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While I am working on some physical/mathematical problems, I feel strongly that these three areas are almost the identical thing, except that they have different methods/from different aspects to solve the problem.

For example, I remembered that wave equation can be derived from probability approach(maybe random walk and detailed balance. Excuse me I forget the book name.).

Based on that, some cell automatons can be used to solve PDE.

And an example for optimization problem and DE problems: it seems that Lagrange-Euler equation uses DE approach to model a optimization problem(minimize the action).

I have only undergraduate level mathematical/physical education(and almost all about engineering. I come from a Computer Science background actually). I want to self learn these three areas, and make use of powers of various areas to solve a problem.

Can you direct me to some books/papers on the relations between DE, Probability/Statistic, and Optimization?

Thank you.

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Various disciplines are intertwined. You can find many examples even connecting very different appearing branches of mathematics. As an example abstract algebra via Galois theory is used to solve geometry problems that puzzled the ancient Greeks. Whole new branches of mathematics were invented to eventually prove Fermat's Last Theorem from number theory. The question you ask is a little too broad. I can make numerous recommendations for books on probability, statistics and operations research. But to focus on your needs requires some description of the level and specific topics you want. – Michael Chernick Sep 13 '12 at 17:05

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