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unstable optimizer, stable objective

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#convex-optimization #numerical-optimization
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Lagrangian Multipliers

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#convex-optimization #nonlinear-optimization
545
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Positive values for a set of quadratic forms of Hermitian Matrices. (To find a set of vectors in which a hermitian matrix is positive definite)

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#linear-algebra #matrices #optimization #convex-optimization #nonlinear-optimization
505
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Convex Combination of Hermitian Matrices

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#linear-algebra #matrices #convex-analysis #convex-optimization
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Why does a positive definite matrix defines a convex cone?

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#linear-algebra #convex-optimization
299
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Matrix computations problem: rank, pseudo inverse,...

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#linear-algebra #matrices #convex-optimization
689
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What does the statement "Optimality condition for convex problem" mean? KKT or other condition?

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#convex-optimization #karush-kuhn-tucker
9.3k
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Prove $ax - x\log(x)$ is convex?

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#optimization #convex-optimization
4.9k
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Show that for convex objective and inequality constraints, and affine equality constraints, the KKT conditions are sufficient

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#optimization #convex-optimization #nonlinear-optimization
235
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property of cones and their duals

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#optimization #convex-optimization
60
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using the ellipsoid algorithm to find a poly time algorithm for the optimization problem

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#linear-programming #convex-optimization
175
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Finding an $O(n \log n)$ time algorithm for an optimization problem

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#linear-programming #convex-optimization
3.6k
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Linear Least Squares with Non Negativity Constraint

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#optimization #convex-optimization #least-squares #quadratic-programming #karush-kuhn-tucker
346
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Explain Complementary Slackness $\mu_i g_i(x^*)=0\forall i$

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#optimization #convex-optimization
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Please explain the intuition behind the dual problem in optimization.

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#optimization #convex-optimization #intuition #lagrange-multiplier #karush-kuhn-tucker

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