List questions from convex-optimization

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Concerning the sequence of gradients in Nesterov's Accelerated Descent

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Intuitive answer needed for the condition on the sets to be convex

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Karush-Kuhn-Tucker in infinite horizon

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What exactly the Ellipsoid method does?

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Weak convergence under linear operators

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convexity of mutual information-like function

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Proof of a property on convex and $\beta$-smooth functions

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Proof on property of convex and $\beta$-smooth function - missing term?

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Gradient descent proof: justify $\left(\dfrac{\kappa - 1}{\kappa + 1}\right)^2 \leq \exp(-\dfrac{4t}{\kappa+1})$

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any local minimum of a convex function is a global minimum over a convex set

Published on 19 Jan 2018 - 15:00

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Using a Lagrange multiplier to handle an inequality constraint

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Deriving the gradient of the Augmented Lagrangian dual

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What is the purpose of an oracle in optimization?

Published on 20 Mar 2026 - 10:33

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Fenchel-Young Inequality first article

Published on 17 Mar 2026 - 3:55

List Question

Finding a mixture of 1st and 0'th order Markov models that is closest to an empirical distribution

Concerning the sequence of gradients in Nesterov's Accelerated Descent

Intuitive answer needed for the condition on the sets to be convex

Karush-Kuhn-Tucker in infinite horizon

What exactly the Ellipsoid method does?

Weak convergence under linear operators

convexity of mutual information-like function

Proof of a property on convex and $\beta$-smooth functions

Proof on property of convex and $\beta$-smooth function - missing term?

Gradient descent proof: justify $\left(\dfrac{\kappa - 1}{\kappa + 1}\right)^2 \leq \exp(-\dfrac{4t}{\kappa+1})$

any local minimum of a convex function is a global minimum over a convex set

Using a Lagrange multiplier to handle an inequality constraint

Deriving the gradient of the Augmented Lagrangian dual

What is the purpose of an oracle in optimization?

Fenchel-Young Inequality first article

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