List questions from hessian-matrix

Published on 20 Jun 2017 - 9:10

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The Hessian matrix A may be Indefinite or what is known Positive Semidefinite or Negative Semidefinite

Published on 26 Mar 2026 - 6:29

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Show that the critical point of this function is a global minimum (geometric median)

Published on 02 Jul 2017 - 14:09

368

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On the Hessian of a quadratic function

Published on 05 Jul 2017 - 16:43

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Why is the approximation of Hessian$= J^TJ$ reasonable?

Published on 28 Mar 2026 - 2:04

208

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second derivative of function on SO(3)

Published on 09 Jul 2017 - 4:02

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Diagonal approximation of the inverse Hessian matrix

Published on 13 Jul 2017 - 9:32

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Easy way to determine matrix positive / negative definiteness

Published on 23 Jul 2017 - 19:36

751

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Hessian of Euclidean norm of vector function

Published on 31 Jul 2017 - 7:15

371

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About a Morse function on the euclidean $n$-sphere.

Published on 26 Mar 2026 - 17:43

54

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Trouble in finding equation with matrices

Published on 23 Aug 2017 - 20:53

232

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Question on directional derivative for vector-valued functions

Published on 27 Mar 2026 - 10:08

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Maxima, minima, and saddle points

Published on 03 Sep 2017 - 9:47

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The second derivative of $\log\left(\sum\limits_{i=1}^ne^{x_i}\right)$ seems negative, but I have to prove the function is convex

Published on 04 Sep 2017 - 20:00

37

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Apply Newton-Rhapson to this non-linear model

Published on 29 Mar 2026 - 14:18

List Question

Show that multivariate function is convex

The Hessian matrix A may be Indefinite or what is known Positive Semidefinite or Negative Semidefinite

Show that the critical point of this function is a global minimum (geometric median)

On the Hessian of a quadratic function

Why is the approximation of Hessian$= J^TJ$ reasonable?

second derivative of function on SO(3)

Diagonal approximation of the inverse Hessian matrix

Easy way to determine matrix positive / negative definiteness

Hessian of Euclidean norm of vector function

About a Morse function on the euclidean $n$-sphere.

Trouble in finding equation with matrices

Question on directional derivative for vector-valued functions

Maxima, minima, and saddle points

The second derivative of $\log\left(\sum\limits_{i=1}^ne^{x_i}\right)$ seems negative, but I have to prove the function is convex

Apply Newton-Rhapson to this non-linear model

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