List questions from non-convex-optimization

Published on 12 Mar 2021 - 15:29

257

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Solving a non-convex quadratically constrained quadratic program (QCQP)

Published on 25 Mar 2026 - 20:41

46

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linearize non differentiable function IP programming

Published on 27 Mar 2026 - 12:00

118

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Gradient descent algorithm not terminating

Published on 04 Apr 2021 - 16:28

159

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Why is "over-parameterized linear regression" non-convex?

Published on 26 Mar 2026 - 16:57

21

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Bezier curve based objective function

Published on 28 Mar 2026 - 8:47

121

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Is there any robust method for finding stationary points of a nonlinear, non-convex function of several variables?

Published on 15 Apr 2021 - 19:05

154

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Why is the matrix completion objective non-convex?

Published on 25 Mar 2026 - 17:36

340

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How to implement Newton's method for optimization in a reliable way.

Published on 18 Apr 2021 - 14:46

42

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Proof that every global minima is also a bistable point

Published on 19 Apr 2021 - 4:24

146

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An approach to handle an orthogonal projection onto a nonconvex set

Published on 27 Apr 2021 - 11:02

195

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Problem formulation in CVX toolbox in Python

Published on 22 Mar 2026 - 14:11

57

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Maximizing $\|Ax\|$ subject to $\|x\|=\sqrt{n}$, and $|x_i|=1,\forall i$

Published on 11 May 2021 - 2:17

26

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How to approach this quadratic optimization problem: $\operatorname{diag}(x_1,x_2,\dots,x_m)\cdot C\cdot\operatorname{diag}(y_1,y_2,\dots,y_n)$?

Published on 19 May 2021 - 13:52

1k

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Convergence of Sequential Quadratic Programming (SQP)

Published on 22 May 2021 - 5:55

List Question

How to convexify a nonconvex function?

Solving a non-convex quadratically constrained quadratic program (QCQP)

linearize non differentiable function IP programming

Gradient descent algorithm not terminating

Why is "over-parameterized linear regression" non-convex?

Bezier curve based objective function

Is there any robust method for finding stationary points of a nonlinear, non-convex function of several variables?

Why is the matrix completion objective non-convex?

How to implement Newton's method for optimization in a reliable way.

Proof that every global minima is also a bistable point

An approach to handle an orthogonal projection onto a nonconvex set

Problem formulation in CVX toolbox in Python

Maximizing $\|Ax\|$ subject to $\|x\|=\sqrt{n}$, and $|x_i|=1,\forall i$

How to approach this quadratic optimization problem: $\operatorname{diag}(x_1,x_2,\dots,x_m)\cdot C\cdot\operatorname{diag}(y_1,y_2,\dots,y_n)$?

Convergence of Sequential Quadratic Programming (SQP)

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