# Hessian Matrix\Max Min Analysis, Eigenvalues etc

In my calc 3 class, we've taken an alternative(?) route to learning maxes and mins of multivariable equations. By using a Hessian Matrix, we're supposed to be able to find the eigenvalues of a function at the point, and determine whether the point is a max, min, saddle point, or indeterminant. Also, using these eigan values, a new axis system is formed. I can only vaguely understand most of what the teacher has explained (thick middle-eastern accent), and I have until Thursday to fully understand everything. Our book does not cover the matrix ways of doing things.

Does anyone have any useful links on hessian matrices? I have looked, but they all seem to go deeper into matrix things or use notation that I'm not familiar with.

Any books I should try to find (textbooks or otherwise)? Everybody got a D on the first quiz, and I'm not looking forward to that happening again on the test. Thanks for any information, links, or explanations that you can provide.

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