List questions from numerical-optimization

Published on 03 Nov 2019 - 21:24

69

Views

Constrained MLE over the set of distance matrices

Published on 26 Mar 2026 - 16:05

399

Views

What is the maximum of the fourth derivative?

Published on 12 Nov 2019 - 3:18

22

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Find $y \in \operatorname{conv}(\{x_{1}, x_{2}\})$, so that $z \in \operatorname{conv}(\{y, x_{3}\})$

Published on 13 Nov 2019 - 21:22

18

Views

How to create a penalty function in two dimensions for a profile curve?

Published on 15 Nov 2019 - 15:01

725

Views

Gradient Descent with constraints?

Published on 26 Mar 2026 - 22:12

77

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Which Constraints Should I Compare with First in Quadratic Optimization Problem?

Published on 26 Mar 2026 - 22:17

90

Views

linear optimization of multiplication coefficients

Published on 25 Mar 2026 - 14:21

21

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$\underset{y}{\text{maximize}} \; K \int_{y}^{\infty} f^{2}(x) dx - \int_{y}^{\infty} g^{2}(x) dx$

Published on 27 Mar 2026 - 10:10

97

Views

Convex Optimization Proof

Published on 20 Nov 2019 - 22:29

33

Views

Homotopy Maps (Continuation methods)

Published on 24 Nov 2019 - 15:25

2.3k

Views

Newton's Method vs Gradient Descent?

Published on 25 Mar 2026 - 23:35

111

Views

Formulation for IP of large OR statement which gives a good linear relaxation

Published on 27 Mar 2026 - 18:14

28

Views

Minimizing a function of 2 variables which are probabilities

Published on 28 Nov 2019 - 17:23

68

Views

Computational complexity of convex constrained quadratic problem?

Published on 29 Nov 2019 - 15:33

List Question

Meaning of affine invariance of Newton's method

Constrained MLE over the set of distance matrices

What is the maximum of the fourth derivative?

Find $y \in \operatorname{conv}(\{x_{1}, x_{2}\})$, so that $z \in \operatorname{conv}(\{y, x_{3}\})$

How to create a penalty function in two dimensions for a profile curve?

Gradient Descent with constraints?

Which Constraints Should I Compare with First in Quadratic Optimization Problem?

linear optimization of multiplication coefficients

$\underset{y}{\text{maximize}} \; K \int_{y}^{\infty} f^{2}(x) dx - \int_{y}^{\infty} g^{2}(x) dx$

Convex Optimization Proof

Homotopy Maps (Continuation methods)

Newton's Method vs Gradient Descent?

Formulation for IP of large OR statement which gives a good linear relaxation

Minimizing a function of 2 variables which are probabilities

Computational complexity of convex constrained quadratic problem?

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