RMTstat_0.2.tar

说明：  多元统计分析—基于R- 数据data，讲解多元统计在R中如何实现，对于多元统计软件入门，是很实用的课程(Multivariate Statistical Analysis Based on R language .about data)

处理任意两点间多条公交、地铁线路的到达问题此，改程序将一二问综合在一起，方便精简，运行速度快(Treatment between any two many bus, subway lines to reach this issue, change the program integrated with the twelve asked to facilitate streamlined, fast)

对于给定某一线性时不变网络（不含受控源），根据网络属性及结构，通过编程实现自动生成其关联矩阵A和一个树。(Given a linear time-invariant network (excluding controlled source), according to the network properties and structure of the automatically generated by programming its associated matrix A and a tree.)

正交实验中的极差分析代码，确定因素的优水平和最优水平组合，给出指标趋势图。(Orthogonal experiment range analysis code to determine the factors that the optimal level of excellent level and combination of indicators of trends is given.)

采用数值分析课程中的插值逼近以及曲面拟合方法来估算复杂的函数表达式。(Interpolation approximations and surface fitting methods are used in the numerical analysis course to estimate complex function expressions.)

说明：  基于神经网络的数字预失真技术，即智能DPD(Digital Predistortion Technology Based on Neural Network)

利用BLT方程求解平面波对双线结构传输线的终端响应。(BLT equation for solving the plane wave transmission line on two-lane structure of the terminal response.)

说明：  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.)

分维反映了复杂形体占有空间的有效性，它是复杂形体不规则性的量度。它与动力系统的混沌理论交叉结合，相辅相成。它承认世界的局部可能在一定条件下或过程中，在某一方面（形态，结构，信息，功能，时间，能量等）表现出与整体的相似性，它承认空间维数的变化既可以是离散的也可以是连续的，进而拓展了视野。(Fractal dimension reflects the validity of space occupied by complex bodies, which is a measure of irregularity of complex bodies. It combines with chaos theory of dynamic system and complements each other. It recognizes that the part of the world may be similar to the whole in certain conditions or processes (form, structure, information, function, time, energy, etc.). It recognizes that the change of spatial dimension can be discrete or continuous, thus expanding the horizon.)

用C++编写的一维和二维快速傅里叶变换程序(Prepared with C++ one-dimensional and two-dimensional fast Fourier transform procedure)