ZernikePolynomialsForTheWeb

采用递推最小二乘法在时域范围内辨识传递函数(Recursive least squares method identification in the time domain transfer function)

说明：  非线性振动教程，学习振动的学者们必须看的东西。(Nonlinear vibration tutorial, learning vibration scholars must look at things.)

based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse linear combination of all the training samples, and then classifies the testing sample by evaluating which class leads to the minimum representation error. While the importance of sparsity is much emphasized in SRC and many related works, the use of collaborative representation (CR) in SRC is ignored by most literature.

FFT变换，有硬件说明架构和框图，说明傅里叶变换的原理和意义，同时附有128点的傅里叶变换(FFT )

随机子空间算法实现 matlab函数 分两步求取 来源于网络(Stochastic Subspace Realization Algorithm Tohru Katayama, "Subspace Methods for System Identification", Springer)

说明：  二维光子晶体弯曲波导的fdtd程序,matlab语言 ,TE波, PML边界条件,平面波光源(Two-dimensional photonic crystal waveguide bend the FDTD program, matlab language, TE wave, PML boundary conditions, plane wave light source)

用ABAQUS及其子程序解决热冲压热力耦合问题(Subroutine with ABAQUS and hot stamping coupled thermal problem solving)

％ 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)

本程序是采用有限体积法求解二维对流扩散方程的经典程序。程序里包含各种离散方法，划分网格方法等。适合CFD初学者阅读。(The program is two-dimensional finite volume method for solving convection-diffusion equation of the classic program. Program includes a variety of discrete methods, meshing methods. CFD for beginners)

非线性微分方程的人工免疫网络数学模型，适合于高水平研究者(Nonlinear differential equation mathematical model of artificial immune network, suitable for high-level researchers)