*
* In some cases, for example in time-dependent problems, one would
* like to compute the error estimates for several solution vectors
- * on the same grid at once, with the same coefficients, etc,
- * e.g. for the solutions on several successive time steps. One could
- * then call the functions of this class several times for each
- * solution. However, it is observed that the largest factor in the
- * computation of the error estimates (in terms of computing time) is
- * initialization of FEFaceValues and FESubFaceValues
+ * on the same grid at once, with the same coefficients, boundary
+ * condition object, etc, e.g. for the solutions on several
+ * successive time steps. One could then call the functions of this
+ * class several times for each solution. However, the largest factor
+ * in the computation of the error estimates (in terms of computing
+ * time) is initialization of FEFaceValues and FESubFaceValues
* objects, and iterating through all faces and subfaces. If the
* solution vectors live on the same grid, this effort can be reduced
* significantly by treating all solution vectors at the same time,
- * initializing the FEFaceValues objects only once per cell and
- * for all solution vectors at once, and also only looping through
- * the triangulation only once. For this reason, besides the
- * @p estimate function in this class that takes a single input
- * vector and returns a single output vector, there is also a
- * function that accepts several in- and output vectors at the same
- * time.
+ * initializing the FEFaceValues objects only once per cell and for
+ * all solution vectors at once, and also only looping through the
+ * triangulation only once. For this reason, besides the @p estimate
+ * function in this class that takes a single input vector and
+ * returns a single output vector, there is also a function that
+ * accepts several in- and output vectors at the same time.
*
* @ingroup numerics
* @author Wolfgang Bangerth, 1998, 1999, 2000, 2004, 2006; parallelization by Thomas Richter, 2000