Polynomial-arithmetic-calculation

说明：  数学建模工具箱 有丰富的数学建模模型，全部用matlab语言编写(Mathematical Modeling Toolbox)

ABAQUS扩展子程序应用，实例学习，仅供参考(ABAQUS extended subroutine application)

牛顿插值法进行多项式逼近，matlab编译成功，直接可用(Newton interpolation polynomial approximation method, matlab compiled successfully, directly available)

波面的zernike多项式拟合，在光学测试领域应用相当广泛(Wave surface zernike polynomial fitting, in the field of application of a wide range of optical test)

新建复数类进行复数运算，重载+、=+、*、/等运算符用于复数间的运算。(New complex class complex operation, overloading+ =+,*,/operator for computing the plural.)

cluster in quest聚类算法是基于密度和网格的聚类算法。对于大型数据库的高维数据聚类集合。(cluster in quest clustering algorithm is based on the density of the grid and clustering algorithm. For large database of high-dimensional data clustering pool.)

支持向量机和BP神经网络都可以用来做非线性回归拟合，但它们的原理是不相同的，支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。大量仿真证实，支持向量机的泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合(Support vector machines and BP neural network can be used for non-linear regression fit, but they is not the same principle, support vector machine based on structural risk minimization theory, generally considered its generalization ability than the neural network of strong . Inherent defect- a large number of simulation confirmed that generalization ability of support vector machine is stronger than the BP network, but also to avoid neural network training results unstable. The source code can be used for linear regression, nonlinear regression, nonlinear function fitting a variety of applications, data modeling, forecasting, classification)

各种kalman滤波器的设计，包括广义互相关函数GCC时延估计，实现典型相关分析。( Various kalman filter design, Including the generalized cross-correlation function GCC time delay estimation, Achieve canonical correlation analysis.)

说明：  应用fluent进行两相流的仿真，内容充实具体，简易使用，是进行两相流仿真的一个很好的算例。pdf文件。(Using fluent to simulate two-phase flow, the content is rich and specific, easy to use, is a good example of two-phase flow simulation)

通过完整ansys命令流，模拟分析悬索桥变形。希望对学习ansys有限元及桥梁工程的技术人员有所帮助。(无)