tsp

分形方法描述了物体的粗糙度，可以结合实体造型软件使用(fractal interpolated)

层次分析系统的算法，我找了很久才找到的，很不错(Analysis System-level algorithms, looking for a long time before I found very good)

说明：  用简单迭代法求非线性方程f(x)=0有根区间[a,b]中的一个根 maiter 用途：用定步长高斯就积公式求函数的积分 magsint(w)

说明：  分形树生成程序，matlab源码，有兴趣的可以来看一看。(Fractal tree generator, matlab source, interested can come take a look at.)

Bacterial Foraging Orientec by Particle swarm optimization_国外人写的细菌粒子群算法，matlab实现求函数优化(Bacterial Foraging Orientec by Particle swarm optimization)

说明：  非常完善的GPS toolbox，内含中文readme以及中文翻译的介绍。 GPS TOOLBOX包含以下内容： 1、GPS相关常量和转换因子； 2、角度变换； 3、坐标系转换： 点变换； 矩阵变换； 向量变换； 4、专用测绘程序； 5、专用统计函数； 6、GPS时间工具； 7、专用GPS数据处理函数； 8、航迹和相关工具； 9、卫星位置计算； 10、高度和方位角判定，以及卫星可见性； 11、DOP（dilution of precision）计算，卫星选取和相关函数； 12、专用信号处理和Kalman滤波函数； 13、伪距和误差判定及相关函数； 14、用户位置判定及相关函数； 15、RAIM/FDE可用性和完好性评估相关函数。(Very good GPS toolbox, contains readme and the Chinese translation of the Chinese introduction. GPS TOOLBOX contains the following: 1, GPS-related constants and conversion factors 2, the point of transformation 3, coordinate system conversion: Point transformation Matrix transformation Vector transformation 4, special mapping procedures 5, special statistical functions 6, GPS time tools 7, special GPS data processing function 8, track and related tools 9, the satellite position calculation 10, determine the height and azimuth, and satellite visibility 11, DOP (dilution of precision) calculations, the satellite selection and related functions 12, special signal processing and Kalman filtering function 13, pseudo-range and error determination and related functions 14, user location determination and related functions 15, RAIM/FDE availability and integrity assessment of related functions.)

RBF预测，用RBF预测蒙脱土纳米复合材料的双指标性能(RBF prediction, prediction with RBF nanocomposites performance of two indicators of)

无约束多维极值优化问题，这里提供算法，供大家参考(Multidimensional global optimization problems without constraint, provided here algorithm, for your reference)

EDFA Single Pass Gain Analytical

recursive least square (RLS) algorithm using matlab with examples