user-subroutines-l4-usdfld

有限元方法fortran编程，包括二维三维线性非线性静态分析、稳定流瞬时流分析、振动问题、特征值问题、并行计算等。包含了所有子程序。(Finite element method fortran programming, including 2D and 3D linear and nonlinear static analysis, steady flow transient flow analysis, vibration problems, eigenvalue problems, parallel computing. Contains all subroutines.)

最佳平方逼近数值分析算法程序，matalab编程运算(numerical analysis of best square approximation)

ANSYS 分析一座预应力连续刚构桥的命令流，很实用哦(ANSYS analysis of a prestressed continuous rigid frame bridge command stream, and very practical!)

C++ SGP4 Satellite Library

本程序用于磁场积分方程求解圆柱的电磁散射问题。(This procedure for the cylindrical magnetic field integral equations of electromagnetic scattering problems.)

Orthogonal Polynomials Approximation 数值分析，计算正交基多项式的系数 (Given a function f and a set of m >0 distinct points . You are supposed to write a function to approximate f by an orthogonal polynomial using the exact function values at the given m points with a weight assigned to each point . The total error must be no larger than a given tolerance. Format of function int OPA( double (*f)(double t), int m, double x[], double w[], double c[], double*eps ) where the function pointer double (*f)(double t) defines the function f int m is the number of points double x[] contains points double w[] contains the values of a weight function at the given points x[] double c[] contains the coefficients of the approximation polynomial double*eps is passed into the function as the tolerance for the error, and is supposed to be returned as the value of error. The function OPA is supposed to return the degree of the approximation polynomial. Note: a constant Max_n is defined so that if the total error is still not small enough when n = Ma)

石墨烯量子态密度计算，采用紧束缚近似以及薛定谔方程，计算态密度(Graphene quantum state density calculated using the tight-binding approximation and the Schrodinger equation to calculate the density of states)

zero shift fitering to be used in offline system identification

说明：  LM算法的c语言实现 拟合的函数为gauss函数(Levenberg-Marquardt Method)

说明：  用卡尔曼滤波方法对圆周运动进行预测的算法实现(Kalman filtering method using circular motion algorithm to predict)