diff --git a/README.md b/README.md
index 460f51bf3..623b1ff32 100644
--- a/README.md
+++ b/README.md
@@ -1,47 +1,49 @@
-README - Georgia Tech Smoothing and Mapping library
-===================================================
-
-What is GTSAM?
---------------
-
-GTSAM is a library of C++ classes that implement smoothing and
-mapping (SAM) in robotics and vision, using factor graphs and Bayes
-networks as the underlying computing paradigm rather than sparse
-matrices.
-
-On top of the C++ library, GTSAM includes a MATLAB interface (enable
-GTSAM_INSTALL_MATLAB_TOOLBOX in CMake to build it). A Python interface
-is under development.
-
-Quickstart
-----------
-
-In the root library folder execute:
-
-```
-#!bash
-$ mkdir build
-$ cd build
-$ cmake ..
-$ make check (optional, runs unit tests)
-$ make install
-```
-
-Prerequisites:
-
-- [Boost](http://www.boost.org/users/download/) >= 1.43 (Ubuntu: `sudo apt-get install libboost-all-dev`)
-- [CMake](http://www.cmake.org/cmake/resources/software.html) >= 2.6 (Ubuntu: `sudo apt-get install cmake`)
-
-Optional prerequisites - used automatically if findable by CMake:
-
-- [Intel Threaded Building Blocks (TBB)](http://www.threadingbuildingblocks.org/) (Ubuntu: `sudo apt-get install libtbb-dev`)
-- [Intel Math Kernel Library (MKL)](http://software.intel.com/en-us/intel-mkl)
-
-Additional Information
-----------------------
-
-See the [`INSTALL`](https://bitbucket.org/gtborg/gtsam/src/develop/INSTALL) file for more detailed installation instructions.
-
-GTSAM is open source under the BSD license, see the [`LICENSE`](https://bitbucket.org/gtborg/gtsam/src/develop/LICENSE) and [`LICENSE.BSD`](https://bitbucket.org/gtborg/gtsam/src/develop/LICENSE.BSD) files.
-
-Please see the [`examples/`](https://bitbucket.org/gtborg/gtsam/src/develop/examples) directory and the [`USAGE`](https://bitbucket.org/gtborg/gtsam/src/develop/USAGE) file for examples on how to use GTSAM.
+README - Georgia Tech Smoothing and Mapping library
+===================================================
+
+What is GTSAM?
+--------------
+
+GTSAM is a library of C++ classes that implement smoothing and
+mapping (SAM) in robotics and vision, using factor graphs and Bayes
+networks as the underlying computing paradigm rather than sparse
+matrices.
+
+On top of the C++ library, GTSAM includes a MATLAB interface (enable
+GTSAM_INSTALL_MATLAB_TOOLBOX in CMake to build it). A Python interface
+is under development.
+
+Quickstart
+----------
+
+In the root library folder execute:
+
+```
+#!bash
+$ mkdir build
+$ cd build
+$ cmake ..
+$ make check (optional, runs unit tests)
+$ make install
+```
+
+Prerequisites:
+
+- [Boost](http://www.boost.org/users/download/) >= 1.43 (Ubuntu: `sudo apt-get install libboost-all-dev`)
+- [CMake](http://www.cmake.org/cmake/resources/software.html) >= 2.6 (Ubuntu: `sudo apt-get install cmake`)
+
+Optional prerequisites - used automatically if findable by CMake:
+
+- [Intel Threaded Building Blocks (TBB)](http://www.threadingbuildingblocks.org/) (Ubuntu: `sudo apt-get install libtbb-dev`)
+- [Intel Math Kernel Library (MKL)](http://software.intel.com/en-us/intel-mkl)
+
+Additional Information
+----------------------
+
+Read about important [`GTSAM-Concepts`] here.
+
+See the [`INSTALL`] file for more detailed installation instructions.
+
+GTSAM is open source under the BSD license, see the [`LICENSE`](https://bitbucket.org/gtborg/gtsam/src/develop/LICENSE) and [`LICENSE.BSD`](https://bitbucket.org/gtborg/gtsam/src/develop/LICENSE.BSD) files.
+
+Please see the [`examples/`](examples) directory and the [`USAGE`] file for examples on how to use GTSAM.
\ No newline at end of file