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| Auteur principal: | |
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| Format: | Preprint |
| Publié: |
2024
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2404.14457 |
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| _version_ | 1866913324800671744 |
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| author | Chaudhary, Vivek |
| author_facet | Chaudhary, Vivek |
| contents | Graph coloring is a problem with varied applications in industry and science such as scheduling, resource allocation, and circuit design. The purpose of this paper is to establish if a new gradient based iterative solver framework known as heat diffusion can solve the graph coloring problem. We propose a solution to the graph coloring problem using the heat diffusion framework. We compare the solutions against popular methods and establish the competitiveness of heat diffusion method for the graph coloring problem. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_14457 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Graph Coloring Using Heat Diffusion Chaudhary, Vivek Machine Learning 05 Graph coloring is a problem with varied applications in industry and science such as scheduling, resource allocation, and circuit design. The purpose of this paper is to establish if a new gradient based iterative solver framework known as heat diffusion can solve the graph coloring problem. We propose a solution to the graph coloring problem using the heat diffusion framework. We compare the solutions against popular methods and establish the competitiveness of heat diffusion method for the graph coloring problem. |
| title | Graph Coloring Using Heat Diffusion |
| topic | Machine Learning 05 |
| url | https://arxiv.org/abs/2404.14457 |