-
插补算法及步进电机
说明： 插补算法 步进电机控制算法 很好的资料(PWM 1234567891010101010101010101)
- 2020-11-21 13:50:25下载
- 积分：1
-
chapter2
抛物型方程古典&c-n格式差分算法 dasdsadsadasdsdsadas(Parabolic equations of classical & c-n format dasdsadsadasdsdsadas differential algorithm)
- 2009-05-12 15:50:24下载
- 积分：1
-
fft
说明： 用DFT 函数计算电压u, 电流i的基波(f1=50 Hz)的有效值和相位;
用FFT函数分别计算电压u和电流i 所包含的直流,基波和谐波的有效值和初相角;
可计算基波(f1=50 Hz)和各次谐波的功率p和功率因数con?.(The effective value and phase of fundamental wave (f1 = 50 Hz) of voltage U and current I are calculated by DFT function.
The effective values and initial phase angles of DC, fundamental and harmonic waves contained in voltage U and current I are calculated by FFT function, respectively.
The power P and power factor con of fundamental wave (f1 = 50 Hz) and harmonics can be calculated.)
- 2019-03-28 15:48:19下载
- 积分：1
-
mie
该函数程序用于计算大气米散射中吸收、散射、衰减、后向散射。(Computation of Mie Efficiencies extinction (qext), scattering (qsca), absorption (qabs), backscattering (qb), asymmetry parameter (asy=<costeta>) and (qratio=qb/qsca).)
- 2013-06-09 10:57:31下载
- 积分：1
-
SPH3DOnTheBook
Dr. Liu 在《光滑粒子流体动力学--一种无网格方法》一书中提供的光滑粒子流体动力学（SPH）源程序，采用Fortran语言编写，用于计算可压缩流体力学问题。(Dr. Liu in the " Smooth Particle Hydrodynamics- a meshless method," a book provided by the smooth particle hydrodynamics (SPH) source code, using Fortran language, used to calculate the fluid flow problem.)
- 2021-01-08 11:58:51下载
- 积分：1
-
kde
给定样本点，采用高斯核密度估计，求出概率密度分布函数。(It is good to use this method to evaluate pdf)
- 2017-08-17 10:40:57下载
- 积分：1
-
Inverse
使用C编写的复数矩阵求逆，使用高斯消去法，已经和matlab结果做过对比，无误(Written in C and the complex matrix inverse, using the Gaussian elimination method, has been done and matlab results contrast, correct)
- 2012-07-11 18:23:24下载
- 积分：1
-
Response_surface_partial_least_squares_method
说明： 工艺优化中偏最小二乘法对响应面法的改进，显著改善模型系数不显著现象(Matlab program for calculating grey correlation matrix)
- 2019-04-06 20:58:03下载
- 积分：1
-
QuartercarJJJ
通过具有随机结构参数的四分之一车辆模型研究了具有不确定性结构参数的车辆在受到来自道路的随 机激励作用下的振动响应问题。将簧上质量、簧下质量、悬挂阻尼、悬挂刚度以及轮胎刚度均认为是随机变量。将路面的不平整引起的对车辆的激励看作高斯随机过程并通过简单指数功率谱密度来建立力学模型。(By a quarter vehicle model with random parameters studied vehicle structure uncertain structural parameters of the vibration by the random excitation the road response under question. The sprung mass, unsprung mass, suspension damping, suspension stiffness and rigidity of the tire are considered to be random variables. The excitation caused by uneven road vehicle regarded as Gaussian random process and to create a mechanical model of a simple exponential power spectral density.)
- 2020-11-02 10:09:53下载
- 积分：1
-
Conjugate-Gradient-Method
共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method between the method and Newton' s method, it takes only a first derivative information, but to overcome the steepest descent method convergence slow shortcomings, but also to avoid the Newton method needs to be stored Hesse and disadvantages of computing inverse matrix and the conjugate gradient method is not only one of the most useful methods to solve large linear equations, solution of large-scale nonlinear optimization is one of the most effective algorithm. In various optimization algorithm, conjugate gradient method is a very important one. The advantage is that a small amount of memory required, with step convergence, high stability, and does not require any external parameters.)
- 2017-03-14 15:48:15下载
- 积分：1
