-
45095smoothing
这个帖子中我想讨论的是移动窗口多项式最小二乘拟和平滑方法，粗糙惩罚方法，以及kernel平滑方法。(Posts in this discussion I think are moving window least squares polynomial fitting smoothing method, crude methods of punishment, as well as the kernel smoothing method.)
- 2009-03-20 14:20:09下载
- 积分：1
-
FFT程序
这是利用C++ 编的fft(This is the C series fft)
- 2021-03-09 17:19:27下载
- 积分：1
-
Matrix
采用随机数产生2到10阶的随机矩阵，并实现了矩阵的相关运算，比如：加减，乘除，求逆，求行列式(Using random Numbers generated random matrix from 2 to 10 order , and achieving relative to the implementation of the matrix operations, such as: add and subtract, multiple and divided, inverse and determinant)
- 2013-07-17 06:40:04下载
- 积分：1
-
first_order_differ---solve
使用四阶Runge-Kutta算法解决两个一阶微分方程组，并输出到文件。(solve a two cupled first order differential equations)
- 2017-04-12 11:03:06下载
- 积分：1
-
Fluent_tutorial
Fluent 学习文件
全方位的指导手册 (Building geometry
Setting boundary condition types)
- 2014-01-14 10:26:21下载
- 积分：1
-
npinto-python-cuda-a361b56
Python bindings for CUDA 2.1 with numpy integration
- 2010-01-11 14:03:01下载
- 积分：1
-
LinearBarElement
有限元中LinearBarElementStiffness的matlab(FEA LinearBarElementStiffness)
- 2013-10-11 20:26:21下载
- 积分：1
-
82859165cifa
编程序，按如下要求来求解n元一次线性方程组（假设方程组具有唯一解）。 （1）方程个数n之值由用户通过键盘输入； （2）方程组存放在“增广矩阵”A之中，而n行n+1列的A存储空间通过new来动态分配，且A的各元素值也由用户通过键盘输入
(Allocation procedures, the following requirements to solve the n-a system of linear equations (assuming a unique solution of equations). (1) the number n of the value equation by the user through the keyboard input (2) equations stored in the augmented matrix A, while n line n+ 1 column A storage space through the new dynamically allocated, and A The value of each element by the user through the keyboard input)
- 2011-06-21 22:50:34下载
- 积分：1
-
ErosionTabakoff
用于拓展fluent磨损模型的UDF，采用tabakoff经验公式描述磨损量。(a udf to optimize erosion model in Fluent)
- 2021-03-05 17:19:31下载
- 积分：1
-
jMetalPy-master-python
用Python语言写的多目标进化算法库（2017年最新版本），包含常见的多目标进化算法以及当前最新文献中的最新算法，能够实现不同算法之间的性能比较（包含常见的GD, IGD, HV等评价指标自动生成）。可以供进化计算、多目标优化、单目标优化算法的学习参考。Python语言版本简单易懂，实用性强。(Library of multi-objective evolutionary algorithm written in Python language (the latest version in 2017), including multi-objective evolutionary algorithm and the most common new literature in the new algorithm, can realize the performance between different methods (including the common GD, IGD, HV and other evaluation index generation). It can be used as a reference for evolutionary computation, multi-objective optimization and single objective optimization. Python language version is simple and easy to understand, practical.)
- 2020-10-06 19:37:37下载
- 积分：1
