P. J. Davis and P. Rabinowitz, Methods of Numerical Integration: Second Edition, 2007.

R. Douc, A. Guillin, J. Marin, and C. P. Robert, Minimum variance importance sampling via Population Monte Carlo, 2005.
DOI : 10.1051/ps:2007028
URL : https://hal.archives-ouvertes.fr/inria-00070316

D. S. Ebert, Volumetric modeling with implicit functions, ACM SIGGRAPH 97 Visual Proceedings: The art and interdisciplinary programs of SIGGRAPH '97 on , SIGGRAPH '97, pp.147-154, 1997.
DOI : 10.1145/259081.259233
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.9218

S. Fan, S. Chenney, B. Hu, K. Tsui, and Y. Lai, Optimizing Control Variate Estimators for Rendering, Proceedings of Eurographics 2006, Eurographics Association, 2006.
DOI : 10.1111/j.1467-8659.2004.00790.x

A. Genz, Numerical integration ? recent developments, Reidel, 1987, ch. A package for testing multiple integration subroutines, pp.337-340

P. Gonnet, A review of error estimation in adaptive quadrature, ACM Computing Surveys, vol.44, issue.4, 2011.
DOI : 10.1145/2333112.2333117

. Fig, A.1. (w, c) values used to define the ten functions of the f 1 family

T. Hahn, Cuba???a library for multidimensional numerical integration, Computer Physics Communications, vol.168, issue.2, pp.78-95, 2005.
DOI : 10.1016/j.cpc.2005.01.010

C. Kelemen, L. Szirmay-kalos, G. Antal, and F. Csonka, A Simple and Robust Mutation Strategy for the Metropolis Light Transport Algorithm, Eurographics '02, pp.531-540, 2002.
DOI : 10.1111/1467-8659.00703

G. P. Lepage, A new algorithm for adaptive multidimensional integration, Journal of Computational Physics, vol.27, issue.2, pp.192-203, 1978.
DOI : 10.1016/0021-9991(78)90004-9

V. Pegoraro, I. Wald, and S. G. Parker, Sequential monte carlo adaptation in lowanisotropy participating media, EGSR '08, 2008.

M. Pharr and G. Humphreys, Physically Based Rendering: From Theory to Implementation, 2004.

L. Szirmay-kalos, B. Tóth, and M. Magdics, Free Path Sampling in High Resolution Inhomogeneous Participating Media, Computer Graphics Forum, vol.13, issue.6, pp.30-85, 2011.
DOI : 10.1111/j.1467-8659.2010.01831.x

Y. Yue, K. Iwasaki, B. Chen, Y. Dobashi, and T. Nishita, Unbiased, adaptive stochastic sampling for rendering inhomogeneous participating media, SIGGRAPH ASIA '10, 2010.

A. Appendix, (w, c) values used for the Genz functions

A. Tables, 1 to A.6 give the values of the 6D vectors w and c used in our tests to define each of the ten particular functions of each family of functions f 1 to f 6

. A. Fig, (w, c) values used to define the ten functions of the f 2 family

. A. Fig, (w, c) values used to define the ten functions of the f 3 family

. A. Fig, c) values used to define the ten functions of the f 4 family, p.15374

. A. Fig, (w, c) values used to define the ten functions of the f 5 family

. Fig, A.6. (w, c) values used to define the ten functions of the f 6 family