Modeling of a nonlinearity by a sequence of Markov chains
- 13 Downloads
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Unable to display preview. Download preview PDF.
- 1.V. Kleiza, “On sufficient conditions for applicability of the Monte Carlo method for solving systems of nonlinear equations,” Litovsk. Matem. Sb.,12, No. 2, pp. 75–63 (1972).Google Scholar
- 2.V. Kleiza, “Solution of nonlinear difference equations by the Monte Carlo method,” in: Differential Equations and Their Applications [in Russian], No. 3, Izd. In-ta Fiziki i Matematiki Akad. Nauk Litovskoi SSR, Vilnius (1973), pp. 51–67.Google Scholar
- 3.V. Kleiza, “On estimation of the probability, error of the coarse Monte Carlo method,” in: Differential Equations and Their Applications [in Russian], No. 10, Izd. In-ta Fiziki i Matematiki Akad. Nauk Litovskoi SSR, Vilnius (1974).Google Scholar
- 4.V. Kleiza, Solution of Nonlinear Equations by the Monte Carlo Method [in Russian], Candidate's Dissertation, Leningrad (1973).Google Scholar
- 5.N. Metropolis et al., “Equations of state calculations by fast computing machines,” J. Chem. Phys.,21, pp. 1087–1092, (1953).Google Scholar
- 6.J. M. Hammersley and D. C. Handscomb, Monte Carlo Methods, London (1967).Google Scholar
- 7.S. Karlin, First Course in Stochastic Processes, Academic Press (1966).Google Scholar
- 8.J. G. Kemeny and J. L. Snell, Finite Markov Chains, Van Nostrand (1959).Google Scholar
© Plenum Publishing Corporation 1976