Recent content by thecage411

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    I Dot product constrained optimization

    That's fair -- I gave an argument at the end not using the lagrange multiplier. I guess my question is -- why aren't those two approaches matching up?
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    I Dot product constrained optimization

    Problem: Fix some vector ##\vec{a} \in R^n \setminus \vec{0}## and define ##f( \vec{x} ) = \vec{a} \cdot \vec{x}##. Give an expression for the maximum of ##f(\vec{x})## subject to ##||\vec{x}||_2 = 1##. My work: Seems like a lagrange multiplier problem. I have ##\mathcal{L}(\vec{x},\lambda)...
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