链接

There are several resources. But it depends on what you actually want to learn...Let me explain:

First of all, There are many Numerical Modeling Techniques in Electromagnetic, and people are always confused about which one to choose. But if you are not able to decide, then best thing is to start with any of them (I am not talking about conventional theoretical approaches which cannot be done theoretically for bigger problem spaces). All numerical techniques can be used for all type of EM problems but major aspect is efficient solution, in terms of results and resources.

1. If you want to know about general idea about CEM, then its better you begin with Wikipedia itself, which has a great amount of details about numerical modeling in electromagnetics.

Computational electromagnetics

2. If you are not a beginner, then you might have already chosen, which numerical modeling you are interested in, like FDTD, FEM, MoM, FIT, etc.

If you have not chosen yet and want to decide which one to be considered for your numerical solutions of EM problems, then do not worry. Dr. Raymond Rumpf has created many lectures on CEM on youtube. So take a look at them.

If you want to go into full depth mathematical analysis then go through Dr. Cynthia Furse's videos on youtube.

I loved these two...I guess you may also like it at least. :)

3. If you have decided now, which numerical modeling you are interested in, then there are several books and videos available to learn each and every one of them.

There are many numerical modeling techniques, some of them you might have seen on Wikipedia itself.

But it depends on the EM problem, which decides choice the efficient way of numerical solution and numerical modeling method. So once you have decided it  according to your EM problem then only start working on specific numerical modeling.

I like mainly following Numerical Techniques:

I). Finite Difference Time Domain Method (FDTD)

There are youtube videos to understand it easily but I would rather prefer if you go through:

Prof. Kane Yee's fundamental paper (1966). This paper itself is more than sufficient to understand FDTD for EM problems.

http://ecee.colorado.edu/~mcleod...

And a paper by Prof. Taflove

http://www.ece.northwestern.edu/...

Trust me if you can understand these, it is more than sufficient to begin with FDTD. I started with these only. Then there are many papers by Prof. Allen Taflove, Prof. Karl S. Kunz and many others.

First good book on FDTD by Kunz  & Luebbers is like an epic for numerical scientists.

The Finite Difference Time Domain Method for Electromagnetics

Then there are many books by many professors, Prof. Taflove, Prof. Sadiku, Prof. Elsherbeni. You can just google them and search for free pdfs also. :) I will not put links here. :)

Even if you are interested in Videos only, then go through lecture series by Prof. C. Furse:

If you want to use commercially available Tools then:

i. FEKO -- https://www.feko.info/

ii. CST -- https://www.cst.com/

iii. FDTD Solutions -- Lumerical's Nanophotonic FDTD Simulation Software

Free FDTD codes and tools are

  • FDTD++: advanced, fully featured FDTD software, with included C++ source code, along with sophisticated material models and predefined fits as well as discussion/support forums and email support
  • openEMS (Fully 3D Cartesian & Cylindrical graded mesh EC-FDTD Solver, written in C++, using a Matlab/Octave-Interface)
  • pFDTD (3D C++ FDTD codes developed by Se-Heon Kim)
  • JFDTD (2D/3D C++ FDTD codes developed for nanophotonics by Jeffrey M. McMahon)
  • WOLFSIM (NCSU) (2-D)
  • Meep (MIT, 2D/3D/cylindrical parallel FDTD)
  • (Geo-) Radar FDTD
  • bigboy (unmaintained, no release files. must get source from cvs)
  • toyFDTD
  • Parallel (MPI&OpenMP) FDTD codes in C++ (developed by Zs. Szabó)
  • FDTD code in Fortran 90
  • FDTD code in C for 2D EM Wave simulation
  • Angora (3D parallel FDTD software package, maintained by Ilker R. Capoglu)
  • GSvit (3D FDTD solver with graphics card computing support, written in C, graphical user interface XSvit available)
  • gprMax (Open Source (GPLv3), 3D/2D FDTD modelling code in Python/Cython developed for GPR but can be used for general EM modelling.)

These are taken from Wikipedia...

II). Method of Moments (MoM)

This is also one of the oldest methods in electromagnetics for solving big problems.

There is one good book by Gibson: Search on google and first link... :)

https://www.google.de/url?sa=t&r...

I have read this book and its awesome...you need patience ... :)

There are many books with MATLAB coding of MoM. If you want to implement it with MATLAB, then Go Through:

Fundamentals of Electromagnetics with MATLAB, By Karl Erik Lonngren, Sava Vasilev Savov, Randy

Commercial Tools:

i. FEKO --https://www.feko.info/ --------Best available software for MoM

ii. NEC codes --Numerical Electromagnetics Code NEC2 unofficial home page

III). Finite Element Method (FEM)

For 2D solutions, to begin with, just go through:

http://deepblue.lib.umich.edu/bi...

There are many books on FEM for Electromagnetics, but I would rather prefer it for specific numerical problems only. Or maybe inside FEKO with hybridizing with MoM.

Commercial Tools:

i. FEKO --https://www.feko.info/ --------Best available software for MoM

ii. HFSS -- http://www.ansys.com/Products/Si...

IV). Finite Integration Technique (FIT)

It was proposed by Prof. Thomas Weiland. IT has basic papers written by Prof. Weiland. There is a commercially available tool company, which is founded by Prof. Weiland and his colleagues only, known as CST Studio Suite.

CST -- https://www.cst.com/

------------------------------------------------------------------------------

There are many enhancements in these numerical modeling techniques and hybridization with many other numerical techniques (MLFMM, PO, GO etc.) for specific applications. For more information use the Wikipedia page which I have posted first... :)

-----

I hope this is useful to someone... :)

怎么学习计算电磁学【QUORA】的更多相关文章

  1. Caffe深度学习计算框架

    Caffe | Deep Learning Framework是一个清晰而高效的深度学习框架,其作者是博士毕业于UC Berkeley的 Yangqing Jia,目前在Google工作.Caffe是 ...

  2. MXNET:深度学习计算-GPU

    mxnet的设备管理 MXNet 使用 context 来指定用来存储和计算的设备,例如可以是 CPU 或者 GPU.默认情况下,MXNet 会将数据创建在主内存,然后利用 CPU 来计算.在 MXN ...

  3. MXNET:深度学习计算-自定义层

    虽然 Gluon 提供了大量常用的层,但有时候我们依然希望自定义层.本节将介绍如何使用 NDArray 来自定义一个 Gluon 的层,从而以后可以被重复调用. 不含模型参数的自定义层 我们先介绍如何 ...

  4. MXNET:深度学习计算-模型参数

    我们将深入讲解模型参数的访问和初始化,以及如何在多个层之间共享同一份参数. 之前我们一直在使用默认的初始函数,net.initialize(). from mxnet import init, nd ...

  5. MXNET:深度学习计算-模型构建

    进入更深的层次:模型构造.参数访问.自定义层和使用 GPU. 模型构建 在多层感知机的实现中,我们首先构造 Sequential 实例,然后依次添加两个全连接层.其中第一层的输出大小为 256,即隐藏 ...

  6. python学习===计算字符串中子串出现的次数。

    if __name__ == '__main__': str1 = input('input a string: \n') str2 = input('input a sub string: \n') ...

  7. 【深度学习Deep Learning】资料大全

    最近在学深度学习相关的东西,在网上搜集到了一些不错的资料,现在汇总一下: Free Online Books  by Yoshua Bengio, Ian Goodfellow and Aaron C ...

  8. 机器学习(Machine Learning)&深度学习(Deep Learning)资料(Chapter 2)

    ##机器学习(Machine Learning)&深度学习(Deep Learning)资料(Chapter 2)---#####注:机器学习资料[篇目一](https://github.co ...

  9. [Computational Advertising] 计算广告学笔记之基础概念

    因为工作需要,最近一直在关注计算广告学的内容.作为一个新手,学习计算广告学还是建议先看一下刘鹏老师在师徒网的教程<计算广告学>. 有关刘鹏老师的个人介绍:刘鹏现任360商业产品首席架构师, ...

随机推荐

  1. 技巧题---Single boy

    Description Today is Christmas day. There are n single boys standing in a line. They are numbered fo ...

  2. Mysql denied for user 'odbc@localhost' || denied for user 'root@localhost'

    1. Question Description: 1.1  mysql  version:  mysql-5.7.11-win64.zip 1.2  if you connect to the mys ...

  3. mysql启动报错:Starting MySQL...The server quit without updating PID file

    在mysql的data目录下误删除了mysql-bin.000001,mysql-bin.000002等文件,但是没有删除mysql-bin.index文件,此时启动mysql就会报错: Starti ...

  4. js用8421码实现10进制转2进制

    今天早上突然心血来潮决定用 ''和js来撸一个进制转换.(纯属心血来潮,有兴趣的可以看看.) 我们知道,通过8421码.可以快速的得到一个10进制的2进制.如下图: 如上图所示:我们将10进制的 '1 ...

  5. 原创:SAP LVC ALV编辑小技巧

    前两天有个打印需求变更,需要在ALV显示列表中添加两个字段,可编辑,而我自己用的是函数:REUSE_ALV_GRID_DISPLAY_LVC 因为之前做可编辑基本都是固定套路,定义类,画屏幕.... ...

  6. iOS仿京东分类菜单之UICollectionView内容

    在上<iOS仿京东分类菜单实例实现>已经实现了大部分主体的功能,本文是针对右边集合列表进行修改扩展,使它达到分组的效果,本文涉及到的主要是UICollectionView的知识内容,左边列 ...

  7. UISlider常见属性

    常见属性 self.mySlider.minimumValue = 0.0;   // 最小值 self.mySlider.maximumValue = 10;    // 最大值 self.mySl ...

  8. JAVA基础学习day14--集合一

    一.集合的出现 1.1.集合简述 面向对象语言对事物的体现都是以对象形式,为了方便对多个对象的操作,就对象对象进行存储,集合就是存仪储对象最常用的一种试 1.2.数组和集合都是容器 数组也存对象,存储 ...

  9. CSS 类选择器(四)

    一.类选择器 类选择用使用"."(英文点号)进行标识,后面紧跟类名 如: .red{color:red;} 类样式可以应用于文档中的多个元素,这体现了CSS代码的可重用性,帮助用户 ...

  10. NSArray,NSMutableArray的三种排序

    int main(int argc, const char * argv[]) { @autoreleasepool { //字符串进行排序 NSArray *arr=@[@"b" ...