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 Aug 14 accepted Derivative of the squared $L^2$ norm of a vector function Aug 14 comment Derivative of the squared $L^2$ norm of a vector function If I wanted $\frac{\partial}{\partial w_i}$ where $w_i$ is an element of $w$ does that make it clearer? I'm confused about the result being an operator. Aug 14 comment Derivative of the squared $L^2$ norm of a vector function This looks promising but I'm a little confused by the terminology. By $\langle -,w\rangle$ do you mean the inner product of $w$ with something unknown? I guess I'm still confused as to how the two partial results tie together in your terminology. Aug 12 asked Derivative of the squared $L^2$ norm of a vector function Aug 9 awarded Critic Aug 8 revised What's the best way to optimize this energy function, and is it convex? added 109 characters in body Aug 8 comment What's the best way to optimize this energy function, and is it convex? The answer is useful in that the author provides information about the L1 approach, but I see what you mean about the non-convexity. Aug 8 answered how to check an optimization function is convex or not Aug 8 revised What's the best way to optimize this energy function, and is it convex? added 25 characters in body Aug 8 asked What's the best way to optimize this energy function, and is it convex? Mar 15 comment Finding a good difficult example function to minimize Shame you didn't put those in an answer. Great pointer! Mar 15 accepted Finding a good difficult example function to minimize Mar 15 comment Finding a good difficult example function to minimize Ooh thats pretty good... Mar 15 asked Finding a good difficult example function to minimize Mar 3 comment What is the intuitive relationship between SVD and PCA This was a little confusing in that normally the data matrix has n rows of samples of data with d dimensions along columns, like a least squares design matrix. If that is true then the covariance is $X^TX$, and the SVD result is $V\Sigma V^T$. I was also confused by the lack of normalization initially. But altogether a pretty clear explanation. Sep 24 awarded Autobiographer Jul 5 asked Linear Probability Density Transformations Jun 22 awarded Tumbleweed Jun 20 awarded Excavator Jun 20 revised How to determine the step response using convolution of the signal's impulse response? fixed math formatting