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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2404.05177 |
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| _version_ | 1866913511167229952 |
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| author | Kinoshita, Yasunori Li, Baitian |
| author_facet | Kinoshita, Yasunori Li, Baitian |
| contents | We present an algebraic algorithm that computes the composition of two power series in softly linear time complexity. The previous best algorithms are $\mathop{\mathrm O}(n^{1+o(1)})$ by Kedlaya and Umans (FOCS 2008) and an $\mathop{\mathrm O}(n^{1.43})$ algebraic algorithm by Neiger, Salvy, Schost and Villard (JACM 2023).
Our algorithm builds upon the recent Graeffe iteration approach to manipulate rational power series introduced by Bostan and Mori (SOSA 2021). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_05177 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Power Series Composition in Near-Linear Time Kinoshita, Yasunori Li, Baitian Symbolic Computation I.1.2 We present an algebraic algorithm that computes the composition of two power series in softly linear time complexity. The previous best algorithms are $\mathop{\mathrm O}(n^{1+o(1)})$ by Kedlaya and Umans (FOCS 2008) and an $\mathop{\mathrm O}(n^{1.43})$ algebraic algorithm by Neiger, Salvy, Schost and Villard (JACM 2023). Our algorithm builds upon the recent Graeffe iteration approach to manipulate rational power series introduced by Bostan and Mori (SOSA 2021). |
| title | Power Series Composition in Near-Linear Time |
| topic | Symbolic Computation I.1.2 |
| url | https://arxiv.org/abs/2404.05177 |