The proper spelling of the word is 'Euclidean', not 'Euclidian'.
* that make up geometric objects. As such, they have a small number of
* additional operations over general tensors of rank 1 for which we use the
* <tt>Tensor<1,dim></tt> class. In particular, there is a distance() function
- * to compute the Euclidian distance between two points in space.
+ * to compute the Euclidean distance between two points in space.
*
* The <tt>Point</tt> class is really only used where the coordinates of an
* object can be thought to possess the dimension of a length. For all other
Number square () const;
/**
- * Returns the Euclidian distance of <tt>this</tt> point to the point
+ * Returns the Euclidean distance of <tt>this</tt> point to the point
* <tt>p</tt>, i.e. the <tt>l_2</tt> norm of the difference between the
* vectors representing the two points.
*/
* points that make up geometric objects. As such, they have a small number of
* additional operations over general tensors of rank 1 for which we use the
* <tt>Tensor<1,dim,Number></tt> class. In particular, there is a distance()
- * function to compute the Euclidian distance between two points in space.
+ * function to compute the Euclidean distance between two points in space.
*
* However, the <tt>Point</tt> class is really only used where the coordinates
* of an object can be thought to possess the dimension of a length. For all
/**
* This function is used to obtain an approximation of the gradient. Pass it
* the DoF handler object that describes the finite element field, a nodal
- * value vector, and receive the cell-wise Euclidian norm of the
+ * value vector, and receive the cell-wise Euclidean norm of the
* approximated gradient.
*
* The last parameter denotes the solution component, for which the gradient
/**
* Return the norm of the derivative object. Here, for the gradient, we
- * choose the Euclidian norm of the gradient vector.
+ * choose the Euclidean norm of the gradient vector.
*/
static double derivative_norm (const Derivative &d);