List questions from hessian-matrix

Published on 22 Sep 2020 - 2:20

76

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Find a positive matrix near a non-negative matrix

Published on 23 Sep 2020 - 7:36

449

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Help in understanding properties of big O notation with norms of vectors

Published on 23 Sep 2020 - 21:24

951

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Gradient and Hessian of vector multiplication

Published on 29 Sep 2020 - 22:38

517

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Finding Lipschitz constant from Gradient and Hessian of log-sum-exp

Published on 01 Oct 2020 - 9:56

107

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Transversality and the hessian of critical ponint of a function

Published on 25 Mar 2026 - 19:04

757

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Find gradient and Hessian of $f(x,y):=\frac{1}{2} \|Ax-(b^Ty)y\|_2^2$

Published on 26 Mar 2026 - 4:14

50

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How to conclude that the following matrix is positive semidefinite or not?

Published on 05 Oct 2020 - 5:51

142

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Shared eigen vectors of Hessian

Published on 05 Oct 2020 - 19:52

136

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Classifying Critical Points using hessian

Published on 09 Oct 2020 - 0:00

54

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divided difference matrices are positive semidefinite?

Published on 29 Mar 2026 - 16:31

184

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Second derivative of Feed-forward neural network output.

Published on 28 Mar 2026 - 4:34

218

Views

Derivative of a function $f({\bf X})$ w.r.t. matrix ${\bf X}$ when ${\bf X}^\prime {\bf X}$ is a diagonal matrix

Published on 29 Oct 2020 - 2:06

182

Views

How to find a positive semidefinite matrix satisfying the following condition?

Published on 05 Nov 2020 - 15:20

170

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Is this Hessian matrix positive semidefinite?

Published on 29 Mar 2026 - 18:13

List Question

What is the hessian of l2 norm squared?

Find a positive matrix near a non-negative matrix

Help in understanding properties of big O notation with norms of vectors

Gradient and Hessian of vector multiplication

Finding Lipschitz constant from Gradient and Hessian of log-sum-exp

Transversality and the hessian of critical ponint of a function

Find gradient and Hessian of $f(x,y):=\frac{1}{2} \|Ax-(b^Ty)y\|_2^2$

How to conclude that the following matrix is positive semidefinite or not?

Shared eigen vectors of Hessian

Classifying Critical Points using hessian

divided difference matrices are positive semidefinite?

Second derivative of Feed-forward neural network output.

Derivative of a function $f({\bf X})$ w.r.t. matrix ${\bf X}$ when ${\bf X}^\prime {\bf X}$ is a diagonal matrix

How to find a positive semidefinite matrix satisfying the following condition?

Is this Hessian matrix positive semidefinite?

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