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TriangularArrayPWE
This script will attempt to find the band gaps in a phononic crystal by
carrying out a Plane Wave Expansion of the various quantities
It is for an acoustic wave equation with pressure instead of the displacement as prescribed in App. Phys. Lett. 70 3218 There are 3 programs, one for short, one for elastic long and the other one is for acoustic long(This script will attempt to find the band gaps in a phononic crystal by carrying out a Plane Wave Expansion of the various quantities It is for an acoustic wave equation with pressure instead of the displacement as prescribed in App. Phys. Lett. 70 3218 There are 3 programs, one for short, one for elastic long and the other one is for acoustic long)
- 2009-10-27 14:16:37下载
- 积分：1
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Characterizing_the_Statistical_Properties_of_Mutua
MIMO-OFDM系统无线衰落信道容量分析，适合做无限通信的研究(Characterizing the Statistical Properties of Mutual Information in MIMO Channels)
- 2009-06-12 22:30:33下载
- 积分：1
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GA
说明： Genetic algorithm implementation
- 2014-01-03 13:07:27下载
- 积分：1
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ANIM2
APPLICATION SMART ANTENNA3
- 2010-06-05 17:54:34下载
- 积分：1
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Particle-swarm-optimization
粒子群算法是一种新的模仿鸟类群体行为的智能优化算法，描述了基本粒子群算法和改进粒子群算法的原理。(Particle swarm optimization (pso) algorithm is a kind of new imitate birds swarm behavior of intelligent optimization algorithm, describes the basic principle of particle swarm optimization (pso) algorithm and improved particle swarm algorithm
.)
- 2013-12-08 14:41:49下载
- 积分：1
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prepareMeet
09年大学生数学建模比赛D组题，该作品获得专科组国家二等奖(2009 Mathematical Modeling Group D title game, the work received the second prize specialist group of countries)
- 2010-06-30 14:58:31下载
- 积分：1
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FIR-digital-filter
介绍窗函数的一些概念，是一个很好的实验报告(Window function design method of FIR digital filter)
- 2013-05-17 20:32:13下载
- 积分：1
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POROSITY
主要用于烧结金属材料孔隙率的分析计算，采用金相照片为素材(POROSITY ANLYSIS OF SINTERED MATERIALS)
- 2014-08-05 22:27:47下载
- 积分：1
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非期望产出
说明： 用于非期望产出的SBM，衡量企业具有非期望产出的dea模型(SBM for unexpected output, DEA model to measure the unexpected output of enterprises)
- 2019-11-11 11:22:54下载
- 积分：1
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NSGA2算法
说明： NSGA2多目标优化算法，配上说明文档
NSGA-Ⅱ算法是 Srinivas 和 Deb 于 2000 年在 NSGA 的基础上提出的，它比 NSGA算法更加优越：它采用了快速非支配排序算法，计算复杂度比 NSGA 大大的降低；采用了拥挤度和拥挤度比较算子，代替了需要指定的共享半径 shareQ，并在快速排序后的同级比较中作为胜出标准，使准 Pareto 域中的个体能扩展到整个 Pareto 域，并均匀分布，保持了种群的多样性；引入了精英策略，扩大了采样空间，防止最佳个体的丢失，提高了算法的运算速度和鲁棒性。(NSGA2 multi-objective optimization algorithm, with instructions)
- 2021-03-02 10:49:34下载
- 积分：1
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