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应用并行PEST算法优化地下水模型参数 总被引:5,自引:0,他引:5
基于列文伯格-马夸尔特(Levenberg-Marquardt)算法的PEST参数优化程序具有寻优速度快、健壮性好的优点,在地下水模型参数优化研究中有许多成功的应用实例。但是,对于大尺度、高精度和高复杂性的大规模地下水模拟,使用PEST进行参数优化需要大量的计算时间,优化效率较低。本文应用OpenMP并行编程方法对PEST算法进行了并行化,使之可以在共享存储并行计算机上进行参数优化的并行计算。并将此方法应用于甘肃北山区域地下水模型的参数优化中,并行实验表明,使用并行化的PEST可以将地下水模型参数优化效率提高3.7倍。
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A new metal-organic coordination complex [Zn(H2BPTC)(phen)2]n·3nH2O (BPTC = 3,3′,4,4′-benzophenone tetracarboxylate, phen = 1,10-phenanthroline) 1 has been obtained from hydrothermal reaction and characterized by elemental analysis, IR, TG and single-crystal X-ray diffraction. In compound 1, the zinc cation is hexa-coordinated with two carboxylate oxygen atoms from one H2BPTC ligand and four nitrogen atoms from two different phen ligands, showing a slightly distorted octahedral geometry. Crystal data: C41H30N4O12Zn, Mr = 836.06, monoclinic, P21/c, a = 14.2714(9), b = 16.9386(10), c = 15.0151(9) , β = 101.3420(10)o, V = 3558.8(4) 3, Dc = 1.560 g/cm3, μ(MoKα) = 0.766 mm-1, F(000) = 1720, Z = 4, R = 0.0439 and wR = 0.1157 for 4123 observed reflections with I > 2σ(I). 相似文献
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