Latin hypercube samplingCholesky decompositionGas supply adequacyThermal-hydraulic simulationRandom demandThe aim of this paper is to develop a common methodology to assess the supply adequacy of the gas pipeline system under random demand. To reduce the computational burden, Latin hypercube sampling with...
van Genuchten-Mualem parameters were sampled using the Latin hypercube sampling method to provide a full coverage of the range of each parameter from their distributions. By applying the coupled approach, vertical electrical sounding data were coupled to hydrological models inferred from van Genuchten-...
PRCC was calculated for 1000 values of each parameter generated using the Latin Hypercube Sampling (LHS) method, as described in [56]. LHS is a type of Monte Carlo sampling that allows for the simultaneous adjustment of all input parameters. This sampling method is effective when the outcome ...
At the beginning of the epidemic, a substantial amount of the reported cases are imported cases. The data set does not distinguish between imported and local transmission cases, but the method used to evaluate\(R_t\)takes into account the rising of infections coming from a local transmission a...
where we varied the values of the model parameters using the Latin Hypercube sampling method30. Specifically, the regional parameters\(\alpha _i,\psi _i,\kappa _i^Q,\kappa _i^H,\eta _i^Q,\eta _i^H\)together with the estimated initial conditions at May 3, 2020\(I_{f,i}\)were ...
conditions by using the Latin Hypercube Sampling(LHS).The Spearman partial(rank) correlation coefficient and the standard(rank) regression coefficient are adopted to analyze the parameter sensitivity.The results indicate that LHS is an effective method for the stochastic analysis of groundwater flow ...
In this paper the Latin Hypercube Sampling method (LHS) is used in order to evaluate the values of input parameters of real rock environment. The resulting values of the models were compared with the experimental in-site measurements. Twenty input values were generated for each input parameter. ...
8, it would be then applied into the optimal design system along with the Latin Hypercube Sampling (LHS) methodology, the Computational Fluid Dynamic (CFD) analysis, and the Multi-Objective Particle Swarm Optimization (MOPSO) method. Fig. 9 shows the flow chart of the optimal design system, ...
拉丁超立方抽样初始化:CHAM算法使用拉丁超立方抽样(Latin Hypercube Sampling)来初始化种群,从而提高初始种群的质量。 基于层次协作机制的位置更新策略:CHAM算法提出了一种基于层次协作机制的位置更新策略,该策略在算法的不同迭代阶段实现不同的更新方法,有效地避免了算法陷入局部最优。 消融研究:论文中的消融研究表明,混...
The China-TIMES-MCA model (Fig.1) implements coupling with Monte Carlo analysis (MCA) on the basis of the China-TIMES model to perform large-scale uncertainty analysis. We use the Latin hypercube sampling (LHS) method43,44to replace the random sampling method used in the classical Monte Carl...