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使用matlab语言实现的时域有限差分算法-fdtd

于 2020-06-21 发布

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下载积分: 1 下载次数: 2

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代码说明：

说明：使用matlab语言实现的时域有限差分算法(finite differentiate time domain)

文件列表：

fdtd3D.asv, 8198 , 2007-09-27
fdtd3D.m, 7825 , 2007-10-13
HF_program.m, 153658 , 2007-09-22
psvec.txt, 33798 , 2006-09-22
toyFDTD1.m, 29167 , 2007-10-01
www.pudn.com.txt, 218 , 2007-06-04
fdtd-matlab, 0 , 2017-06-18
fdtd-matlab\2474_fdtd_1D_demo_v2.m, 5082 , 2006-12-14
fdtd-matlab\cyl_fdtd_data.mat, 476999 , 2007-09-24
fdtd-matlab\demo_3dFDTD.m, 1611 , 2007-10-11
fdtd-matlab\drv_fdtd.m, 807 , 2006-12-14
fdtd-matlab\FDTD1.m, 4018 , 2007-09-22
fdtd-matlab\FDTD1.m.bak, 4014 , 2006-12-14
fdtd-matlab\fdtd2D.m, 19979 , 2007-10-15
fdtd-matlab\fdtd2de.m, 4094 , 2006-12-14
fdtd-matlab\FDTD3D_Main.m, 8540 , 2006-12-14
fdtd-matlab\fdtd_1d_3.m, 1437 , 2006-12-14
fdtd-matlab\FDTD_1D_abc.m, 9222 , 2006-12-14
fdtd-matlab\FDTD_1D_Erand.m, 5326 , 2007-09-22
fdtd-matlab\FDTD_1D_Erand.m.bak, 5325 , 2007-09-22
fdtd-matlab\FDTD_1D_ill.m, 4262 , 2006-12-14
fdtd-matlab\fdtd_1D_TEM.m, 2591 , 2006-12-14
fdtd-matlab\fdtd_2d_demo_v1_1.m, 8964 , 2007-10-15
fdtd-matlab\fdtd_2d_TM_3.m, 2100 , 2006-12-13
fdtd-matlab\gaussder_norm.m, 66 , 2007-09-24
fdtd-matlab\hs_err_pid3948.log, 15979 , 2007-10-01
fdtd-matlab\html, 0 , 2017-06-18
fdtd-matlab\html\fdtd2D.aux, 9 , 2007-10-12
fdtd-matlab\html\fdtd2D.dvi, 24388 , 2007-10-12
fdtd-matlab\html\fdtd2D.log, 13950 , 2007-10-12
fdtd-matlab\html\fdtd2D.pdf, 239933 , 2007-10-12
fdtd-matlab\html\fdtd2D.tex, 19701 , 2007-10-12
fdtd-matlab\html\fdtd2D.tex.bak, 19712 , 2007-10-12
fdtd-matlab\html\fdtd2D_01.eps, 927337 , 2007-10-12
fdtd-matlab\html\fdtd_2d_demo_v1_1.aux, 9 , 2007-10-13
fdtd-matlab\html\fdtd_2d_demo_v1_1.dvi, 11724 , 2007-10-13
fdtd-matlab\html\fdtd_2d_demo_v1_1.log, 9891 , 2007-10-13
fdtd-matlab\html\fdtd_2d_demo_v1_1.pdf, 30217 , 2007-10-13
fdtd-matlab\html\fdtd_2d_demo_v1_1.tex, 9303 , 2007-10-13
fdtd-matlab\html\fdtd_2d_demo_v1_1.tex.bak, 9360 , 2007-10-12
fdtd-matlab\Lossy_FDTD.m, 2286 , 2006-12-14
fdtd-matlab\RFGaussDerSimABC.eps, 13971 , 2007-09-24
fdtd-matlab\te_horn.m, 13148 , 2007-09-24

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说明：差分进化算法(Differential Evolution Algorithm，DE)是一种高效的全局优化算法。它也是基于群体的启发式搜索算法，群中的每个个体对应一个解向量。差分进化算法的进化流程则与遗传算法非常类似，都包括变异、杂交和选择操作，但这些操作的具体定义与遗传算法有所不同(Differential evolution algorithm (DE) is an efficient global optimization algorithm. It is also a heuristic search algorithm based on population. Each individual in the group corresponds to a solution vector. The evolution process of differential evolution algorithm is very similar to genetic algorithm, including mutation, hybridization and selection operations, but the specific definition of these operations is different from that of genetic algorithm)

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