diff --git a/docs/source/features.rst b/docs/source/features.rst
index ba22b9e..609f41c 100644
--- a/docs/source/features.rst
+++ b/docs/source/features.rst
@@ -8,8 +8,8 @@
 .. _chapter-features:
 
 * **Code Quality** - Ceres Solver has been used in production at
-  Google for more than four years now. It is clean, extensively tested
-  and well documented code that is actively developed and supported.
+  Google since 2011. It is clean, extensively tested and well
+  documented code that is actively developed and supported.
 
 * **Modeling API** - It is rarely the case that one starts with the
   exact and complete formulation of the problem that one is trying to
@@ -47,10 +47,10 @@
     linear system. To this end Ceres ships with a variety of linear
     solvers - dense QR and dense Cholesky factorization (using
     `Eigen`_, `LAPACK`_ or `CUDA`_) for dense problems, sparse
-    Cholesky factorization (`SuiteSparse`_, `Apple's Accelerate`_, `Eigen`_)
-    for large sparse problems, custom Schur complement based dense,
-    sparse, and iterative linear solvers for `bundle adjustment`_
-    problems.
+    Cholesky factorization (`SuiteSparse`_, `Apple's Accelerate`_,
+    `Eigen`_) for large sparse problems, custom Schur complement based
+    dense, sparse, and iterative linear solvers for `bundle
+    adjustment`_ problems.
 
   - **Line Search Solvers** - When the problem size is so large that
     storing and factoring the Jacobian is not feasible or a low
@@ -59,20 +59,21 @@
     of Non-linear Conjugate Gradients, BFGS and LBFGS.
 
 * **Speed** - Ceres Solver has been extensively optimized, with C++
-  templating, hand written linear algebra routines and modern C++ threads
-  based multithreading of the Jacobian evaluation and the linear solvers.
+  templating, hand written linear algebra routines and modern C++
+  threads based multithreading of the Jacobian evaluation and the
+  linear solvers.
 
 * **GPU Acceleration** If your system supports `CUDA`_ then Ceres
   Solver can use the Nvidia GPU on your system to speed up the solver.
 
-* **Solution Quality** Ceres is the `best performing`_ solver on the NIST
-  problem set used by Mondragon and Borchers for benchmarking
+* **Solution Quality** Ceres is the `best performing`_ solver on the
+  NIST problem set used by Mondragon and Borchers for benchmarking
   non-linear least squares solvers.
 
 * **Covariance estimation** - Evaluate the sensitivity/uncertainty of
   the solution by evaluating all or part of the covariance
-  matrix. Ceres is one of the few solvers that allows you to do
-  this analysis at scale.
+  matrix. Ceres is one of the few solvers that allows you to do this
+  analysis at scale.
 
 * **Community** Since its release as an open source software, Ceres
   has developed an active developer community that contributes new
diff --git a/docs/source/version_history.rst b/docs/source/version_history.rst
index 6b11d93..2eaa26e 100644
--- a/docs/source/version_history.rst
+++ b/docs/source/version_history.rst
@@ -50,6 +50,10 @@
 
 Bug Fixes & Minor Changes
 -------------------------
+#. Fix handling of M_PI for MSVC (Sergiu Deitsch)
+#. Add a default value for Solver::Summary::linear_solver_ordering_type (Sameer Agarwal)
+#. Make sure that the code compiles well with CUDA 11 (Dmitriy
+   Korchemkin)
 #. Rework MSVC warning suppression (Sergiu Deitsch)
 #. Add an example for EvaluationCallback (Sameer Agarwal)
 #. Add an example for IterationCallback (Sameer Agarwal)