GradCalc

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)

说明：  利用GA遗传算法解决欺骗函数最优问题，具体问题描述如下，如有问题请与我联系(The deceptive functions are a family of functions in which there exists low-order building blocks that do not combine to form the higher-order building blocks. Here, a deceptive problem that consists of 25 copies of the order-4 fully deceptive function DF2 is constructed for this paper. DF2 can be described as follows: f(0000)=28 f(0001)=26 f(0010)=24 f(0011)=18 f(0100)=22 f(0101)=6 f(0110)=14 f(0111)=0 f(1000)=20 f(1001)=12 f(1010)=10 f(1011)=2 f(1100)=8 f(1101)=4 f(1110)=6 f(1111)=30 This problem has a maximal function value of 750.)

Evesen开发的洛伦兹模型耦合集合卡尔曼滤波算法(Lorenz model coupled with ensembled Kalman Filter)

正确率可以达到98％，抑制载波型差分相位调制，数据包传送源码程序。( Accuracy can reach 98 , Suppressed carrier type differential phase modulation, Data packet transfer source program.)

fluent 软件动网格计算的CAS文件和二次开发程序。用来计算一个蜜蜂翅膀摆动时周围流畅的变化。(fluent moving grid computing, software, documents and secondary development of CAS procedures. Used to calculate the wings of a bee when swinging around the smooth changes.)

和大家分享一个全相位FFT，matlab程序，程序中全相位fft实现方法有两种，注释掉的根据原理推到得来，自己看吧。(And share a full-phase FFT, matlab program, the program fft implementation in all phase two, comment out the basis of the principle pushed to come, see for yourself.)

计算改进型SVSLMS算法，在初始收敛速度，时变系统分析能力等方面优于传统的LMS算法(Improved SVSLMS calculation algorithm, the initial convergence rate, time-varying systems analysis capability is superior to the traditional LMS algorithm)

针对随机结构随机激励下的动力响应概率分布求解，基于广义概率密度方法(the calculation of the generalized probability density function)

数据归一化处理，对数据进行一个标准化处理，将各个不同单位的变量，转换成无量纲的量(Data normalization, a standardization of data processing, will be different units of variables, into dimensionless quantities)

移动最小二乘曲线拟合原理，论文中分析了一维和二维的例子，并且同最小二乘法进行比较。(Moving least squares curve fitting principle, the paper analyzes the one-dimensional and two-dimensional case, and compared with the least squares method.)