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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 $f(x) = \|x\|_2 + I_{\geq 0}(x)$? added 4 characters in body 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? deleted 1 character in body 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? added 4797 characters in body 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).