This paper contains a collection of results on Latin hypercube sampling. The first result is a Berry-Esseen-type bound for the multivariate central limit theorem of the sample mean μ̂nbased on a Latin hypercube sample. The second establishes sufficient conditions on the convergence rate in ...
pLoh (Loh, W.L, 1996b) established a Berry-Esseen type bound for $W$, the random variable based on a latin hypercube sampling, to the standard normal distribution. He used an inductive approach of Steins method to give the rate of convergence $\\frac{C_d}{\\sqrt{n}}$ without the ...
CHEN Ming-hua,REN Zhe,ZHOU Benda.Solving 2-way graph partitioning problem using genetic algorithm based on Latin hypercube sampling[J].Control Theory & Applications,2009,26(8):927~930.[点击复制]拉丁超立方体抽样遗传算法求解图的二划分问题
This paper analyzed the impact of the uncertainty of hydrogeological parameters and source/sink on the simulation results under the ideal groundwater flow conditions by using the Latin Hypercube Sampling(LHS).The Spearman partial(rank) correlation coefficient and the standard(rank) regression coefficient...
this paper put forward a kind of strong applicability approximate modeling method, can be used for all kinds of motor, namely the isometric cross complementary sampling method, improve the Latin hypercube sampling, improves the approximate model of permanent magnet synchronous motor cogging torque accura...
Li et al.24 introduced a surrogate-assisted stochastic optimization inversion (SASOI) algorithm to identify the static and dynamic parameters based on Latin hypercube sampling (LHS). Shahzadi et al.25 constructed a surrogate model by com- bining polynomial chaos expansion and deep learning ...
We developed a physics-informed neural network based on a mixture of Cartesian grid sampling and Latin hypercube sampling to solve forward and backward modified diffusion equations. We optimized the parameters in the neural networks and the mixed data sa
Wang, D., Lin, J., Wang, Y.:‘Query-efficient adversarial attack based on Latin hypercube sampling’, ArXiv, 2022,abs/2207.02391. Google Scholar [18] J. Zhang, B. Li, J. Xu, et al. Towards efficient data free black-box adversarial attack Proc. 2022 IEEE/CVF Conference on Computer ...
2.3 Sampling the parameter space The atmosphere-only PPE explored a total of 2915 different parameter combinations and was built in several stages, as described in Sexton et al. (2020, submitted). The parameter choices for the first 2800 members were based on Latin hypercube sampling of the pri...
DOSS uses the fewer initial points strategy, while DOSS (SLHD) employs the Symmetric Latin Hypercube Design method for initial point sampling. In the data profiles, higher curves denote better performance, whereas in the performance profiles, the highest curve represents the best result. A detailed...