Hi,
I want to begin learning Calculus of Variations. What texts would MathOverflow recommend? Amazon shows up quite a few options:
I work on Machine Learning, and that where I intend to apply this.
Thanks!
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Hi, I want to begin learning Calculus of Variations. What texts would MathOverflow recommend? Amazon shows up quite a few options: I work on Machine Learning, and that where I intend to apply this. Thanks! |
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I would personally recommend Gelfand and Fomin's "Calculus of variations". It has many advantages:
Overall, I think this is a good book to have anyways, you'll always want to have a look there even if you get a book that is concerned more directly with applications (although as I said, they already keep an eye on what those ideas are useful for outside pure math) |
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Bruce van Brunt's The Calculus of Variations. |
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Chris Bishop's book "Pattern Recognition and Machine Learning" has some stuff on applying variational methods to machine learning. You might have a look at that and follow his references. Also, to me, "A Primer on the Calculus of Variations and Optimal Control Theory" by Mike Mesterton-Gibbons looks nice. You can get a sample of it (table of contents, the first few pages) at http://www.ams.org/bookstore-getitem/item=STML-50 |
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Like most people above, I am not really sure what you are doing with this information. However, after you have looked at the continuous case, you might consider looking at the discrete calculus of variations. [1] (listed below) has a very nice chapter (chapter 8) on the discrete calculus of variations. [1] Kelley, W. & Peterson, A. (2001). Difference Equations: An Introduction with Applications (2nd Ed.). San Diego, CA: Academic Press. |
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Thank you everyone for your recommendations and suggestions. As pointed out by some I was, perhaps, not very specific about my needs. I am working with ML and my need to understand the Calculus of Variations came up when I began looking at LDA (www.cs.princeton.edu/~blei/papers/BleiNgJordan2003.pdf). @PeterR - I own a copy of Bishop, but I needed something more comprehensive in way of being introduced to this subject. I feel the coverage of the topic in the book is highly tailored towards its applications in it. I would like to be in a position apply it on my own models sometime in the near future - so I want to build a good foundation for now. Your other suggestion seems promising from a cursory look - Thanks! @Deane Yang - "I know of very few places where the ideas or techniques of calculus of variations are used beyond the calculation of the first and second variations of the functional being optimized" --- I pretty much suspect the same from what I have seen so far :) @sfilip - I have begun looking at Gelfland and Fomin and it does look promising. Thanks! And again, thanks a lot everyone for your suggestions! |
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