shuiku-tiao-hong-

雅可比迭代（过关法）计算实对称矩阵的特征值和特征向量(Jacobi iteration (immigration law) the calculation of Real Symmetric Matrix Eigenvalues and eigenvectors)

mimo系统中在高信噪比下，一个发射天线，两个接收天线的性能仿真。(mimo systems at high signal to noise ratio, a transmitting antenna, two receive antenna performance simulation.)

这些代码主要是解决数学建模中存在的一些普遍问题的。(These codes mainly deal with some common problems in mathematical modeling)

解无约束优化问题的锥模型拟牛顿信赖域算法。不同与传统的二次模型方法。(A quasi-Newton algorithm based on the simple dogleg method is developed.)

说明：  数值分析 显示算法 非线弹性 滞回曲线(Numerical analysis showed that the algorithm the linear elastic hysteresis curve)

打靶法求解两点边值问题 实例测试通过，可直接运行，并带有详细代码注释 采用全局收敛的牛顿-拉普森迭代算法求解编制问题 绝对物超所值！(Two-point boundary value problem shooting method)

二层地质模型波场模拟,用有限差分进行波场的模拟,充分利用多波多分量地震记录，以及各向异性方面的独特信息，可有效地减少 纵波勘探的多解性，定量地描述裂缝储层，改善某些纵波资料成像不好地区的构造 成像。这样可获得比纵波分辨率高的多波剖面，从而有利于研究小幅度构造、断层、 裂缝裂隙等复杂地质现象，对油气勘探与开发具有现实意义和实用价值(Two-layer geological model wave field simulation, using finite difference wave field simulation to make full use of multi-wave multi-component seismic records, and the anisotropy of the unique information can be effective in reducing the P-wave exploration, multi-solution and quantitatively describe the crack reservoir to improve the poor image of some P-wave data area structure imaging. This availability of higher resolution than the longitudinal wave of multi-wave profile, thus contributing to the small amplitude structures, faults, cracks, fissures and other complex geological phenomena, for oil and gas exploration and development of practical significance and practical value)

几个使用的解线性方程组的程序，包括高斯消去法，高斯列主元法，高斯——赛德尔消去法。简明实用。(Gauss elimaination, Gauss_seidel ellimination)

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)

经典非线性动力学模型，布鲁塞尔子模型，可直接运行，运算效率高。(nonlinear dynamics Brusselator model)