drucker-prager

用矩阵法求定积分1/(1+x^2)dx，区间是（-4，4）(Definite Integral Matrix Method)

说明：  最小二乘一次完成算法，C语言编写，源码，调试通过。(A complete least-squares algorithm, C language, source code, debugging through.)

滤波程序，从同事那里要的，大家一起交流学习(BADNELL & BURGESS D.A.M.T.P. CAMBRIDGE C C DIAGONALIZATION OF REAL SYMMETRIC N-BY-N MATRIX Z. C C METHOD: HOUSEHOLDER REDUCTION TO TRI-DIAGONAL FORM AND SHIFTED C QL ALGORITHM TO DETERMINE THE E-VALUES AND E-VECTORS. C C BASED ON MARTIN, REINSCH & WILKINSON: NUM. MATH. 11, 181-95 (1968). C C INPUT REQUIRED. N, IUP AND Z. ONLY LOWER TRIANGLE OF Z NEED BE SUPPLIED. C MATRIX Z OVERWRITTEN BY EIGENVECTORS OF Z. C IUP=1/-1 ASC/DESCENDING SORT, 0 NO SORT. C MXMAT, IS THE ROW DIMENSION OF Z IN THE CALLING ROUTINE. C C OUTPUT. Z AND D, WHERE Z CONSISTS OF COLUMN EIGENVECTORS C AND D CONSISTS OF CORRESPONDING EIGENVALUES. C C NOTE: E IS A WORKING ARRAY. C)

灰色预测模型，对未来数据进行预测，同时还有误差检测(GM(1,1),Grey prediction model, which can forecast future data and detect errors at the same time)

金属断裂的数值计算提供理论依据及实际详例解读(The numerical calculation of metal fracture provides theoretical basis and interpretation of practical examples)

比特交织编码中的迭代解映射算法简化 复杂度比原算法降低(Bit interleaved coded mapping algorithm in the iterative solution simplifies complex than the original algorithm reduces)

流体力学中有限体积法的求解程序，matlab代码-Finite volume method for solving procedures, matlab code(matlab code, -Finite, volume, method, for, solving, procedures, MATLAB, code)

说明：  并联机器人MARALAND,其数值解及解析解，正解和逆解以及雅可比矩阵及动力学问题分析(Parallel robot maraland, its numerical solution and analytical solution, positive solution and inverse solution, Jacobian matrix and dynamics analysis)

电网络理论程序 matlab 半动态及动态节点编号优化 NODE为节点关系表 无错误，低警告(Electrical network theory the program matlab semi-dynamic and dynamic node numbering optimization the NODE node relational tables error-free, low-warning)

说明：  一般的最小二乘通常是一次拿到全部的数据， 对所有数据进行统一优化计算得到模型系数。递推最小二乘是以一种递推的方式计算最小二乘，每次使用最新的测量值，来不断更新模型系数。(General least squares usually get all the data at one time, and perform unified optimization calculations on all the data to get the model coefficients. Recursive least squares is to calculate the least squares in a recursive way, each time the latest measured value is used to continuously update the model coefficients.)