diff --git a/include/GooseFEM/Allocate.h b/include/GooseFEM/Allocate.h
index 614c567..10eb95c 100644
--- a/include/GooseFEM/Allocate.h
+++ b/include/GooseFEM/Allocate.h
@@ -1,80 +1,80 @@
 /**
-Common allocation methods.
-
-\file Allocate.h
-\copyright Copyright 2017. Tom de Geus. All rights reserved.
-\license This project is released under the GNU Public License (GPLv3).
-*/
+ *  Common allocation methods.
+ *
+ *  \file Allocate.h
+ *  \copyright Copyright 2017. Tom de Geus. All rights reserved.
+ *  \license This project is released under the GNU Public License (GPLv3).
+ */
 
 #ifndef GOOSEFEM_ALLOCATE_H
 #define GOOSEFEM_ALLOCATE_H
 
 #include "config.h"
 
 namespace GooseFEM {
 
 /**
-"Broadcast" a scalar stored in an array (e.g. ``[r, s]``) to the same scalar of all
-tensor components of a tensor of certain rank (e.g. for rank 2: ``[r, s, i, j]``).
-
-\param arg An array with scalars.
-\param ret Corresponding array with tensors.
-*/
+ *  "Broadcast" a scalar stored in an array (e.g. ``[r, s]``) to the same scalar of all
+ *  tensor components of a tensor of certain rank (e.g. for rank 2: ``[r, s, i, j]``).
+ *
+ *  \param arg An array with scalars.
+ *  \param ret Corresponding array with tensors.
+ */
 template <class T, class R>
 inline void asTensor(const T& arg, R& ret);
 
 /**
-"Broadcast" a scalar stored in an array (e.g. ``[r, s]``) to the same scalar of all
-tensor components of a tensor of certain rank (e.g. for rank 2: ``[r, s, i, j]``).
-
-\param arg An array with scalars.
-\param shape The shape of the added tensor dimensions (e.g.: ``[i, j]``).
-\return Corresponding array with tensors.
-*/
+ *  "Broadcast" a scalar stored in an array (e.g. ``[r, s]``) to the same scalar of all
+ *  tensor components of a tensor of certain rank (e.g. for rank 2: ``[r, s, i, j]``).
+ *
+ *  \param arg An array with scalars.
+ *  \param shape The shape of the added tensor dimensions (e.g.: ``[i, j]``).
+ *  \return Corresponding array with tensors.
+ */
 template <class T, class S>
 inline auto AsTensor(const T& arg, const S& shape);
 
 /**
-\copydoc AsTensor(const T& arg, const S& shape)
-*/
+ *  \copydoc AsTensor(const T& arg, const S& shape)
+ */
 template <class T, class I, size_t L>
 inline auto AsTensor(const T& arg, const I (&shape)[L]);
 
 /**
-"Broadcast" a scalar stored in an array (e.g. ``[r, s]``) to the same scalar of all
-tensor components of a tensor of certain rank (e.g. for rank 2: ``[r, s, n, n]``).
-
-\tparam rank Number of tensor dimensions (number of dimensions to add to the input).
-\param arg An array with scalars.
-\param n The shape along each of the added dimensions.
-\return Corresponding array with tensors.
-*/
+ *  "Broadcast" a scalar stored in an array (e.g. ``[r, s]``) to the same scalar of all
+ *  tensor components of a tensor of certain rank (e.g. for rank 2: ``[r, s, n, n]``).
+ *
+ *  \tparam rank Number of tensor dimensions (number of dimensions to add to the input).
+ *  \param arg An array with scalars.
+ *  \param n The shape along each of the added dimensions.
+ *  \return Corresponding array with tensors.
+ */
 template <size_t rank, class T>
 inline auto AsTensor(const T& arg, size_t n);
 
 /**
-"Broadcast" a scalar stored in an array (e.g. ``[r, s]``) to the same scalar of all
-tensor components of a tensor of certain rank (e.g. for rank 2: ``[r, s, n, n]``).
-
-\param rank Number of tensor dimensions (number of dimensions to add to the input).
-\param arg An array with scalars.
-\param n The shape along each of the added dimensions.
-\return Corresponding array with tensors.
-*/
+ *  "Broadcast" a scalar stored in an array (e.g. ``[r, s]``) to the same scalar of all
+ *  tensor components of a tensor of certain rank (e.g. for rank 2: ``[r, s, n, n]``).
+ *
+ *  \param rank Number of tensor dimensions (number of dimensions to add to the input).
+ *  \param arg An array with scalars.
+ *  \param n The shape along each of the added dimensions.
+ *  \return Corresponding array with tensors.
+ */
 template <class T>
 inline auto AsTensor(size_t rank, const T& arg, size_t n);
 
 /**
-Zero-pad columns to a matrix until is that shape ``[m, 3]``.
-
-\param arg A "nodevec" (``arg.shape(1) <= 3``).
-\return Corresponding "nodevec" in 3-d (``ret.shape(1) == 3``)
-*/
+ *  Zero-pad columns to a matrix until is that shape ``[m, 3]``.
+ *
+ *  \param arg A "nodevec" (``arg.shape(1) <= 3``).
+ *  \return Corresponding "nodevec" in 3-d (``ret.shape(1) == 3``)
+ */
 template <class T>
 inline T as3d(const T& arg);
 
 } // namespace GooseFEM
 
 #include "Allocate.hpp"
 
 #endif