panbie

Delphi实现最小二乘法，进行多点拟合，目前支持4点拟合(Delphi realizes the least square method and multi-point fitting. At present, it supports four-point fitting.)

随机调制信号下的模拟ppm，阐述了负荷预测的应用研究,是国外的成品模型。( Random ppm modulated analog signal under It describes the application of load forecasting, Foreign model is finished.)

2D FDTD TE mode with a plane wave source and a PML abc

在VS2005环境下，使用CUDA编程实现SAR成像中CSA算法的实现，得到了很好的加速比。(In the VS2005 environment, using the CUDA programming SAR imaging algorithm implementation in the CSA, has been very good speedup.)

cressman格点插到格点程序，从一个场插值出另一个分辨率不同的场(interpolates fields to another grid as specified )

BER calculate between 2 files.

多目标粒子群的matlab程序，文中设置了两个目标，f1和f2，采用加权求解的方式(more goals in Matlab PSO procedures, the text set up two goals, f1 and f2. using the weighted solution!)

改程序用于大地电磁法的一维反演，运用波斯蒂克反演方法(Reform program for the one-dimensional inversion of magnetotelluric method, the use of the Persian Mystic inversion method)

自适应网格生成的文章，广泛的应用到有限元和无网格方法中(a nice paper of adaptive mesh generation)

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(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method and Newton' s method between a method that takes only a first derivative information, but to overcome the slow convergence of the steepest descent method shortcomings, but also avoid the need to store Newton and computing the inverse Hesse matrix and disadvantages, conjugate gradient method is not only to solve large linear equations of the most useful methods, large-scale nonlinear optimization solution is the most efficient algorithms)