登录
首页 » matlab » MATLAB

MATLAB

于 2014-09-19 发布 文件大小:44KB
0 228
下载积分: 1 下载次数: 6

代码说明:

  单自由度系统对初始条件和简谐激励相应 由单自由度的运动方程和初始条件得到二阶非齐次常微分方程,它的解有对应的齐次方程的通解和非齐次方程的特接构成。(Single degree of freedom system to initial conditions and the corresponding harmonic excitation Special general solution of the equations of motion and initial conditions by a single degree of freedom to get the second order non-homogeneous ordinary differential equations, its solution has a corresponding homogeneous equation and non-homogeneous equation then constituted.)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • HCM
    HCM是模糊聚类,k均值算法 !!!!!!(hcm)
    2010-11-16 17:12:36下载
    积分:1
  • An_Introduction_to_Digital_Ima(BookZZ.org)
    book for image analysis
    2014-11-27 18:47:37下载
    积分:1
  • Butterfly Optimization Algorithm (BOA)
    说明:  cdfvgxhj,hfik.guo/lihpO:J{"P}K {Liuyhtrgesa
    2020-08-14 15:07:31下载
    积分:1
  • Pres_OM005a
    Pyramidal Horn design,calculation and results
    2009-05-23 19:29:14下载
    积分:1
  • AIC
    实现了AIC(主动干扰消除)算法,并仿真了AIC算法的性能(Realized AIC (active interference cancellation) algorithm and simulated performance of the algorithm AIC)
    2013-09-02 10:14:11下载
    积分:1
  • SVM21norm
    A matlab implementation of SVM for multiclass learning. For more information: Xiao Cai, Feiping Nie, Heng Huang, and Chris Ding. Multi-Class L2,1-Norms Support Vector Machine. IEEE International Conference on Data Mining (ICDM), Vancouver, Canada, 2011.
    2020-08-30 12:28:10下载
    积分:1
  • stbc21
    stbc在锐利信道的2发2收情况下的信噪比与误码率(stbc sharp channel 2 in the hair under 2 receive signal to noise ratio and bit error rate)
    2010-06-24 06:02:04下载
    积分:1
  • matlab
    说明:  matlab6.5辅助小波分析与应用例程(matlab6.5 wavelet analysis and application of auxiliary routines)
    2008-11-20 09:15:25下载
    积分:1
  • BPSK_QPSK_16QAM_64QAM
    bpsk,qpsk,16qam,64qam的源代码,实现其仿真功能(bpsk, qpsk, 16qam, 64qam source code, to achieve its simulation)
    2011-10-02 04:11:31下载
    积分:1
  • PDF-pso
    In this project, the standard particles swarm optimization - named here (MyPSO) is simulated and tested by five well-known benchmark functions (Sphere, Ackley, Rastrigin, Rosenbrock and Schwefel p2.26). Then, a new mechanism- named here (Improved MyPSO) is introduced to improve the performance of the standard particles swarm optimization to achieve better results and avoid stagnation at bad results. This new mechanism is also tested by the same benchmark functions. The results of improved PSO are then compared with those of standard PSO and different published improved PSO (SPSO, PSO-XD, CPSO-S and PSO-P5).
    2013-03-14 15:41:13下载
    积分:1
  • 696516资源总数
  • 106475会员总数
  • 7今日下载