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Minor doc update.
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bluescarni committed Mar 22, 2021
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -39,7 +39,7 @@ heyoka.py is a Python library for the integration of ordinary differential equat
* the ability to maintain machine precision accuracy over
tens of billions of timesteps,
* high-precision zero-cost dense output,
* accurate event detection,
* accurate and reliable event detection,
* batch mode integration to harness the power of modern
[SIMD](https://en.wikipedia.org/wiki/SIMD) instruction sets,
* a high-performance implementation of Taylor's method based
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2 changes: 1 addition & 1 deletion doc/index.md
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Expand Up @@ -14,7 +14,7 @@ equations (ODEs) via Taylor's method. Notable features include:
- the ability to maintain machine precision accuracy over tens of
billions of timesteps,
- high-precision zero-cost dense output,
- accurate event detection,
- accurate and reliable event detection,
- batch mode integration to harness the power of modern
[SIMD](https://en.wikipedia.org/wiki/SIMD) instruction sets,
- a high-performance implementation of Taylor's method based on
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