F. Antonelli, Backward-Forward Stochastic Differential Equations, The Annals of Applied Probability, vol.3, issue.3, pp.3-3777, 1993.
DOI : 10.1214/aoap/1177005363

V. Bally and G. Pagès, A quantization algorithm for solving discrete time multi-dimensional optimal stopping problems, Bernoulli, pp.9-15, 2003.

G. [. Bally, J. Pagès, and . Printems, A QUANTIZATION TREE METHOD FOR PRICING AND HEDGING MULTIDIMENSIONAL AMERICAN OPTIONS, Mathematical Finance, vol.26, issue.2, 2002.
DOI : 10.1287/moor.27.1.121.341

URL : https://hal.archives-ouvertes.fr/inria-00072123

B. Bouchard and N. Touzi, Discrete-time approximation and Monte-Carlo simulation of backward stochastic differential equations, Stochastic Processes and their Applications, vol.111, issue.2, pp.175-206, 2004.
DOI : 10.1016/j.spa.2004.01.001

URL : https://hal.archives-ouvertes.fr/hal-00103046

]. D. Che97 and . Chevance, Numerical methods for Backward Stochastic Differential Equations, Publ. Newton Inst, pp.232-234, 1997.

]. F. Del02 and . Delarue, On the existence and uniqueness of solutions to FBSDEs in a non-degenerate case, Stoch. Proc. and App, vol.99, pp.209-286, 2002.

]. F. Del03 and . Delarue, Estimates of the solutions of a system of quasilinear PDEs. A probabilistic scheme, pp.290-332, 2003.

]. F. Del04 and . Delarue, Auxiliary SDEs for homogenization of quasilinear PDEs with periodic coefficients, Annals of Probability, vol.32, pp.2305-2361, 2004.

J. Douglas, J. Ma, and P. Protter, Numerical methods for forward-backward stochastic differential equations, The Annals of Applied Probability, vol.6, issue.3, pp.940-968, 1996.
DOI : 10.1214/aoap/1034968235

H. [. Graf and . Lushgy, Foundations of quantization for random vectors. LNM-1730, 2000.

M. Kardar, G. Parisi, and Y. Zhang, Dynamic Scaling of Growing Interfaces, Physical Review Letters, vol.56, issue.9, pp.889-892, 1986.
DOI : 10.1103/PhysRevLett.56.889

V. [. Ladyzhenskaya and N. N. Solonnikov, Ural'ceva. Linear and quasilinear equations of parabolic type, Translations of Mathematical Monographs, vol.23, 1967.

]. R. Mak03 and . Makarov, Numerical solution of quasilinear parabolic equations and Backward Stochastic Differential Equations, Russian J. Numer. Anal. Math. Modelling, pp.18-5397, 2003.

J. Ma, P. Protter, and J. Yong, Solving forward-backward stochastic differential equations explicitly ? a four step scheme, Probability Theory and Related Fields, vol.36, issue.3, pp.339-359, 1994.
DOI : 10.1007/BF01192258

M. [. Milstein and . Tretyakov, Numerical algorithms for semilinear parabolic equations with small parameter based on approximation of stochastic equations, Mathematics of Computation, vol.69, issue.229, pp.69-229237, 1999.
DOI : 10.1090/S0025-5718-99-01134-5

J. Ma and J. Yong, Forward-Backward Stochastic Differential Equations and their applications. LNM-1702, 1999.
DOI : 10.1007/978-3-540-48831-6

S. [. Pardoux and . Peng, Adapted solution of a backward stochastic differential equation, Systems & Control Letters, vol.14, issue.1, pp.14-155, 1990.
DOI : 10.1016/0167-6911(90)90082-6

G. Pagès and J. Printems, Functional quantization for numerics: pricing Asian options, Lab. Prob. et Mod. Al, vol.900, 2004.

H. [. Pagès, J. Pham, and . Printems, Optimal quantization methods and applications to numerical problems in finance. To appear in Handbook on Numerical Methods in Finance, Birkhauser, 2003.

E. Pardoux and S. Tang, Forward-Backward Stochastic Differential Equations and quasilinear parabolic PDEs. Probab. Theory Related Fields, pp.114-2123, 1999.

]. A. Shi96 and . Shiryaev, Probability, Second Edition, Graduate Texts in Mathematics, vol.95, 1996.

]. N. Whi68 and . Whitham, Non linear waves, 1968.

W. A. Woyczy´nskiwoyczy´nski, Burgers-KPZ turbulence. LNM-1700, 1998.