
optimization - When is LICQ useful in KKT conditions?
Dec 11, 2018 · It's possible for a convex optimization problem to have an optimal solution but no KKT points. Constraint qualifications such as Slater's condition, LICQ, MFCQ, etc. are necessary to ensure that an optimal solution will satisfy the KKT conditions. For example, consider the problem $\min x_{2}$ subject to $(x_{1}-1)^{2}+x_{2}^{2} \leq 1$
Why is LICQ automatically satisfied in Linear Optimization …
Jun 7, 2020 · The Linear Independence Constraint Qualification is NOT always satisfied in linear optimization problems, in particular when the gradients (rows of coefficients) of the active constraints are not independent.
optimization - Constraint qualification for linear constraints ...
Dec 14, 2020 · There are other constraint qualifications besides LICQ that you might use that could be much easier to establish. For example, you could use linear programming to determine whether Slater's constraint qualification was satisfied.
optimization - Why does linear independence constraint …
Aug 25, 2022 · The linearly independent constraint qualification (LICQ) is said to hold at a point when the gradients of all the binding constraint functions at the point are linearly independent. My understanding is LICQ guarantees the Karush Kuhn Tucker (KKT) conditions are met at …
When do constraint qualifications imply strong duality?
May 10, 2017 · LICQ and a some nitty-gritty questions I've been looking into linearly independent constraint qualification (LICQ) to to offer some additional regularity. For convex problems, LICQ ensures that
Prove the point is local minimizer given that KKT and LICQ are …
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Linear independence of equality constraint gradients in constraint ...
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What if LICQ does not hold? - Mathematics Stack Exchange
Sep 7, 2018 · LICQ is not a necessary condition for optimality. It is a prerequisite that the KKT conditions are necessary for optimality. You might check other constraint qualifications (MFCQ, linearity, convexity + Slater point, etc).
optimization - Do we really need the constraint qualification ...
Jul 2, 2015 · Do we really need the LICQ for a first-order necessary optimality condition? What's wrong with the following conclusion from the set of implications that I collected (all references taken from the book given above)?
How to solve a Karush-Kuhn-Tucker example
Aug 27, 2021 · However the linear independence constraint qualification (LICQ) fails everywhere, so in principle the KKT approach cannot be used directly. I have seen multiple examples solved like this, and I don't understand why this is legitimate. It seems to me that the correct approach would be to reason as follows: