List questions from hessian-matrix

Published on 16 Oct 2019 - 13:11

48

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Possibility of positive definite matrix

Published on 16 Oct 2019 - 15:31

833

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Taking the gradient of function with linear transformation

Published on 16 Oct 2019 - 23:07

45

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Invertibility of Hessian of continious bounded mutlivariate function

Published on 17 Oct 2019 - 13:33

925

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Maximum Likelihood Estimation - Demonstration of equality between second derivative of log likelihood and product of first derivatives

Published on 23 Feb 2026 - 2:50

2.1k

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Convex functions lack saddle points?

Published on 21 Oct 2019 - 19:12

167

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Reverse of Second Order Derivatives in Hessian Matrix

Published on 24 Mar 2026 - 21:52

767

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Finding the critical points of $f(x,y)=(y-x^2)(y-2x^2)$

Published on 26 Oct 2019 - 22:12

44

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Prove that the point is a local maximum if Hessian is null

Published on 28 Oct 2019 - 18:16

711

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The Hessian of a Radial Basis Function

Published on 01 Nov 2019 - 11:34

50

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What does this formula ('matrix notation') mean?

Published on 06 Nov 2019 - 1:19

36

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Proving that there exists $c \in S$ such that $f(x) = f(a) + \nabla f(a)\cdot (x − a) + \frac{1}{2} H_{f}(c)(x − a)\cdot (x − a)$

Published on 07 Nov 2019 - 20:05

216

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Why does continuity of the Hessian matrix allow us to assume a point is an interior point in the following proof?

Published on 10 Nov 2019 - 5:44

1.4k

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How can I show if the eigenvalues of the Hessian is greater than $\alpha$, then the function is strongly convex?

Published on 18 Nov 2019 - 0:18

467

Views

Hessian squared and Laplacian on a Riemannian manifold

Published on 19 Nov 2019 - 2:14

List Question

How to check if a function is convex?

Possibility of positive definite matrix

Taking the gradient of function with linear transformation

Invertibility of Hessian of continious bounded mutlivariate function

Maximum Likelihood Estimation - Demonstration of equality between second derivative of log likelihood and product of first derivatives

Convex functions lack saddle points?

Reverse of Second Order Derivatives in Hessian Matrix

Finding the critical points of $f(x,y)=(y-x^2)(y-2x^2)$

Prove that the point is a local maximum if Hessian is null

The Hessian of a Radial Basis Function

What does this formula ('matrix notation') mean?

Proving that there exists $c \in S$ such that $f(x) = f(a) + \nabla f(a)\cdot (x − a) + \frac{1}{2} H_{f}(c)(x − a)\cdot (x − a)$

Why does continuity of the Hessian matrix allow us to assume a point is an interior point in the following proof?

How can I show if the eigenvalues of the Hessian is greater than $\alpha$, then the function is strongly convex?

Hessian squared and Laplacian on a Riemannian manifold

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