PFCwithaveragecurrentcontrol

移动质量下的车桥耦合,可以改变参数，实现不同情况。(The quality of the mobile vehicle bridge coupling)

说明：  书籍 Design and Fabrication of Diffractive Optical Elements with MATLAB里面提到的所有案例的Matlab源代码，本资源不包含该书，本人有该书，但各位也可以通过豆丁文档找到该书的网络版(Design and Fabrication of Diffractive Optical Elements with MATLAB's matlab code,for you referance)

算法图解中文版全文，实例丰富，图文并茂，以简明易懂的方式阐明了算法(Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer.)

有限元编程的源程序及教材，及一些相关资料。(Book and the Source of Programming the Finite Element Method )

我最近在研究frft-分数阶傅里叶变换的数值计算问题，主要是Ozaktas提出的采样型算法，以及Pei 等提出的采样型算法。(I have recently studied the numerical computation of frft- fractional Fourier transform, mainly the sampling algorithm proposed by Ozaktas, and the sampling algorithm proposed by Pei.)

说明：  利用粒子滤波进行锂离子电池的循环寿命预测(Cycle life prediction of Li-ion battery by particle filter)

its a verilog code for microcoded tb

说明：  计算传热学的近代进展，书籍附录的源码。包括非结构网格生成和求解。(Fortran code for the book of Tao。)

说明：  利用ANSYS APDL实现稳态热分析和热应力耦合(Steady state thermal analysis and thermal stress coupling can be realized by using ANSYS APDL)

说明：  精通MATLAB最优化计算 配套光盘 本书的主要内容是应用MATLAB来解决最优化问题，通过将“最优化问题”、“MATLAB优化工具箱”和“MATLAB编程”这三方面有机结合进行讲述，即一方面是使用工具箱来快速解决最优化问题，另一方面是通过算法编程深入解决最优化问题。主要包括MATLAB优化工具箱、无约束多维极值问题、约束优化问题、非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化算法、遗传算法。 (The main contents of the book is the application of MATLAB to solve the optimization problem, by &quot optimization problem&quot , &quot MATLAB Optimization Toolbox&quot and &quot MATLAB Programming&quot combination of these three were about, that one is using the kit to quickly solve the optimization problem, on the other hand, through in-depth programming algorithm to solve the optimization problem. Including MATLAB optimization toolbox, unconstrained multi-dimensional extremum problems, constrained optimization, nonlinear least squares optimization problem, linear programming, integer programming, quadratic programming, particle swarm optimization, genetic algorithm.)