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simulation method वाक्य

"simulation method" हिंदी मेंsimulation method in a sentence
उदाहरण वाक्यमोबाइल
  • "In silico " modelling and simulation methods allow drug metabolism to be predicted in virtual patient populations prior to performing clinical studies in human subjects.
  • In general, simulation methods are preferred to other valuation techniques only when there are several state variables ( i . e . several sources of uncertainty ).
  • Computer simulation methods to calculate the motion of ions in a medium have been developed since the 1960s, and are now the dominant way of treating stopping power theoretically.
  • Due to this, it is possible that a combination of Anton's and Folding @ home's simulation methods would provide a more thorough sampling of this space.
  • From the beginning of the 21st century, computer-based atomic simulation methods have been employed to study the behaviour of single asperities, even those composed by few atoms.
  • It is especially important in polymer crystals to be cognizant of the limitations imposed by either the assumptions on which a method is based or the robustness of the simulation method.
  • Other simulation methods ( such as replica exchange ) are supported through a plug-in-based infrastructure, which also allows users to develop their own simulation algorithms and models.
  • GFDL is engaged in comprehensive long lead-time research to expand the scientific understanding of the physical processes that govern the behavior of the phenomenology can be studied by computer simulation methods.
  • With the evolution of numerical methods suitable for impact analysis, a Chapter 6 was added to the Aerodrome Design Manual part 6, dedicated to " numerical simulation methods for evaluating frangibility ".
  • Among these are the charge simulation method, the superposition method, the desingularized method, the indirect boundary element method, and the virtual boundary element method, just to name a few.
  • He has developed nonequilibrium simulation methods including the SLLOD algorithm for the study of shear flow, the Evans'method for heat flow, the color conductivity method for the determination of self diffusion.
  • The three-phase approach is used by a number of commercial simulation software packages, but from the user's point of view, the specifics of the underlying simulation method are generally hidden.
  • The Zhuye Lake record is a typical record in monsoon marginal zones, which matches well with the simulation results, and the simulation method further explains the mechanism of the millennial-scale lake evolution.
  • Experimental measurements can be combined with computer simulation methods, such as Reverse Monte Carlo ( RMC ) or molecular dynamics ( MD ) simulations, to obtain more complete and detailed description of the atomic structure.
  • As in every simulation method, also in PIC, the time step and the grid size must be well chosen, so that the time and length scale phenomena of interest are properly resolved in the problem.
  • Extensive research using N-body simulation methods has calibrated functional forms that predict the proper number density of dark matter halos above mass M as a function and redshift, n ( > M, z ).
  • For example, they are the basis for a general stochastic simulation method known as Markov Chain Monte Carlo, which is used for simulating random objects with specific probability distributions, and has found application in Bayesian statistics.
  • The use of stochastic geometry can then allow for the derivation of closed-form or semi-closed-form expressions for these quantities without resorting to simulation methods or ( possibly intractable or inaccurate ) deterministic models.
  • Furthermore, Markov processes are the basis for a general stochastic simulation methods known as Gibbs sampling and Markov Chain Monte Carlo methods, are used for simulating random objects with specific probability distributions, and has found extensive application in Bayesian statistics.
  • The demands, for example, of simulation methods in modern computational finance are focusing increasing attention on methods based on quantile functions, as they work well with copula or quasi-Monte-Carlo methods and Monte Carlo methods in finance.
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