matlab-fluent-and-heat-transfer

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)

文章由重力和重力梯度的基本理论出发，讨论了重力分量和重力梯度张量分量的2-D傅立叶变换 与重力位的傅立叶变换之间的关系。推导了航空重力梯度仪的测量原理，并对航空重力梯度测量的 应用做了简要的介绍(Article by gravity and gravity gradient of the basic theory, discussed the components of gravity and gravity gradient tensor component of the 2-D Fourier Transform and gravity places the relationship between the Fourier transform. Derivation of the airborne gravity gradiometer measuring principle, and airborne gravity gradient measurements application to do a brief introduction)

计算方法《牛顿差值》(calculation method, "Newton margin")

用于abaqus二次开发材料VUMAT，为初级学者找到更简单的方法(Materials for ABAQUS secondary development)

Generic templates of algorithms for sparse matrixs

说明：  fluent 二次开发，udf编程参考，c语言编程(Fluent udf coding c language multiphase flow)

考虑果蝇算法的缺陷，提出了基于混沌算法的果蝇算法，这是代码。(Code of Fruit fly algorithm based on Chaos Algorithm)

线阵天线方向图的画法 可改参量 实现不同参量下的方向图(The Drawing of Line Antenna Pattern)

三次样条插值函数实现 运行后画出曲线图，并得到插值函数表达式。(spline3)

关于simple算法，希望站长能够让小弟加入这个学习的行列。(on simple algorithms, hoping to let the younger station to join the ranks of the study.)