*
* In this case we can solve the modified system
* @f[
- * (C^T \cdot A \cdot C + Id_c) \tilde x = C^T (b - A\,k)
+ * (C^T A C + Id_c) \tilde x = C^T (b - A\,k)
* @f]
* instead [1]. Here, $A$ is a given (unconstrained) system matrix $A$ and
* $b$ the corresponding right hand side of a system of linear equations
* ConstraintMatrix::distribute() operation applied on a vector $x$ is the
* operation
* @f[
- $x$ \leftarrow C\,x+k.
+ x \leftarrow C\,x+k.
* @f]
* And finally, $Id_c$ denotes the identity on the subspace of constrained
* degrees of freedom.
*
* The corresponding solution of $A\,x=b$ that obeys boundary conditions is
- * then recovered by distributing constraints to $\tilde x$: $x=C\tilde
- * x+k$.
+ * then recovered by distributing constraints: $x=C\tilde x+k$.
*
* The whole system can be set up and solved with the following snippet of
* code:
* constrained_right_hand_side() to build up the following modified system
* of linear equations:
* @f[
- * (C^T \cdot A \cdot C + Id_c) x = C^T (b - A\,k)
+ * (C^T A C + Id_c) x = C^T (b - A\,k)
* @f]
* with a given (unconstrained) system matrix $A$, right hand side $b$, and
* linear constraints $C$ with inhomogeneities $k$.
* constrained_right_hand_side() to build up the following modified system
* of linear equations:
* @f[
- * (C^T \cdot A \cdot C + Id_c) x = C^T (b - A\,k)
+ * (C^T A C + Id_c) x = C^T (b - A\,k)
* @f]
* with a given (unconstrained) system matrix $A$, right hand side $b$, and
* linear constraints $C$ with inhomogeneities $k$.