New posts in Convex Optimization

Whether the following function is convex or not？

Does every real skew symmetric matrix map some non-zero vector with non-negative entries into a vector with non-negative entries?

Does gradient descent converge to a minimum-norm solution in least-squares problems?

The Sub Gradient and the Proximal Operator of the of $ {L}_{2, 1} $ Norm (Mixed Norm)

What is something (non-trivial) that can be done in Hilbert space but not Banach spaces for optimization problems?

Does it make sense to talk about minimization of an objective function over function spaces?

$k\sum v_i v_i^T-\big(\sum v_i\big)\big(\sum v_i^T\big)\succeq 0$

How to Solve Linear Least Squares with Matrix Inequality Constraint

Why is the conjugate of a function always convex?

Prove Neg. Log Likelihood for Gaussian distribution is convex in mean and variance.