path compression in DSU reduces time complexity - Check visited[] array tracks edge visits correctly This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai. This PR was created automatically by a Koii Network AI Agent powered by Together.ai.
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Implements #12926
Implements #12916
Implements #12885
Implements #12820
Implements #12741
Implements #12740
Implements #12718
Implements #12633
Implement Kruskal's Minimum Spanning Tree Algorithm
Task
Implement Kruskal's algorithm to find the Minimum Spanning Tree (MST) of a weighted, undirected graph.
Acceptance Criteria
All tests must pass. The program must use Kruskal's algorithm to find the MST. A boolean array 'visited[]' must track edge visits. Implement a Disjoint Set Union (DSU) or Union-Find data structure using rank and path compression. The solution must output the minimum total weight of the MST formed. The graph is undirected with no self-loops or multiple edges between the same vertices. Edge weights are non-negative.
Summary of Changes
Implemented Kruskal's Minimum Spanning Tree algorithm with the following key components:
Test Cases
This PR was created automatically by a Koii Network AI Agent powered by Together.ai.
This PR was created automatically by a Koii Network AI Agent powered by Together.ai.
This PR was created automatically by a Koii Network AI Agent powered by Together.ai.
This PR was created automatically by a Koii Network AI Agent powered by Together.ai.
This PR was created automatically by a Koii Network AI Agent powered by Together.ai.
This PR was created automatically by a Koii Network AI Agent powered by Together.ai.
This PR was created automatically by a Koii Network AI Agent powered by Together.ai.
This PR was created automatically by a Koii Network AI Agent powered by Together.ai.