List questions from convex-optimization

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Optimization under constraints - unique solution or not

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Matrix least-squares problem with lower triangular matrix constraint

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Unbounded Values in Lagrangian Relaxation

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What is a simple upper bound for $\exp\left(-\frac{1}{2}(x-(2\log(1/\delta)^{1/2}))^2\right)$ given $x \ge0$ and $\delta \in (0, 1)$?

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Undefined values in subgradient optimization

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Relative Interior of the relative interior of a convex set

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Uniqueness of the maximum of a multi-dimensional function

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Equivalence of two optimization problem？

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Why Is the Proximal Operator Well Defined?

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Is it always true that $f=g+h$ is not convex when $g$ is convex and $h$ is neither convex or concave?

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Caracterization of strongly convex

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Dual problem of unconstrained linear least squares

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Optimization with box constraints

Published on 12 Aug 2018 - 20:47

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Show that the set of global minimizers of $f$ is a convex set. If there can be only one global minimizer, how?

Published on 12 Aug 2018 - 22:26

List Question

Characterization of the convex hull in terms of dot product

Optimization under constraints - unique solution or not

Matrix least-squares problem with lower triangular matrix constraint

Unbounded Values in Lagrangian Relaxation

What is a simple upper bound for $\exp\left(-\frac{1}{2}(x-(2\log(1/\delta)^{1/2}))^2\right)$ given $x \ge0$ and $\delta \in (0, 1)$?

Undefined values in subgradient optimization

Relative Interior of the relative interior of a convex set

Uniqueness of the maximum of a multi-dimensional function

Equivalence of two optimization problem？

Why Is the Proximal Operator Well Defined?

Is it always true that $f=g+h$ is not convex when $g$ is convex and $h$ is neither convex or concave?

Caracterization of strongly convex

Dual problem of unconstrained linear least squares

Optimization with box constraints

Show that the set of global minimizers of $f$ is a convex set. If there can be only one global minimizer, how?

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