PV-MODELE6

实现了彩色图像的RGB和HIS模型的互换(Achieved the RGB and HIS color image exchange model)

稀疏人脸识别,来至论文Robust Face Recognition via Sparse Representation(Robust Face Recognition via Sparse Representation)

音符分割cqt算法的相关matlab实现，2011年更新版(Note segmentation CQT algorithm related matlab implementation, 2011 update)

matlab 的EOF 和REOF、CCA、SVD方法(EOF and REOF CCA SVD matlab code)

Application of Conservative Power Theory for Active Power Filtering of Line-Commutated HVDC for Offhsore Wind Power

lead acid battery model mdl simulink

无线传感器网络协议的数据传输对比以及能量消耗对比(Wireless sensor network data transfer protocol and the energy consumption comparison Comparison)

泊松方程的中心差分求解，可以直接画出图。(Central difference solving the Poisson equation, can be directly drawn map.)

a pdf about matpower. The meanual about matpower in Chinese.

拟牛顿法和最速下降法(Steepest Descent Methods)一样只要求每一步迭代时知道目标函数的梯度。通过测量梯度的变化，构造一个目标函数的模型使之足以产生超线性收敛性。这类方法大大优于最速下降法，尤其对于困难的问题。另外，因为拟牛顿法不需要二阶导数的信息，所以有时比牛顿法(Newton s Method)更为有效。如今，优化软件中包含了大量的拟牛顿算法用来解决无约束，约束，和大规模的优化问题。(The quasi-Newton method and the Steepest Descent Methods only require that each step iterations know the gradient of the objective function. By measuring the change of the gradient, constructing a model of the objective function is sufficient to produce superlinear convergence. This method is much better than the steepest descent method, especially for difficult problems. In addition, because the quasi-Newton method does not require information on the second derivative, it is sometimes more effective than the Newton s Method. Today, the optimization software contains a large number of quasi-Newton algorithm used to solve the unconstrained, constraint, and large-scale optimization problems.)