You can also set your preferences in Google Scholar to provide a link to the paper's citation in BibTex formatting. It isn't always 100% accurate, but it does save a lot of data entry time.
Another good QM book for those with a linear algebra background is A Modern Approach to Quantum Mechanics by Townsend.
In my undergrad physics program we were required to take a PDE class taught by the physics dept. The text we used was Partial Differential Equations with Fourier Series and Boundary Value Problems by Nakhle H. Asmar. It has been a good reference book and the second half of the book focuses on applications of PDEs. For example, there is a section on elastic vibrations and buckling of beams, and there is an entire chapter discussing the PDEs used in quantum mechanics.
Yes! Programming should definitely be a part of every physicist's and engineer's undergraduate education. As a physics undergrad I learned Maple and MatLab. The last course that was required was all about numerical methods to solve differential equations. Most problems that physicists encounter are too hard/tedious to work through by hand. (You can usually guess which problems will be on the test just by asking yourself what is doable in 1 hour.) Having all the students learn basic programming allowed the professors to assign homework problems that were more in depth and we could explore topics in different ways. As an experimentalist, I rarely use my programming skills in my research, and I'm certainly not the world's greatest programmer. However, I do find value my programming training, and it's something I've found that I (usually) enjoy learning.
At my graduate institution, programming was not taught as part of the physics curriculum. I have been less frustrated doing homework than other students because I have not had to wrestle with learning a new program and solving a difficult problem at the same time. Also, I was taught good programming methods. Once I was able to solve a problem in 15 lines of code when it took my friend, who was self taught, about 1 1/2 pages of code. Needless to say, my solution was much easier to follow and understand what the program did.
As an instructor for a 400 level class, I get frustrated that my students are so uncomfortable using a computer to generate plots and such for their homework (even with Excel). The previous instructor for the class did the homework solutions in Excel. Yes, Excel can do the problem. But it takes me far less effort to do the problems in Maple/MatLab.
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You can also set your preferences in Google Scholar to provide a link to the paper's citation in BibTex formatting. It isn't always 100% accurate, but it does save a lot of data entry time.
Another good QM book for those with a linear algebra background is A Modern Approach to Quantum Mechanics by Townsend.
In my undergrad physics program we were required to take a PDE class taught by the physics dept. The text we used was Partial Differential Equations with Fourier Series and Boundary Value Problems by Nakhle H. Asmar. It has been a good reference book and the second half of the book focuses on applications of PDEs. For example, there is a section on elastic vibrations and buckling of beams, and there is an entire chapter discussing the PDEs used in quantum mechanics.
Yes! Programming should definitely be a part of every physicist's and engineer's undergraduate education. As a physics undergrad I learned Maple and MatLab. The last course that was required was all about numerical methods to solve differential equations. Most problems that physicists encounter are too hard/tedious to work through by hand. (You can usually guess which problems will be on the test just by asking yourself what is doable in 1 hour.) Having all the students learn basic programming allowed the professors to assign homework problems that were more in depth and we could explore topics in different ways. As an experimentalist, I rarely use my programming skills in my research, and I'm certainly not the world's greatest programmer. However, I do find value my programming training, and it's something I've found that I (usually) enjoy learning. At my graduate institution, programming was not taught as part of the physics curriculum. I have been less frustrated doing homework than other students because I have not had to wrestle with learning a new program and solving a difficult problem at the same time. Also, I was taught good programming methods. Once I was able to solve a problem in 15 lines of code when it took my friend, who was self taught, about 1 1/2 pages of code. Needless to say, my solution was much easier to follow and understand what the program did. As an instructor for a 400 level class, I get frustrated that my students are so uncomfortable using a computer to generate plots and such for their homework (even with Excel). The previous instructor for the class did the homework solutions in Excel. Yes, Excel can do the problem. But it takes me far less effort to do the problems in Maple/MatLab.