资源列表
PUNISH
- 这个是优化方法中的一种方法，叫做罚函数法，是一种用于带约束条件的优化。-This optimization method is a method, called the penalty function method, is a condition for constrained optimization.
multifit
- 功能：离散试验数据点的多项式曲线拟合 调用格式：A=multifit(x,y,m) 其中：x: 试验数据点的x坐标向量 Y: 试验数据点的y坐标向量 m: 拟合多项式的次数 -Functions: discrete experimental data points, the polynomial curve fitting call format: A = multifit (x, y, m) where: x: experimental data points, x
VOF-model-CPP-code
- 水流界面追踪VOF模型的CPP源码，比较准确，用于界面变化分析-Water interface tracking the VOF model' s CPP source
decisionTree
- A simple one two layer decision tree implementation.
Interior_point_method
- 内点法是从可行域内某一初始内点出发，在可行域内进行迭代的序列极小化方法。它仅用于求解不等式约束优化问题。这里列出内点惩罚函数法的六个子程序。 -Interior point method is a feasible region within the initial point of view, the region, where feasible, to carry out the sequence of iterative minimization method. It is only
bp.example
- 采用动量梯度下降算法训练BP网络，采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络-Gradient descent algorithm using momentum BP network training, using two training methods, namely, LM optimization algorithm (trainlm) and Bayesian regularization algorithm (t
Obj6
- 对实况6小时降水进行客观分析,用于输出实况降水水平分布.-This code is objecting the real rainfall station data.
try_fxlms
- THANX ALOT I HAVE GOT IT-THANX ALOT I HAVE GOT IT..
code
- 用偏微分方程法实现 x-y 平面上的给定的椭圆区域的结构化网格划分.同时在控制函数中设置某些参数，还可以实现网格的整体的移动或局部的吸引。-With partial differential equations method to achieve a given xy plane elliptical region structured mesh. While in the control function to set some parameters, but also allows the
gsp
- 一种多项式插值方法的计算程序，只要给定多项式次数n，就可以进行插值计算。-1 dimensional power n interpolation program of Matlab.
Gauss-Seidel-method
- 使用高斯塞德尔数值算法解方程组的解，一般可结合牛顿法使用-Szczecin Del numerical solution algorithm for solving equations, Newton' s method can be combined with general use
OL.rar
- 可以实现数值分析中的欧拉法、后退欧拉法和改进欧拉法的计算，程序中涉及到拉界面，以及许多控件的使用。,Numerical analysis can be achieved in the Euler, backward Euler and improved Euler s method of calculation, the procedure involved in drawing interface, as well as the use of many controls.