TRY numbered list

gpaw/README.md

@@ -67,9 +67,9 @@ Before installing the CUDA version of GPAW, the required packages should be
 compiled using Intel compilers. In addition to using Intel compilers, there
 are two additional steps compared to a standard installation:
 
-1) Compile the CUDA files after preparing a suitable make.inc (in c/cuda/) by
-modifying the default options and paths to match your system. The following
-compiler options may offer a good starting point.
+1. Compile the CUDA files after preparing a suitable make.inc (in c/cuda/) by
+   modifying the default options and paths to match your system. The following
+   compiler options may offer a good starting point.
 
 ```shell
 CC        = icc
@@ -78,13 +78,13 @@ NVCC      = nvcc -ccbin=icpc
 NVCCFLAGS = $(CUGPAW_DEFS) -O3 -arch=sm_20 -m64 --compiler-options '-fPIC -O3'
 ```
 
-To use a dynamic link to Libxc, please add a corresponding include flag to the
-CUGPAW_INCLUDES (e.g. '-I/path/to/libxc/include') and a
+   To use a dynamic link to Libxc, please add a corresponding include flag to the
+   CUGPAW_INCLUDES (e.g. '-I/path/to/libxc/include') and a
 
-It is possible that you may also need to add additional include flags for MKL
-and Libxc in CUGPAW_INCLUDES (e.g. '-I/path/to/mkl/include').
+   It is possible that you may also need to add additional include flags for MKL
+   and Libxc in CUGPAW_INCLUDES (e.g. '-I/path/to/mkl/include').
 
-After making the necessary changes, simply run make (in the c/cuda path).
+   After making the necessary changes, simply run make (in the c/cuda path).
 
 2) Edit your GPAW setup script (customize.py) to add correct link and compile
 options for CUDA. The relevant lines are e.g.: