List questions from numerical-optimization

Published on 27 Mar 2026 - 3:49

26

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Minimize an N-dimensional vector dot product with <N constraints

Published on 01 Feb 2024 - 18:30

34

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what are the generic methods to prove solution existence!?

Published on 28 Mar 2026 - 10:35

28

Views

Nocedal 3.25. Calculate $\frac{\partial \phi}{\partial \alpha}$ where $\phi(\alpha) = f(x - \alpha \nabla f)$ and $f(x) = \frac{1}{2} x^T Qx - b^T x$

Published on 19 Feb 2024 - 3:41

28

Views

Computing gradient over all examples in Gradient Descent

Published on 23 Feb 2024 - 10:09

56

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How to transform this expression to a numerically stable form?

Published on 26 Mar 2026 - 12:33

50

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Positive-semidefinite-constrained nuclear-norm-regularized optimization problem

Published on 02 Mar 2024 - 4:28

15

Views

Maximum number of local minima in k-means

Published on 04 Mar 2026 - 19:33

73

Views

Does anyone have experience with this multidimensional optimization algorithm

Published on 04 Mar 2024 - 20:36

30

Views

Why can I replace both sides of the interval in the bisection method for optimization?

Published on 05 Mar 2024 - 7:45

88

Views

Is it true that a function is $c$-strongly convex if $f - c\|x\|^2_p$ is convex for ANY norm $\|x\|_p$?

Published on 10 Mar 2024 - 8:22

26

Views

Show in terms of numerics for symmetric and positive definite matrix

Published on 30 Mar 2026 - 0:05

15

Views

Show that to reduce the initial error by the factor $\varepsilon$ at most many iteration steps are required

Published on 24 Feb 2026 - 15:27

11

Views

Gradient-based methods on quasi-convex problems?

Published on 28 Mar 2026 - 12:59

11

Views

Brachistochrone involving gravitational changes dependent on x

Published on 14 Mar 2024 - 13:02

List Question

Sensitivity of Newton's method initial vlaue

Minimize an N-dimensional vector dot product with <N constraints

what are the generic methods to prove solution existence!?

Nocedal 3.25. Calculate $\frac{\partial \phi}{\partial \alpha}$ where $\phi(\alpha) = f(x - \alpha \nabla f)$ and $f(x) = \frac{1}{2} x^T Qx - b^T x$

Computing gradient over all examples in Gradient Descent

How to transform this expression to a numerically stable form?

Positive-semidefinite-constrained nuclear-norm-regularized optimization problem

Maximum number of local minima in k-means

Does anyone have experience with this multidimensional optimization algorithm

Why can I replace both sides of the interval in the bisection method for optimization?

Is it true that a function is $c$-strongly convex if $f - c\|x\|^2_p$ is convex for ANY norm $\|x\|_p$?

Show in terms of numerics for symmetric and positive definite matrix

Show that to reduce the initial error by the factor $\varepsilon$ at most many iteration steps are required

Gradient-based methods on quasi-convex problems?

Brachistochrone involving gravitational changes dependent on x

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