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150. T. J. Ypma. Historical development of the Newton-Raphson method. SIAM
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487
143. C. Suliman, F. Moldoveanou. Bulletin of the Transilvania University of
Brasov. Vol. 3 (52). Series I : Engineering Sciences (2010).
144. A. S. Sznitman. Topics in propagation of chaos, course given at the SaintFlour Probability Summer School, 1989. Lecture Notes in Math., 1464, Springer,
Berlin, pp. 164–251 (1991).
145. H. Tanaka. Probabilistic treatment of the Boltzmann equation of Maxwellian
molecules. Z. Wahrsch. Verw. Gebiete, vol. 46, no. 1, pp. 67–105 (1979).
146. V. D. Tran. Assimilation de donn´ ees : les propri´ et´ es asymptotiques du filtre
de Kalman d’ensemble. Universit´ e de Bretagne Sud, June 29 (2009).
147. J.-P. Vila, V. Rossi. Nonlinear filtering in discrete time : A particle convolution approach, Biostatistic group of Montpellier, Technical Report 04-03, (available at http ://vrossi.free.fr/recherche.html), (2004).
148. G. U. Yule. A mathematical theory of evolution, based on the theory of
Dr.J.C.Willis, Philosophical Transactions of the Royal Society of London, vol.
213, pp. 21–87 (1924).
149. D. T. Whiteside. The Mathematical Papers of Isaac Newton. Volumes I-VII,
Cambridge University Press, Cambridge (1967-1976).
150. T. J. Ypma. Historical development of the Newton-Raphson method. SIAM
Review, vol. 37, pp. 531–551 (1995).
151. S. Zeiser, U. Franz, O. Wittich, V. Liebscher. Simulation of genetic
networks modelled by piecewise deterministic Markov processes. IET Syst Biol.,
vol. 2, no. 3, pp. 113–135 (2008).
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