Linear-System

比特交织编码中的迭代解映射算法简化 复杂度比原算法降低(Bit interleaved coded mapping algorithm in the iterative solution simplifies complex than the original algorithm reduces)

利用c++编写了一个外点惩罚函数，用于对于对目标值的推算与尝试。(Use c++ to write a point outside the penalty function for the target value for the calculation and try.)

用切比雪夫多项式逼近已知函数 用勒让德多项式逼近已知函数 用帕德形式的有理分式逼近已知函数 用列梅兹算法确定函数的最佳一致逼近多项式 求已知函数的最佳平方逼近多项式 用傅立叶级数逼近已知的连续周期函数 离散周期数据点的傅立叶逼近 用自适应分段线性法逼近已知函数 用自适应样条逼近（第一类）已知函数 离散试验数据点的多项式曲线拟合 离散试验数据点的线性最小二乘拟合 离散试验数据点的正交多项式最小二乘拟合 (By using Chebyshev polynomial approximation of the known functionApproximation of the known functions by Legendre polynomialsApproximation by rational fraction of known function in the form of PadmaTo determine the best uniform function polynomial approximation with the Lemez algorithmThe best known polynomial square for function approximationContinuous periodic function with Fourier series approximation of the knownApproximation of discrete data points in the Fu Liye cycleApproximation of the known function with adaptive piecewise linear methodAdaptive spline approximation ( first class ) known functionPolynomial curve fitting of discrete data pointsLinear least squares fitting of discrete data pointsOrthogonal polynomial least squares fitting of discrete data points)

求解Riemann 问题精确解的Fortran程序(Exact solution of Riemann problem solving Fortran program)

计算典型相关算法，求出最大投影向量,以及最大投影向量对应的相关系数 (calculate canonical correlations, find the largest correlation coefficients)

说明：  C语言编写8个点的FFT程序,在WINTC上编译通过(C language 8 point FFT procedures WINTC compiled through)

4阶龙格库塔解二阶微分方程，使用matlab软件编程进行渐进计算。(4th order Runge-Kutta solution of second-order equations)

矩量法的fortran程序，忘了那本书的源码了(Method of Moments fortran program, forgot the source of the book)

Kalman滤波的一个仿真程序，基于“当前”统计模型(Kalman filter, a simulation program, based on the )

说明：  层次分析法：计算代码在8文件中最后一页上，有实例。(AHP)