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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