List questions from quadratic-programming

Published on 21 Jan 2014 - 11:23

4.2k

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Linear programming with one quadratic equality constraint

Published on 25 Mar 2026 - 5:59

8.3k

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Quadratic function must be positive definite to have a unique minimum

Published on 01 Feb 2014 - 21:00

370

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Reference table of "tricks" for converting problems to standard LP, QP, SOCP, etc. form?

Published on 23 Feb 2026 - 6:57

676

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Quadratic program over box constraints

Published on 06 Mar 2014 - 12:42

299

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Solving many quadratic programs with the same objective matrix

Published on 09 Apr 2017 - 16:25

176

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Formulating optimization problems in standard quadratic form

Published on 11 Apr 2017 - 10:24

29

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Given $f(x)=x^3$, prove if f is convex then any point $\bar{x}$ that satisfies $∇f(\bar{x})'\bar{x} = 0$ is a global minimum

Published on 20 Apr 2017 - 0:51

161

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Minimizing sum of absolute values

Published on 20 Apr 2017 - 16:57

50

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How to deal with the quadratic programming in practice when there is no minimal value

Published on 21 Apr 2017 - 10:03

1.7k

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The weighted least-norm problem

Published on 23 Apr 2017 - 14:07

49

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Showing $\bar{S}$ is a convex set if $\forall \bar{x} \in \bar{S}$, $f(x) \geq f(\bar{x})$ where S is closed convex and f is smooth convex

Published on 23 Apr 2017 - 21:15

230

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Casting Kalman filter recursion as an SDP

Published on 25 Mar 2026 - 23:35

573

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Minimize $\frac{1}{2}(x_1^2+x_2^2)$ subject to $x_1-2x_2+2\le 0$

Published on 24 Apr 2017 - 21:02

968

Views

Constrained quadratic programming with positive semidefinite matrix

Published on 28 Mar 2026 - 17:05

List Question

Uniqueness of the solution to a quadratic opt problem

Linear programming with one quadratic equality constraint

Quadratic function must be positive definite to have a unique minimum

Reference table of "tricks" for converting problems to standard LP, QP, SOCP, etc. form?

Quadratic program over box constraints

Solving many quadratic programs with the same objective matrix

Formulating optimization problems in standard quadratic form

Given $f(x)=x^3$, prove if f is convex then any point $\bar{x}$ that satisfies $∇f(\bar{x})'\bar{x} = 0$ is a global minimum

Minimizing sum of absolute values

How to deal with the quadratic programming in practice when there is no minimal value

The weighted least-norm problem

Showing $\bar{S}$ is a convex set if $\forall \bar{x} \in \bar{S}$, $f(x) \geq f(\bar{x})$ where S is closed convex and f is smooth convex

Casting Kalman filter recursion as an SDP

Minimize $\frac{1}{2}(x_1^2+x_2^2)$ subject to $x_1-2x_2+2\le 0$

Constrained quadratic programming with positive semidefinite matrix

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