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91. The strain amplitude aside the pin-hole was fit by the second order Response Surface. The cumulative distribution function of strain amplitude was achieved with Monte Carlo method.

92. Monte Carlo method is used to sample geophysical model according to Bayesian inference.

93. By Monte Carlo simulations, the effect of the dispersion of the quasi Gaussian size distribution on dynamic behavior of the system is investigated in the same inelasticity case.

94. The proposed statistical SS2M model has an average error of 4.16% with respect to SPICE Monte Carlo simulations, with an average error of standard deviation of only 3.06%.

95. Nucleation and growth behavior of two dimensional islands in early stage of surfactant-mediated epitaxial growth have been studied by Kinetic Monte Carlo ( KMC ) simulation.

96. The results are: it is very common that there are trends in Monte Carlo random walk we can get excessive return with moving average method.

97. Now , however, programmers are making impressive gains with a as the Monte Carlo method.

98. The series are calculated and analyzed by correlation analysis, stochastic simulation, Monte Carlo, and Markov chain, Monte Carlo, so a group model of risk function is established.

99. It is seen that hierarchical Bayesian estimation is more efficient than maximum likelihood estimation through Monte Carlo simulation and an example.

100. She exclaimed surprisingly. " I just got back from Monte Carlo. "

101. Based on the theory and method of Monte Carlo simulation, random trajectory is computed by solving the ballistic equations with random initial parameter inputs.

102. After random variables have been determined on the based of random sensitivity parameter analysis, the fracture probability of welded structure can be calculation by using Monte Carlo method.

103. The performance of DOA estimator is studied via Monte Carlo simulations.

104. Based on the probability model derived from the solar cone, the energy flux distribution the propagation of solar rays on the focal plane was directly simulated by the Monte Carlo method.

105. Then we will introduce some common-used filtering techniques. Particle filter which is based on Bayesian estimation and Monte Carlo method will be emphasized.

106. According to Monte Carlo sampling simulation method of MTTF, MATLAB is to be used in sampling simulation, which greatly increases the computing efficiency. It is very important for engineering ap...

107. Direct simulation Monte Carlo method has been successfully applied into simulation of rare gas.

108. Using Monte Carlo Simulation (MCS), project schedule risk analysis is implemented at both the macroscopic level of project and the microscopic level of activity.

109. It is the first time that both distribution character and statistical parameter of the time-delay are obtained via Monte Carlo simulation.

110. Monte Carlo ray tracing is the fundamental algorithm in the global illumination area. Its accuracy and flexibility have been recognized by the computer graphics community.

111. Finally, we also get multi - loop hysteresis by Monte Carlo method which matches the expectation of landau theory.

112. The efficiency calibrations for PIXE analysis system were made by means of the Monte Carlo technique.

113. To avoid complex computation in Monte Carlo simulation for electron scattering in solid, a new matrix equation to describe the process is presented.

114. The Monte Carlo method is a calculated, but with the general numerical method a great difference.

115. In Monte Carlo simulation, the capability of the Taylor -Series method matches Gauss-Newton, for some scenarios,(http://sentencedict.com/monte carlo.html) the convergence time and performance of the mixed method even overmatch .

116. Sedimentary facies modeling use the Monte Carlo stochastic simulation method based on geostatistics.

117. Since Monte Carlo code cannot be applied to calculate the isotopic composition of burned fuel, a new algorithm combined with the depletion code is proposed to calculate burnup.

118. The percolation transition of this system at percolation threshold P _ c was substantiated by Monte Carlo simulation.

119. We will show you how to use sensitivity analysis, break-even analysis, and Monte Carlo simulation to identify crucial assumptions and to explore what can go wrong.

120. Given the observed hydrological data, the model can estimate the posterior probability distribution of each location of change-point by using the Monte Carlo Markov Chain (MCMC) sampling method.