Question

Multinomial logistic loss gradient and hessian

score 672 · Answer 1 · 2026-04-15 11:05:41

672

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Multinomial logistic loss gradient and hessian

Published on 15 Apr 2026 - 11:05

score 233 · Answer 2 · 2026-04-08 10:35:31

233

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Solutions for $A^2=B$

Published on 08 Apr 2026 - 10:35

score 55 · Answer 3 · 2026-04-11 03:11:41

55

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Finding the norm of the differential of product matrix function

Published on 11 Apr 2026 - 3:11

score 990 · Answer 4 · 2026-04-12 00:56:49

990

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Is there a Taylor expansion of a matrix-valued function?

Published on 12 Apr 2026 - 0:56

score 93 · Answer 5 · 2026-04-09 08:10:05

93

Views

Trace derivative

Published on 09 Apr 2026 - 8:10

score 168 · Answer 6 · 2026-04-12 15:10:06

168

Views

Binet's Formula for Negative Fibonacci Sequences

Published on 12 Apr 2026 - 15:10

score 66 · Answer 7 · 2026-04-13 13:47:06

66

Views

Matrix Multiplication Composition from $\mathbb{R}^3 \to \mathbb{R}^3$

Published on 13 Apr 2026 - 13:47

score 184 · Answer 8 · 2026-04-16 05:05:40

184

Views

Show that for all $X \in \mathscr{M}_n(\mathbb{C})$ we have that: $\lim\limits_{n \rightarrow \infty}{\left(I + \frac{1}{m}X\right)}^{m} = \exp{X}$

Published on 16 Apr 2026 - 5:05

score 81 · Answer 9 · 2026-04-28 21:43:47

81

Views

Finding $\alpha$ in $Ax=b$

Published on 28 Apr 2026 - 21:43

score 47 · Answer 10 · 2026-04-16 14:55:58

47

Views

Derivation of $\frac{\partial}{\partial\beta} = (y - X\beta)^t (y - X\beta) = 2X^T(y - X\beta)$ using matrix cookbook.

Published on 16 Apr 2026 - 14:55

score 45 · Answer 11 · 2026-04-16 12:17:32

45

Views

Upper Bound on the entries of $A^n$, where $A \in M_d(\mathbb C)$ and $n\in \mathbb N$

Published on 16 Apr 2026 - 12:17

score 54 · Answer 12 · 2026-04-15 18:59:04

54

Views

Calculate $\frac{∂L}{∂A}$ given $\frac{∂L}{∂G}$, $D=(A-\iota\cdot B^T)\odot\iota\cdot C^T$, and $G=D \odot(\iota\cdot E^T)+\iota\cdot F^T$

Published on 15 Apr 2026 - 18:59

score 390 · Answer 13 · 2026-04-09 18:02:48

390

Views

Differentiation of inner product with matrices

Published on 09 Apr 2026 - 18:02

score 131 · Answer 14 · 2026-04-15 11:21:58

131

Views

Possible Close-form solution for 2 dimensional $\frac{d\Sigma}{dt} = \mathbf{A}\Sigma + \Sigma \mathbf{A}^T + \mathbf{B}\mathbf{B}^T$

Published on 15 Apr 2026 - 11:21

score 47 · Answer 15 · 2026-04-13 03:34:55

47

Views

What does it mean to have a matrix in a vector integral?

Published on 13 Apr 2026 - 3:34

List Question

Multinomial logistic loss gradient and hessian

Solutions for $A^2=B$

Finding the norm of the differential of product matrix function

Is there a Taylor expansion of a matrix-valued function?

Trace derivative

Binet's Formula for Negative Fibonacci Sequences

Matrix Multiplication Composition from $\mathbb{R}^3 \to \mathbb{R}^3$

Show that for all $X \in \mathscr{M}_n(\mathbb{C})$ we have that: $\lim\limits_{n \rightarrow \infty}{\left(I + \frac{1}{m}X\right)}^{m} = \exp{X}$

Finding $\alpha$ in $Ax=b$

Derivation of $\frac{\partial}{\partial\beta} = (y - X\beta)^t (y - X\beta) = 2X^T(y - X\beta)$ using matrix cookbook.

Upper Bound on the entries of $A^n$, where $A \in M_d(\mathbb C)$ and $n\in \mathbb N$

Calculate $\frac{∂L}{∂A}$ given $\frac{∂L}{∂G}$, $D=(A-\iota\cdot B^T)\odot\iota\cdot C^T$, and $G=D \odot(\iota\cdot E^T)+\iota\cdot F^T$

Differentiation of inner product with matrices

Possible Close-form solution for 2 dimensional $\frac{d\Sigma}{dt} = \mathbf{A}\Sigma + \Sigma \mathbf{A}^T + \mathbf{B}\mathbf{B}^T$

What does it mean to have a matrix in a vector integral?

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