fredholm

介绍MAPLE使用方法的书籍。网上关于maple的指导书很少，这个是不错的了。对初学者来说可以迅速上手，我当时就是因为临时需要才学的，边学边用，很快就上手了。(An introductory book of MAPLE, published in 2007. Easy to understand and use. Suitable for beginners and amateurs.)

Particle Filter Design file It contains algorithm for particle filter

说明：  Do you need to gain confidence with handling numbers and formulae? Do you want a clear, step-by-step guide to the key concepts and principles of statistics? Nearly all aspects of our lives can be subject to statistical analysis. Statistics: An Introduction shows you how to interpret, analyze and present figures. Assuming minimal knowledge of maths and using examples from a wide variety of everyday contexts, this book makes often complex concepts and techniques easy to get to grips with. This new edition has been fully updated. Whether you want to understand the statistics that you are bombarded with every day or are a student or professional coming to statistics from a wide range of disciplines, Statistics: An Introduction covers it all.

通过matlab计算allan variance，较为复杂，注释详细(Matlab Allan variance, more complex, detailed notes)

美国牛人编写的以平面框架结构为基础的桥梁设计与校核软件，fortran90格式，已经调通，完全可以运行。(U.S. cattle were written in a flat frame-based bridge design and calibration software, fortran90 format, has been transferred through, can run.)

说明：  通过模型决定系数完成支持向量机参数优化，并建立基于大数据的支持向量机模型实现回归拟合(The parameters of SVM are optimized by the coefficient determined by the model, and the regression fitting is realized by the support vector machine model based on big data)

J2000坐标系与WGS84坐标系之间的转换矩阵计算。(The matrix between J2000 and WGS84 coordinat system)

该文件解决了电磁场和天线问题计算当中的近远场转换的问题，它也可以应用在一般散射问题的求解中。(this file contains an algorithm that could solve problems within the EM and antenna near to far field questions. Also, it could be used in general scattering problems.)

采用随机数产生2到10阶的随机矩阵，并实现了矩阵的相关运算，比如：加减，乘除，求逆，求行列式(Using random Numbers generated random matrix from 2 to 10 order , and achieving relative to the implementation of the matrix operations, such as: add and subtract, multiple and divided, inverse and determinant)

数值计算各算法的程序,包括:牛顿迭代法,超松驰迭代法,微分法等.对于初学数值分析这门课程的人有很大的帮助.(Numerical calculation procedure of the algorithm, including: Newton iteration, ultra-relaxation iteration method, differential method and so on. Beginner numerical analysis for this course were very helpful.)