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电磁力Lecture presented in Quality Improvement Program (QIP’08) at Indian Institute of Technology Guwahati Introduction to Magnetic Bearings
电磁力Lecture presented in Quality Improvement Program (QIP’08) at Indian Institute of Technology Guwahati Introduction to Magnetic Bearings
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Numerical Techniques in Electromagnetics, Second Edition 电磁学数值技术,fortran语言 As the availability of powerful computer resources has grown over the last three decades, the art of computation of electromagnetic (EM) problems has also grown - exponentially. Despite this dramatic growth, however, the EM community lacked a comprehensive text on the computational techniques used to solve EM problems. The first edition of Numerical Techniques in Electromagnetics filled that gap and became the reference of choice for thousands of engineers, researchers, and students. The Second Edition of this bestselling text reflects the continuing increase in awareness and use of numerical techniques and incorporates advances and refinements made in recent years. Most notable among these are the improvements made to the standard algorithm for the finite difference time domain (FDTD) method and treatment of absorbing boundary conditions in FDTD, finite element, and transmission-line-matrix methods. The author also added a chapter on the method of lines. Numerical Techniques in Electromagnetics continues to teach readers how to pose, numerically analyze, and solve EM problems, give them the ability to expand their problem-solving skills using a variety of methods, and prepare them for research in electromagnetism. Now the Second Edition goes even further toward providing a comprehensive resource that addresses all of the most useful computation methods for EM problems.
Python for Informatics python代码 hours=raw_input("Hello give me the Hours ") rate=raw_input("give me the Rate ") try: h=int(hours) #i am a commant r=int(rate) except: print "error " quit() def PAY(h,r): if hours <=40 : Pay = h*r else : Pay = r*40+(r*1.5*(h-40)) return Pay print "the Pay is ",PAY(h,r)
讲解的PPT Python for Informatics • Keep it short. It is better for students to read 10 pages than not read 50 pages. • Be careful with vocabulary. I tried to minimize the jargon and define each term at first use. • Build gradually. To avoid trap doors, I took the most difficult topics and split them into a series of small steps. • Focus on programming, not the programming language. I included the minimum useful subset of Java and left out the rest.
This book provides a comprehensive discussion of numerical computing techniques with an emphasis on practical applications in the fields of civil, chemical, electrical, and mechanical engineering. It features two software libraries that implement the algorithms developed in the text - a MATLAB® toolbox, and an ANSI C library.
《MATLAB模拟的电磁学数值技术(第3版)》内容简介:计算电磁学界的专家只熟悉一种或很少几种技术,而很少专家熟悉所有主要计算电磁学技术。《MATLAB模拟的电磁学数值技术(第3版)》的目的就是想要填补这方面的空白。《MATLAB模拟的电磁学数值技术(第3版)》适合于大学高年级学生或研究生用。可以作为一学期或两学期的课程。《MATLAB模拟的电磁学数值技术(第3版)》对读者的主要要求是学MATLAB电磁学的课程,具有计算机高级编程语言的知识。由于书中所有的计算机代码是由MATLAB程序给出的,所以作者假设读者具备基本的MATLAB知识,虽然熟悉线性代数和数值分析是有用的,但不是必需的。
Applied numerical methods for engineers | R. J. Schilling and S. L. Harris, Applied Numerical | | Methods for Engineers Using Matlab and C, Brooks-Cole, | | 2000.