List questions from numerical-optimization

52

Views

Search for projection on a special matrix space with regard to Frobenius norm(computer vision background)

Published on 25 Mar 2026 - 12:34

271

Views

Is compressive sensing a type of interpolation?

Published on 25 Mar 2026 - 23:56

362

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Projected Conjugate Gradient or BFGS for bound constrained optimization

Published on 25 Mar 2026 - 23:09

58

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On the idea of the penalty methods of constrained minimization

Published on 25 Mar 2026 - 6:21

29

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Soft Question: Optimization

Published on 14 Jan 2019 - 8:06

334

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How to take derivative of log loss function in gradient descent?

Published on 25 Mar 2026 - 23:08

109

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How to write Frank-Wolfe algorithm in two steps optimization problems?

Published on 18 Jan 2019 - 0:53

48

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In-exact line search

Published on 18 Jan 2019 - 14:37

190

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Motive of Conjugate Gradient method.

Published on 24 Mar 2026 - 17:22

68

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Nonlinear optimization with parametric constraint

Published on 22 Jan 2019 - 21:45

134

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Solve $\min_{x} \frac{1}{N}\sum_{i=1}^{N} f_i(x_i) + g(x)$ $\ {\rm s.t.} Ax = b$; $x = [x_1,\ldots,x_N]^T$ and $A \in \mathbb{R}^{M \times N}$.

Published on 26 Jan 2019 - 8:40

599

Views

Is modified Newton's Raphson method redundant?

Published on 27 Jan 2019 - 17:00

334

Views

How to show convergence of Frank-Wolfe algorithm ( or conditional gradient method)?

Published on 01 Feb 2019 - 17:56

663

Views

Linear approximation to xln(x)

Published on 25 Mar 2026 - 5:58

437

Views

Slow convergence of gradient descent for a strictly convex quadratic

Published on 25 Mar 2026 - 23:16

List Question

Search for projection on a special matrix space with regard to Frobenius norm(computer vision background)

Is compressive sensing a type of interpolation?

Projected Conjugate Gradient or BFGS for bound constrained optimization

On the idea of the penalty methods of constrained minimization

Soft Question: Optimization

How to take derivative of log loss function in gradient descent?

How to write Frank-Wolfe algorithm in two steps optimization problems?

In-exact line search

Motive of Conjugate Gradient method.

Nonlinear optimization with parametric constraint

Solve $\min_{x} \frac{1}{N}\sum_{i=1}^{N} f_i(x_i) + g(x)$ $\ {\rm s.t.} Ax = b$; $x = [x_1,\ldots,x_N]^T$ and $A \in \mathbb{R}^{M \times N}$.

Is modified Newton's Raphson method redundant?

How to show convergence of Frank-Wolfe algorithm ( or conditional gradient method)?

Linear approximation to xln(x)

Slow convergence of gradient descent for a strictly convex quadratic

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