Convert documentation from LaTeX to Sphinx.

A live version of the doc can be found at

http://homes.cs.washington.edu/~sagarwal/ceres-solver/

As it stands, the documentation has better hyperlinking
and coverage than the latex documentation now.

Change-Id: I7ede3aa83b9b9ef25104caf331e5727b4f5beae5
diff --git a/docs/source/bibliography.rst b/docs/source/bibliography.rst
new file mode 100644
index 0000000..a1a9883
--- /dev/null
+++ b/docs/source/bibliography.rst
@@ -0,0 +1,103 @@
+.. _sec-bibliography:
+
+============
+Bibliography
+============
+
+.. [Agarwal] S. Agarwal, N. Snavely, S. M. Seitz and R. Szeliski,
+   **Bundle Adjustment in the Large**, *Proceedings of the European
+   Conference on Computer Vision*, pp. 29--42, 2010.
+
+.. [Bjorck] A. Bjorck, **Numerical Methods for Least Squares
+   Problems**, SIAM, 1996
+
+.. [Brown] D. C. Brown, **A solution to the general problem of
+   multiple station analytical stereo triangulation**,  Technical
+   Report 43, Patrick Airforce Base, Florida, 1958.
+
+.. [Byrd] R.H. Byrd, R.B. Schnabel, and G.A. Shultz, **Approximate
+   solution of the trust region problem by minimization over
+   two dimensional subspaces**, *Mathematical programming*,
+   40(1):247–263, 1988.
+
+.. [Chen] Y. Chen, T. A. Davis, W. W. Hager, and
+   S. Rajamanickam, **Algorithm 887: CHOLMOD, Supernodal Sparse
+   Cholesky Factorization and Update/Downdate**, *TOMS*, 35(3), 2008.
+
+.. [Conn] A.R. Conn, N.I.M. Gould, and P.L. Toint, **Trust region
+   methods**, *Society for Industrial Mathematics*, 2000.
+
+.. [GolubPereyra] G.H. Golub and V. Pereyra, **The differentiation of
+   pseudo-inverses and nonlinear least squares problems whose
+   variables separate**, *SIAM Journal on numerical analysis*,
+   10(2):413–432, 1973.
+
+.. [HartleyZisserman] R.I. Hartley & A. Zisserman, **Multiview
+   Geometry in Computer Vision**, Cambridge University Press, 2004.
+
+.. [KushalAgarwal] A. Kushal and S. Agarwal, **Visibility based
+   preconditioning for bundle adjustment**, *In Proceedings of the
+   IEEE Conference on Computer Vision and Pattern Recognition*, 2012.
+
+.. [Levenberg] K. Levenberg, **A method for the solution of certain
+   nonlinear problems in least squares**, *Quart. Appl.  Math*,
+   2(2):164–168, 1944.
+
+.. [LiSaad] Na Li and Y. Saad, **MIQR: A multilevel incomplete qr
+   preconditioner for large sparse least squares problems**, *SIAM
+   Journal on Matrix Analysis and Applications*, 28(2):524–550, 2007.
+
+.. [Madsen] K. Madsen, H.B. Nielsen, and O. Tingleff, **Methods for
+   nonlinear least squares problems**, 2004.
+
+.. [Mandel] J. Mandel, **On block diagonal and Schur complement
+   preconditioning**, *Numer. Math.*, 58(1):79–93, 1990.
+
+.. [Marquardt] D.W. Marquardt, **An algorithm for least squares
+   estimation of nonlinear parameters**, *J. SIAM*, 11(2):431–441,
+   1963.
+
+.. [Mathew] T.P.A. Mathew, **Domain decomposition methods for the
+   numerical solution of partial differential equations**, Springer
+   Verlag, 2008.
+
+.. [NashSofer] S.G. Nash and A. Sofer, **Assessing a search direction
+   within a truncated newton method**, *Operations Research Letters*,
+   9(4):219–221, 1990.
+
+.. [NocedalWright] J. Nocedal & S. Wright, **Numerical Optimization**,
+   Springer, 2004.
+
+.. [RuheWedin] A. Ruhe and P.Å. Wedin, **Algorithms for separable
+   nonlinear least squares problems**, Siam Review, 22(3):318–337,
+   1980.
+
+.. [Saad] Y. Saad, **Iterative methods for sparse linear
+   systems**, SIAM, 2003.
+
+.. [Stigler] S. M. Stigler, **Gauss and the invention of least
+   squares**, *The Annals of Statistics*, 9(3):465-474, 1981.
+
+.. [TenenbaumDirector] J. Tenenbaum & B. Director, **How Gauss
+   Determined the Orbit of Ceres**.
+
+.. [TrefethenBau] L.N. Trefethen and D. Bau, **Numerical Linear
+   Algebra**, SIAM, 1997.
+
+.. [Triggs] B. Triggs, P. F. Mclauchlan, R. I. Hartley &
+   A. W. Fitzgibbon, **Bundle Adjustment: A Modern Synthesis**,
+   Proceedings of the International Workshop on Vision Algorithms:
+   Theory and Practice, pp. 298-372, 1999.
+
+.. [Wiberg] T. Wiberg, **Computation of principal components when data
+   are missing**, In Proc. *Second Symp. Computational Statistics*,
+   pages 229–236, 1976.
+
+.. [WrightHolt] S. J. Wright and J. N. Holt, **An Inexact
+   Levenberg Marquardt Method for Large Sparse Nonlinear Least
+   Squares**, *Journal of the Australian Mathematical Society Series
+   B*, 26(4):387–403, 1985.
+
+
+
+