List questions from vector-analysis

Published on 05 Jun 2018 - 12:34

236

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How is quaternion analysis related to vector calculus?

Published on 25 Mar 2026 - 1:22

886

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Verify the divergence theorem for this surface and vector field.

Published on 25 Mar 2026 - 1:34

39

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How can I write explicit expressions for gradients and derivatives about a given function?

Published on 25 Mar 2026 - 0:02

55

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Calculating curl, divergence, grad (fluid dynamics context)

Published on 26 Mar 2026 - 4:49

42

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integration over functions of scalar products

Published on 25 Mar 2026 - 17:22

7.8k

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gradient of least squares loss function derivation

Published on 07 Jun 2018 - 20:38

39

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Is the boundary of a 2-dimention-open-connect-bounded set a line?

Published on 08 Jun 2018 - 4:06

92

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Equation $\nabla(\phi) = \nabla\times \bf{A}$ on a (2D) square.

Published on 25 Mar 2026 - 8:07

26

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Complex analyticity and vector potentials?

Published on 25 Mar 2026 - 19:00

1.9k

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Deriving the gradient vector of a Probit model

Published on 26 Mar 2026 - 0:58

48

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Differentiability in $\mathbb{R}^2$

Published on 09 Jun 2018 - 10:06

30

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when $\text{curl}(\vec{F})=(x,y,z)$?

Published on 10 Jun 2018 - 8:10

40

Views

How to show that following is a solution of the optimization problem?

Published on 11 Jun 2018 - 8:52

475

Views

Gradient descent converges to critical points for non-convex functions

Published on 25 Mar 2026 - 11:01

List Question

Taking the derivative of $A(t)\,x(t).$

How is quaternion analysis related to vector calculus?

Verify the divergence theorem for this surface and vector field.

How can I write explicit expressions for gradients and derivatives about a given function?

Calculating curl, divergence, grad (fluid dynamics context)

integration over functions of scalar products

gradient of least squares loss function derivation

Is the boundary of a 2-dimention-open-connect-bounded set a line?

Equation $\nabla(\phi) = \nabla\times \bf{A}$ on a (2D) square.

Complex analyticity and vector potentials?

Deriving the gradient vector of a Probit model

Differentiability in $\mathbb{R}^2$

when $\text{curl}(\vec{F})=(x,y,z)$?

How to show that following is a solution of the optimization problem?

Gradient descent converges to critical points for non-convex functions

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