非线性

说明：  三角网格以及矩形网格剖分. 实现等参单元以及误差L H 范数收敛阶估计.(Triangular meshes and rectangular meshes are subdivided to achieve convergence order estimation of error L H norm.)

用于弹塑性本构的切线刚度计算，基于塑性本构的增量理论编写(flow theory coupled with damage failure criteria of the program for the vumat ABAQUS program, functional simulation load to failure of the process of destruction)

在通訊系統中常見到的cordic，是個用很少複雜度就能實現三角函數的電路，檔案中有C語言的CORDIC程式(In the communication system common to cordic, is a little complex to use trigonometric functions will be able to realize the circuit, the file has C language program CORDIC)

统计学习的入门书，通俗易懂，号称是ESL的入门版，全书没有太多数学推导，适合学工程的人不适合学统计的人读(Introduction to statistical learning books, easy to understand, known as the entry version of ESL, the book does not have too many mathematical derivations, suitable for people who are not suitable for learning the project to read statistics.)

电磁计算用的快速多级子算法，欢迎大家下载交流(Fast multilevel sub algorithm for electromagnetic computation)

我们需要成百上千的分类器来解决现实世界的分类吗 我们评估179分类17种分类器（判别分析，贝叶斯，神经网络，支持向量机，决策树，基于规则的分类器，升压、装袋、堆放、随机森林和其他合奏，广义线性模型，线性，偏最小二乘法和主成分回归，logistic回归、多项式回归、多元自适应回归样条等方法），实现在WEKA，R（有或没有插入包），C和Matlab，包括所有目前可用的相关分类。(Do-we-Need-Hundreds-of-Classifiers-to-Solve-Real-World-ClassificationProblems)

模糊最小二乘支持向量机，用于剔除偏离较远的数据点，减小野值的影响(Fuzzy least squares support vector machine for the deviation from the data points far removed, to reduce the impact of outliers)

J2流动理论加上破坏失效判据的程序，用于ABAQUS中的vumat程序，功能模拟加载到失效破坏的过程(J2 flow theory coupled with damage failure criteria of the program for the vumat ABAQUS program, functional simulation load to failure of the process of destruction)

此函数通过两点的大地经纬度（Ja,Wa）和（Jb,Wb）计算两点间距离 Dis (this function through the 2:00 and Geodesy (Ja, Wa) and ( `, mg) calculated the distance between two points Dis)

用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,实现了图像的加水印，去噪，加噪声等功能，包括最小二乘法、SVM、神经网络、1_k近邻法。( Monte Carlo simulation method of calculating the American option price and basic description, Realize image watermarking, de-noising, plus noise and other functions, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.)