Mathematica实现数值分析

关于粗糙集对属性进行约简，一个很好的计算工具(On rough set of attributes about Jane, a very good tool)

说明：  数值分析中的chebyshev拟合程序，学习数值分析的同学可以参考参考(Numerical Analysis of chebyshev fit program, students study and numerical analysis can refer to reference)

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)

实现重力式热管换热器设计计算功能，简单按照设计任务书，给出所需热管的结构尺寸，涉及的热管蒸发段和冷凝段长度分别为1m，绝热段长度30cm，内径20cm，外径25cm，热管工质为水。(C language for thermosyphon s design.Realize the gravity heat pipe heat exchanger design and calculation functions , simple design in accordance with the mission statement , given the size of the required structure of the heat pipe , heat pipe evaporator and condenser section lengths were involved 1m, adiabatic length 30cm, inner diameter 20cm, 25cm outside diameter heat pipe working fluid is water.)

有关ABAQUS计算多相材料的前处理器，包括网格划分及区域划分(ABAQUS calculation of multiphase material about previous processors, including mesh and zoning)

数据挖掘中，关联规则的例子，源码， arview算法的应用实例(data mining, association rules example, the source, the algorithm arview Application)

fortran数值计算方面的一本好书，计算机数值算法的圣经。(Numerical Recipes in Fortran 77 The Art of Scientific Computing Second Edition Volume 1 of Fortran Numerical Recipes)

实现矩阵的四则运算，并能计算矩阵的特征值和特征向量(Four arithmetic operations of matrices are realized, and eigenvalues and eigenvectors of matrices can be calculated.)

利用贝叶斯分类原理实现多义词的消歧。首先利用训练语料进行训练，然后基于机器已经获取的知识的基础上对生语料进行词义标注。(Realize the principle of the use of Bayesian classification polysemous word sense disambiguation. First of all, the use of training corpus for training, and then the machine has been based on knowledge gained on the basis of corpus for semantic tagging of Health.)

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)