Question

How to Mathematically Recover Sparse Signal (Least Squares with $ {L}_{1} $ Regularization - LASSO)?

score 187 · Answer 1 · 2026-03-25 18:47:31

187

Views

How to Mathematically Recover Sparse Signal (Least Squares with $ {L}_{1} $ Regularization - LASSO)?

Published on 25 Mar 2026 - 18:47

score 125 · Answer 2 · 2026-04-17 12:20:19

125

Views

Prove zero vector is a boundary point of $C_2 - C_1$ of two "(relative) distinct" and non-disjoint convex sets $C_1$,$C_2$

Published on 17 Apr 2026 - 12:20

score 307 · Answer 3 · 2026-04-09 17:30:37

307

Views

Help understand the definition of proper hyperplane separation.

Published on 09 Apr 2026 - 17:30

score 171 · Answer 4 · 2026-04-15 03:49:50

171

Views

Nash point and Limit point

Published on 15 Apr 2026 - 3:49

score 1.8k · Answer 5 · 2026-04-12 21:07:37

1.8k

Views

Dual problem of minimizing a quadratic objective function with an infinity norm inequality constraint

Published on 12 Apr 2026 - 21:07

score 894 · Answer 6 · 2026-04-12 22:37:31

894

Views

Proximal Operator of $ \alpha \| \mu \|_{\infty} + I_{0 \leq \mu \leq 1} ( \mu ) $ Using the Moreau Decomposition

Published on 12 Apr 2026 - 22:37

score 167 · Answer 7 · 2026-04-11 13:22:16

167

Views

Is a quasiconvex function always the monotone image of a convex function?

Published on 11 Apr 2026 - 13:22

score 59 · Answer 8 · 2026-04-11 04:00:12

59

Views

Regarding inequality constraints in convex optimization

Published on 11 Apr 2026 - 4:00

score 268 · Answer 9 · 2026-04-13 15:47:18

268

Views

Estimating the convexity of black box objective function , by multi starting a gradient based method.

Published on 13 Apr 2026 - 15:47

score 1.9k · Answer 10 · 2026-04-14 01:52:23

1.9k

Views

Why is the sum of smallest components of a vector a concave function?

Published on 14 Apr 2026 - 1:52

score 670 · Answer 11 · 2026-04-09 05:05:49

670

Views

Infinity norm of matrix as inequality constraint in optimization

Published on 09 Apr 2026 - 5:05

score 80 · Answer 12 · 2026-04-12 06:39:05

80

Views

Distributed optimization for convex problem with coupling affine constraints.

Published on 12 Apr 2026 - 6:39

score 1.1k · Answer 13 · 2026-04-10 16:40:03

1.1k

Views

Checking the convexity of an optimization problem using the Hessian

Published on 10 Apr 2026 - 16:40

score 275 · Answer 14 · 2026-04-09 15:00:34

275

Views

actually USING the lagrangian dual to solve a problem

Published on 09 Apr 2026 - 15:00

score 370 · Answer 15 · 2026-03-26 01:07:34

370

Views

Convert Convex $ {L}_{1.5} $ Regression Problem into Semi Definite Program (SDP)

Published on 26 Mar 2026 - 1:07

List Question

How to Mathematically Recover Sparse Signal (Least Squares with $ {L}_{1} $ Regularization - LASSO)?

Prove zero vector is a boundary point of $C_2 - C_1$ of two "(relative) distinct" and non-disjoint convex sets $C_1$,$C_2$

Help understand the definition of proper hyperplane separation.

Nash point and Limit point

Dual problem of minimizing a quadratic objective function with an infinity norm inequality constraint

Proximal Operator of $ \alpha \| \mu \|_{\infty} + I_{0 \leq \mu \leq 1} ( \mu ) $ Using the Moreau Decomposition

Is a quasiconvex function always the monotone image of a convex function?

Regarding inequality constraints in convex optimization

Estimating the convexity of black box objective function , by multi starting a gradient based method.

Why is the sum of smallest components of a vector a concave function?

Infinity norm of matrix as inequality constraint in optimization

Distributed optimization for convex problem with coupling affine constraints.

Checking the convexity of an optimization problem using the Hessian

actually USING the lagrangian dual to solve a problem

Convert Convex $ {L}_{1.5} $ Regression Problem into Semi Definite Program (SDP)

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