From 7550900835e9f759aa5d70d288ec8b2c6123903e Mon Sep 17 00:00:00 2001 From: Julius Witte Date: Wed, 27 Sep 2017 13:32:17 +0200 Subject: [PATCH] Added a changelog entry. --- doc/news/changes/minor/20170927JuliusWitte | 7 +++++++ include/deal.II/lac/tensor_product_matrix.h | 8 +++++--- 2 files changed, 12 insertions(+), 3 deletions(-) create mode 100644 doc/news/changes/minor/20170927JuliusWitte diff --git a/doc/news/changes/minor/20170927JuliusWitte b/doc/news/changes/minor/20170927JuliusWitte new file mode 100644 index 0000000000..69a5713cfc --- /dev/null +++ b/doc/news/changes/minor/20170927JuliusWitte @@ -0,0 +1,7 @@ +Changed: Split TensorProductMatrixSymmetricSum into base and derived class. +Added a template specialization for TensorProductMatrixSymmetricSum +in case of having a VectorizedArray as arithmetic type. +In addition, TensorProductMatrixSymmetricSum is now able to handle +distinct 1D matrices in each tensor dimension. +
+(Julius Witte, 2017/09/27) diff --git a/include/deal.II/lac/tensor_product_matrix.h b/include/deal.II/lac/tensor_product_matrix.h index 03e0dda50a..5fbad76fa4 100644 --- a/include/deal.II/lac/tensor_product_matrix.h +++ b/include/deal.II/lac/tensor_product_matrix.h @@ -290,9 +290,11 @@ private: -/** @copydoc TensorProductMatrixSymmetricSum - * This is the template specialization for @p Number being - * VectorizedArray. +/** + * This is the template specialization for VectorizedArray + * being the arithmetic template. For a detailed description see + * the main documentation of the generic + * TensorProductMatrixSymmetricSum class. * * @author Martin Kronbichler and Julius Witte, 2017 */ -- 2.39.5