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Capturing Polynomial Time using Modular Decomposition
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| Published in: | Logical Methods in Computer Science |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2019
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| Subjects: | |
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| _version_ | 1864030187418550272 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Logical Methods in Computer Science |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:5847 |
| institution | FRELIP |
| journal_source_facet | Logical Methods in Computer Science |
| publishDate | 2019 |
| publishDateSort | 2019 |
| record_format | rss_article |
| spellingShingle | Capturing Polynomial Time using Modular Decomposition Computer Science & Information Science Computer Science & IT Engineering & Technology |
| sub_discipline_display | Computer Science & IT |
| sub_discipline_facet | Computer Science & IT |
| subject_display | Computer Science & Information Science Computer Science & IT Engineering & Technology Computer Science & Information Science Computer Science & IT Engineering & Technology |
| subject_facet | Computer Science & Information Science Computer Science & IT Engineering & Technology |
| title | Capturing Polynomial Time using Modular Decomposition |
| title_auth | Capturing Polynomial Time using Modular Decomposition |
| title_full | Capturing Polynomial Time using Modular Decomposition |
| title_fullStr | Capturing Polynomial Time using Modular Decomposition |
| title_full_unstemmed | Capturing Polynomial Time using Modular Decomposition |
| title_short | Capturing Polynomial Time using Modular Decomposition |
| title_sort | capturing polynomial time using modular decomposition |
| topic | Computer Science & Information Science Computer Science & IT Engineering & Technology |
| url | https://doi.org/10.23638/LMCS-15(1:24)2019 |