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simulation scheme
A two-step simulation scheme is introduced to hasten the process of reaching transient steady state.
      
The Kusuoka approximation is a new simulation scheme for diffusion processes which are solutions of SDE with smooth coefficients.
      
We propose a two-step simulation scheme for the solution of a singular stochastic differential equation with exploding drift.
      
A simulation scheme is proposed which converges uniformly in mean square for a special, but important, case.
      
A general continuum model describing the transport and deformation processes of these actuators is briefly presented, along with a detailed description of the simulation scheme used to predict deformation, current, and mass transport.
      
A simulation scheme is presented by which the energy transfer is zero to the cluster when the gas and the cluster temperatures are equal.
      
While the Poisson approximation works well for exponential service times, the simulation scheme enables us to use the dynamic model without actually specifying the service time distribution.
      
We attack the difficulty by presenting a simulation scheme for the combustion process in voxelized space where the numerical solution of the classical fluid equations is implemented.
      
A large and general class of dynamic inputs to the system, including trains of δ-pulses, can be incorporated into the exact simulation scheme.
      
A simple simulation scheme for the constant function f(p)≡1/2 was described by von Neumann (1951); this scheme can be easily implemented using a finite automaton.
      
A simulation scheme is also proposed to generate random samples from the Bessel distribution.
      
Using a novel simulation scheme based on hashing we obtain a time-processor optimal simulation with delayO(log log(n) log*(n)).
      
A numerical simulation scheme for the albedo of city street canyons
      
The simulation scheme is initially developed for a single receptor, and is then extended to model pairs of correlated time series at two receptors.
      
In particular, a global Monte Carlo simulation scheme (semiclassical as well as quantum) is employed, which allows us to directly access details of the three-dimensional carrier dynamics, without resorting to phenomenological parameters.
      
The simulation scheme is based on the non-equilibrium Green's function method self-consistently being obtained via the resolution of 3D Poisson's equation.
      
The support of this measure is an unbounded and continuous state space and therefore a truncation was necessary to apply the CFTP perfect simulation scheme.
      
A randomized annealing-simulation scheme for learning by a multilayer neural network is examined.
      
The Distributed Time-Triggered Simulation Scheme: Core Principles and Supporting Execution Engine
      
In our implementation, we propose a simple architecture for such a simulator and a simulation scheme to synchronise the water resource updating (on a temporal basis) and the plant growth cycles (determined by the sum of daily temperatures).
      
 

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