Global approximations to the error function of real argument for vectorized computation
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866911189840166912 |
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| author | Laikov, Dimitri N. |
| author_facet | Laikov, Dimitri N. |
| contents | The error function of real argument can be uniformly approximated to a given accuracy by a single closed-form expression for the whole variable range either in terms of addition, multiplication, division, and square root operations only, or also using the exponential function. The coefficients have been tabulated for up to 128-bit precision. Tests of a computer code implementation using the standard single- and double-precision floating-point arithmetic show good performance and vectorizability. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_05068 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Global approximations to the error function of real argument for vectorized computation Laikov, Dimitri N. Chemical Physics Numerical Analysis The error function of real argument can be uniformly approximated to a given accuracy by a single closed-form expression for the whole variable range either in terms of addition, multiplication, division, and square root operations only, or also using the exponential function. The coefficients have been tabulated for up to 128-bit precision. Tests of a computer code implementation using the standard single- and double-precision floating-point arithmetic show good performance and vectorizability. |
| title | Global approximations to the error function of real argument for vectorized computation |
| topic | Chemical Physics Numerical Analysis |
| url | https://arxiv.org/abs/2504.05068 |