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1 vote
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121 views

Convex approximation of a constraint

I have a constraint given as $ \left|x_n+\beta x_{n+ 1}\right|-\varepsilon_{ky}\left|x_{n}\right|\leq0\hspace{1em}\forall n=1,2...,N $ I need to convert this into a convex form to implement in CVX. $...
Muhammad's user avatar
2 votes
0 answers
78 views

How to rewrite a constraint with sum of convex and concave components to satisfy DCP rule?

suppose that decision variable is X with N dimensions, and one type of the constraint is ...
Allen Zhang's user avatar
3 votes
2 answers
147 views

How to linearize or fix this disciplined convex programming error?

How can I linearize this constraint $$d_{u,c}\sigma \le \|{\bf f}_{u,c}\|^2\le Td_{u,c}$$ $\sigma$ is a very small number based on scale of $f$ $T>0$, ${\bf f}_{u,c}$ is optimization variable, a ...
KGM's user avatar
  • 2,397
2 votes
1 answer
497 views

MIQP — CVXPY unable to treat summation of variables as a variable

I have a quadratic integer programming assignment problem. The goal is to assign riders seats on a bus such that distance between any two riders is maximized; however, the importance of each objective ...
jbuddy_13's user avatar
  • 559
1 vote
1 answer
728 views

How to transform this problem with logarithmic objective function into an approximated convex optimization problem?

I have an objective function as follows $\underset{x_{m,n}}{\max}\hspace{1mm}\hspace{1mm}\sum_{m=1}^{M}\log_2\left(\frac{\sum_{n=1}^{N}(1-x_{m,n})\omega_{m,n}+z}{\sum_{n=1}^{N}x_{m,n}\omega_{m,n}}\...
KGM's user avatar
  • 2,397
3 votes
1 answer
351 views

How can I convexify (allowed some approximation) the objective function?

I have a known matrix, $H$ of size $U\times B$. The optimization variable is $D$ of same size, which is binary Now I have $$S_u=\frac{\sum\limits_{b=1}^{B} D_{u,b}H_{u,b}}{\sum\limits_{b=1}^{B}H_{u,b}-...
KGM's user avatar
  • 2,397
8 votes
1 answer
503 views

How to resolve this issue in multi-objective optimization?

I have the following multiobjective optimization problem. The objectives are non-conflicting. The Optimization Problem: $$\underset{\large{a^{(l)}_{c,u},f^{(l)}_{c,u},z_{l,t},l\in\mathcal{L}}}{\max}\...
KGM's user avatar
  • 2,397