Question

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

score 112 · Answer 1 · 2026-04-13 00:13:13

112

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

Published on 13 Apr 2026 - 0:13

score 222 · Answer 2 · 2026-03-25 02:57:18

222

Views

Two Mixed Integer Linear Programs (MILP) with different objectives and same constraints

Published on 25 Mar 2026 - 2:57

score 50 · Answer 3 · 2026-04-14 21:37:43

50

Views

In-exact line search

Published on 14 Apr 2026 - 21:37

score 43 · Answer 4 · 2026-04-11 16:50:53

43

Views

How to find most likely family of probability density polynomials given prior data?

Published on 11 Apr 2026 - 16:50

score 181 · Answer 5 · 2026-04-18 12:21:21

181

Views

Global extrema of $f(x,y,z) = x^2-y^2+z$ on $x^2+y^2+z^2\leq 1$ and $f(x,y)=\frac{x^2}{2}+\frac{y^2}{2}$ on $\frac{x^2}{2}+y^2\leq 1$

Published on 18 Apr 2026 - 12:21

score 186 · Answer 6 · 2026-04-16 15:51:23

186

Views

If $f$ is $\beta$-smooth and non-negative, then $|f'(x)|^2\le 2\beta f(x)$?

Published on 16 Apr 2026 - 15:51

score 242 · Answer 7 · 2026-04-09 09:08:54

242

Views

Constrained Optimization problem with Lagrange Multiplier

Published on 09 Apr 2026 - 9:08

score 471 · Answer 8 · 2026-04-16 09:53:03

471

Views

Find a point $X$, in the plane of regular pentagon $ABCDE$, that minimizes $\frac{XA+XB}{XC+XD+XE}$.

Published on 16 Apr 2026 - 9:53

score 71 · Answer 9 · 2026-03-25 20:41:59

71

Views

proving if player 1 has a pure optimal strategy, player 2 should as well

Published on 25 Mar 2026 - 20:41

score 2.1k · Answer 10 · 2026-04-15 17:50:47

2.1k

Views

Orthogonal Projection onto the Weighted $ {L}_{2} $ Norm Ball

Published on 15 Apr 2026 - 17:50

score 861 · Answer 11 · 2026-04-12 20:19:36

861

Views

knapsack with multiple constraints and some negative weights

Published on 12 Apr 2026 - 20:19

score 552 · Answer 12 · 2026-04-14 04:45:17

552

Views

Prove Unique Lagrange Multipliers Equality Constraint

Published on 14 Apr 2026 - 4:45

score 96 · Answer 13 · 2026-03-26 22:13:07

96

Views

Rewrite $ \min_{q\in Q_0} \sum_{x=1}^X |m_x(q)| $ with linear objective function

Published on 26 Mar 2026 - 22:13

score 462 · Answer 14 · 2026-04-11 15:42:12

462

Views

Binary Optimization Problems that can be easily solved?

Published on 11 Apr 2026 - 15:42

score 100 · Answer 15 · 2026-04-16 23:10:15

100

Views

Calculating the minimum distance to the origin from a curve defined by $\frac{x^2}{4}+y^2+\frac{z^2}{4}=1$ and $x+y+z=1$

Published on 16 Apr 2026 - 23:10

List Question

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

Two Mixed Integer Linear Programs (MILP) with different objectives and same constraints

In-exact line search

How to find most likely family of probability density polynomials given prior data?

Global extrema of $f(x,y,z) = x^2-y^2+z$ on $x^2+y^2+z^2\leq 1$ and $f(x,y)=\frac{x^2}{2}+\frac{y^2}{2}$ on $\frac{x^2}{2}+y^2\leq 1$

If $f$ is $\beta$-smooth and non-negative, then $|f'(x)|^2\le 2\beta f(x)$?

Constrained Optimization problem with Lagrange Multiplier

Find a point $X$, in the plane of regular pentagon $ABCDE$, that minimizes $\frac{XA+XB}{XC+XD+XE}$.

proving if player 1 has a pure optimal strategy, player 2 should as well

Orthogonal Projection onto the Weighted $ {L}_{2} $ Norm Ball

knapsack with multiple constraints and some negative weights

Prove Unique Lagrange Multipliers Equality Constraint

Rewrite $ \min_{q\in Q_0} \sum_{x=1}^X |m_x(q)| $ with linear objective function

Binary Optimization Problems that can be easily solved?

Calculating the minimum distance to the origin from a curve defined by $\frac{x^2}{4}+y^2+\frac{z^2}{4}=1$ and $x+y+z=1$

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