for语言编写的abaqus混凝土弹性本构

最优化的bfgs算法，是采用matlab编程(BFGS optimization algorithm, using matlab programming)

大地测量软件，可以计算大地水准面、重力异常、重力梯度等各种物理量(Geodesy software, coordinate transformation, geoid calculation)

高频地波雷达回波信号二维傅里叶变换仿真处理，通过该变换可以得到海上目标的速度和距离信息。(HF ground wave radar echo simulation of two-dimensional Fourier transform processing, the adoption of the sea can transform the speed and distance from goal information.)

内点法求解凸二次规划 COPL_QP是一个可用的凸二次规划实验的解。这个软件包试图解决线性约束凸二次规划。源代码用C语言编写，附带用户指南（postscript文件）和问题实例(Interior point method for solving convex quadratic programming)

对于给定某一线性时不变网络（不含受控源），根据网络属性及结构，通过编程实现自动生成其关联矩阵A和一个树。(Given a linear time-invariant network (excluding controlled source), according to the network properties and structure of the automatically generated by programming its associated matrix A and a tree.)

5个子函数，包括格拉布斯剔除异常值函数，牛顿插值法函数，拉格朗日插值法函数，希尔排序函数，莱以特准则剔除异常值函数，函数方便移植。(5 sub-functions, including functions Grubbs outliers removed, Newton interpolation function, Lagrange interpolation function, Hill sort function, Levin special criteria to exclude outliers, function to facilitate transplantation.)

说明：  带精英决策的多目标优化关键程序，希望对大家有用。(Key procedures of multiobjective optimization with elite decision)

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,能量熵的计算，sar图像去噪的几种新的方法。( Monte Carlo simulation method of calculating the American option price and basic description, Energy entropy calculation, Several new methods sar image denoising.)

基于TMS320LF2407的FFT算法的实现及应用(TMS320LF2407 of the FFT algorithm based on Implementation and Application of)

％ SSOR预处理的共轭梯度法求解方程Ax=b ％ 输入参数说明 ％ A 正定矩阵[n*n] ％ b 右边向量 ％ omega SSOR预处理参数(0--2) ％ Times 迭代次数 ％ errtol 给定误差终止条件 ％ ％输出参数 ％ NewX 方程Ax=b的x近似解 ％ avgerr 求解的当前平均绝对误差( SSOR preconditioning conjugate gradient method for solving equations Ax = b the input parameter descriptions A positive definite matrix [n* n] b right side vector omega SSOR preconditioning parameters (0- 2) Times iterations errtol termination of a given error condition NewX output parameter equation Ax = b of x approximate solution to solve the current avgerr average absolute error)