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delta-master
非圆形离散元程序,通过采用非圆形颗粒实现康转动性能(Non-circular discrete element program, through the use of non-spherical particles achieve Kang rotation capability)
- 2016-05-18 11:10:53下载
- 积分:1
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lssvmprediction
最小二乘支持向量机做预测。程序可运行学习。在matlab上运行。(This is a program about prediction using LSSVM.It can run successfully for learning.This program can be used on matlab.)
- 2013-08-12 20:17:12下载
- 积分:1
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rk4
这是四阶的龙格库塔算法和lyapunov指数稳定性。(tihs is a runge kutta method )
- 2012-12-13 11:06:20下载
- 积分:1
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liftingnodeform
利用雷诺方程和有限元差分法,计算阶梯滑块的压力分布(Reynolds equation and the use of finite element difference method to calculate the pressure distribution of the slider ladder)
- 2020-11-20 10:59:37下载
- 积分:1
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OpenCFD-EC2D-1.12
计算流体力学有限体积法程序开源代码改进版本,增加了湍流模型(An improved Edition of open source computational fluid dynamics finite volume method program, increased turbulence model)
- 2013-10-08 17:03:48下载
- 积分:1
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Mur3DFDTD
说明: 三维FDTD,matlal编程,mur边界条件,平面波光源(Three-dimensional FDTD, matlal programming, mur boundary conditions, plane wave light source)
- 2020-09-11 18:57:59下载
- 积分:1
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mtl_reg_sim_complinearized
多元非线性回归——岭回归方法,比常规的最小二乘更适合数据量较大的优化问题(Multiple nonlinear regression- ridge regression method is more suitable than the conventional least squares optimization problem of the large amount of data)
- 2020-09-19 00:47:52下载
- 积分:1
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Homotopy
求解非线性方程组
的同伦曲线法(Solving nonlinear equations homotopy curve method)
- 2008-07-04 01:42:06下载
- 积分:1
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foundations-of-linear-operator-theory-2005
说明: 介绍线性算子的基本概念的文章,这是书里面的一个章节(Foundation of linear operator theory)
- 2020-06-21 00:40:02下载
- 积分:1
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kriging
包括基本的克里金(Kriging)插值法实现代码,仅实现基本方法部分,不包含扩展克里金方法( kriging uses ordinary kriging to interpolate a variable z measured at
locations with the coordinates x and y at unsampled locations xi, yi.
The function requires the variable vstruct that contains all
necessary information on the variogram. vstruct is the forth output
argument of the function variogramfit.
This is a rudimentary, but easy to use function to perform a simple
kriging interpolation. I call it rudimentary since it always includes
ALL observations to estimate values at unsampled locations. This may
not be necessary when sample locations are not within the
autocorrelation range but would require something like a k nearest
neighbor search algorithm or something similar. Thus, the algorithms
works best for relatively small numbers of observations (100-500).
For larger numbers of observations I recommend the use of GSTAT.
Note that kriging fails if there are two or more observa)
- 2015-01-08 15:43:50下载
- 积分:1