From eb43caded303f123a7da78355723fa65ca40fd47 Mon Sep 17 00:00:00 2001 From: Francesco Biscani Date: Mon, 22 Mar 2021 09:32:10 +0100 Subject: [PATCH] Minor doc update. --- README.md | 2 +- doc/index.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index bcf23707..72ed6153 100644 --- a/README.md +++ b/README.md @@ -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 diff --git a/doc/index.md b/doc/index.md index c5b26e76..f762ca32 100644 --- a/doc/index.md +++ b/doc/index.md @@ -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