deleteModelGenes

How to check the url connections. Pretty straight forward.

Generating an Optical Sensor Image From Simulated Movement Data This script (aero_pointer_tracker.m) generates a movie with 64 frames and a frame size of 64 by 64 pixels (at 10 frames per second). The movie contains a simulation of a moving target that is moving through a structured background that is itself moving. A jitter motion caused by random vibration is also generated (in a Simulink® model called "aero_vibrati") and the jitter motion is added into the overall sensor motion. Finally, the image is blurred through a Gaussian optical point spread function. Note: Changing delt here also requires a change in the parameters set-up dialog box in the Simulink model "vibration".

新发表论文：New Local Segmentation Model for Images with Intensity Inhomogeneity，附源码，欢迎下载(New papers: New Local Segmentation. The Model for Images with of Intensity Inhomogeneity attached source are welcome to download)

it s a package for load flow analysis by Newton Raphson method

一种改进的变步长归一化算法的研究，对比归一化算法，有了比较好的改善(An improved variable step length normalization algorithm research, contrast normalization algorithm, a better improvement )

the code focus interest kernel decomposition

Antenna and EM Modeling with MATLAB

说明：  第6章 无约束一维极值问题 所在章节 函数名 功 能 6.1 minJT 用进退法求解一维函数的极值区间 6.2 minHJ 用黄金分割法求解一维函数的极值 6.3 minFBNQ 用斐波那契法求解一维函数的极值 6.4 minNewton 用牛顿法求解一维函数的极值 6.5 minGX 用割线法求解一维函数的极值 6.6 minPWX 用抛物线法求解一维函数的极值 6.7 minTri 用三次插值法求解一维函数的极值 6.8.1 minGS 用Goldstein法求解一维函数的极值 6.8.2 minWP 用Wolfe-Powell法求解一维函数的极值 (Chapter 6 unconstrained extremum problem one-dimensional sections of the functional 6.1 minJT function method for solving one-dimensional with the advance and retreat of the extreme range of 6.2 minHJ function of the golden section method using one-dimensional function of the extreme 6.3 minFBNQ use Fibonacci method one-dimensional function of the extreme 6.4 minNewton Newton method with one-dimensional function with extreme 6.5 minGX one-dimensional secant method to solve the extreme 6.6 minPWX function method for solving one-dimensional parabolic function of the extreme 6.7 minTri method with cubic interpolation one-dimensional function of the extreme 6.8.1 minGS Goldstein method with one-dimensional function of the extreme 6.8.2 minWP Wolfe-Powell method with a one-dimensional extreme value function)

余弦分析采用最小二乘法，以适应一个正弦波的时间序列。余弦分析通常用于生物时间序列分析，演示predictible的节奏。这种方法可用于一个不平等的间隔时间序列。(Cosinor analysis uses the least squares method to fit a sine wave to a time series. Cosinor analysis is often used in the analysis of biologic time series that demonstrate predictible rhythms. This method can be used with an unequally spaced time series.)

pso 算法的matlab实现， pso 算法的的matlab实现。 ，经测试可直接使用。 (pso algorithm matlab realize pso algorithm matlab realize. Has been tested and can be used directly.)