*port the Cholesky module to the new solve() API
*improve documentation
diff --git a/doc/snippets/LLT_solve.cpp b/doc/snippets/LLT_solve.cpp
index 76ab09e..7095d2c 100644
--- a/doc/snippets/LLT_solve.cpp
+++ b/doc/snippets/LLT_solve.cpp
@@ -3,6 +3,6 @@
DataMatrix samples = DataMatrix::Random(12,2);
VectorXf elevations = 2*samples.col(0) + 3*samples.col(1) + VectorXf::Random(12)*0.1;
// and let's solve samples * [x y]^T = elevations in least square sense:
-Matrix<float,2,1> xy;
-(samples.adjoint() * samples).llt().solve((samples.adjoint()*elevations), &xy);
+Matrix<float,2,1> xy
+ = (samples.adjoint() * samples).llt().solve((samples.adjoint()*elevations));
cout << xy << endl;