fenpei

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)

说明：  本书是为理工科大学各专业普遍开设的“数值分析”课程编写的教材 . 其内容包括插值与逼近 ,数值微分与数值积分 , 非线性方程与线性方程组的数值解法 , 矩阵的特征值与特征向量计算 , 常微分方程数值解法 . 每章附有习题并在书末有部分答案 ,书末还附有计算实习题和并行算法简介 . 全书阐述严谨, 脉络分明 ,深入浅出 ,便于教学 .(This book is a textbook for the course of "numerical analysis" which is widely offered in various majors of universities of science and engineering. Its contents include interpolation and approximation, numerical differentiation and numerical integration, numerical solution of non-linear and linear equations, calculation of eigenvalues and eigenvectors of matrices, numerical solution of ordinary differential equations. At the end of the book, there are some answers. At the end of the book, there are also a brief introduction of computational practice questions and parallel algorithms. The whole book elaborates rigorously, clearly, thoroughly and shallowly, which is convenient for teaching.)

c语言程序编写在经验模态分解，包含三次样条(c language programming in the empirical mode decomposition, contains the cubic spline)

二维脊形光波导的FDTD仿真，能轻易修改波导尺寸和波导介质，，对硅等高折射率的波导求解正确(fdtd simulation of optical waveguide)

说明：  帮助你轻松实现零基础掌握lammps，实现分子动力学的各项功能(Help you easily achieve zero foundation master lammps)

实现求取雅克比矩阵的程序，对于学习数值分析的同学会很有用(Realize the procedures for Jacques than matrix )

基于多相结构的信道化接收机，一些自适应信号处理的算法，是小学期课程设计的题目。( Channelized receiver based on multi-phase structure, Some adaptive signal processing algorithms, Is the topic of the elementary school stage curriculum design.)

多目标跟踪的粒子滤波器，车牌识别定位程序的部分功能，最小均方误差等算法的MSE的计算。( Multi-target tracking particle filter, Part of the license plate recognition locator feature, Minimum mean square error MSE calculation algorithm.)

利用蚁群算法求解TSP问题， 从Location.dat文件输入每个城市的坐标。(The use of Ant Colony Algorithm for TSP problems Location.dat file input from the coordinates of each city.)

计算流体动力学中湍流模型的源程序，代码十分宝贵(Computational fluid dynamics model of the source of turbulence, the code is very valuable)