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3h
answered How to access the world's specialised knowledge?
1d
comment Strongly convex set is contractible
Out of curiosity, what book is this from?
1d
answered Mathematics for Guidance, navigation and control
2d
awarded  Revival
2d
comment Finding the equations of the tangents to a curve defined by a parametric equation
@wythagoras That's true. I tend to interpret "urgent" to mean "I'm in the middle of an exam", but maybe I should be a bit more generous.
2d
comment Finding the equations of the tangents to a curve defined by a parametric equation
@wythagoras But if you tell them that, it becomes harder to weed these questions out.
2d
answered L1 regularized unconstrained optimization problem
May
1
revised Is there an efficient way to evaluate the proximal operator of $f(x) = \|x\|_2 + I_{\geq 0}(x)$?
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May
1
answered Is there an efficient way to evaluate the proximal operator of $f(x) = \|x\|_2 + I_{\geq 0}(x)$?
Apr
30
comment A very detailed book for calculus 1-3.
A very standard textbook is Stewart's Calculus. I don't necessarily recommend it, but you should at least be aware of it.
Apr
29
comment Minimizing convex functions without compatible gradients
So $n$ is not restricted to be an integer? That's unusual notation, it might be more clear to call it $x$.
Apr
27
awarded  Nice Answer
Apr
27
revised How to prove Lagrange multiplier theorem in a rigorous but intuitive way?
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Apr
27
comment How to prove Lagrange multiplier theorem in a rigorous but intuitive way?
Yes, and it's a beautiful story that's rarely told. We replace the four subspace theorem with Farkas' lemma (the four cone theorem). I added notes about this.
Apr
27
revised How to prove Lagrange multiplier theorem in a rigorous but intuitive way?
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Apr
27
answered How to prove Lagrange multiplier theorem in a rigorous but intuitive way?
Apr
27
answered Problem in understanding the concept of differentiation.
Apr
25
comment Numerical stability of computational results
I should have clarified, my comment was only tangential to the question.
Apr
25
comment Numerical stability of computational results
I think in practice Cramer's rule is never used. It's rare to use determinants also. If you want to numerically solve a linear system of equations, usually you use a method such as Gaussian elimination.
Apr
25
comment Convex optimization qualifying exam
It's better to submit these as separate questions and explain what you have tried for each question (and ideally write the question using Latex rather than linking to image).