Files
ceres-solver/docs/source/bibliography.rst
T
Sameer Agarwal 3d87b72c89 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
2013-02-04 17:09:39 -08:00

104 lines
3.8 KiB
ReStructuredText
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
.. _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):247263, 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):413432, 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):164168, 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):524550, 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):7993, 1990.
.. [Marquardt] D.W. Marquardt, **An algorithm for least squares
estimation of nonlinear parameters**, *J. SIAM*, 11(2):431441,
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):219221, 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):318337,
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 229236, 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):387403, 1985.