# Questions tagged [disciplined-convex-programming]

Disciplined convex programming (DCP) is a system for constructing mathematical expressions with known curvature from a given library of base functions.

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### How to make constraints satisfy disciplined convex programming guidelines?

How do I turn my convex constraints (described below) into constraints that are DCP so that I can solve them in CVXPy? Is there some cheat sheet'' of standard tricks? I'm trying to implement the ...
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### Help with constrained or regularized optimization problem involving variable matrices and powers of matrices (or perhaps matrix logarithms)

I am attempting to solve the following optimization problem: $$\small\min_{A,B,C} \| Y_A - AX_A \|_F + \| Y_B - BX_B \|_F + \| Y_C - CX_C \|_F + \lambda_1 \|B - A^2\|_F + \lambda_2 \|C - A^4\|_F$$ ...
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### Global optimizers handling minimization of an expression arising from the likelihood of a multivariate normal

I am interested in converting the following optimisation problem into a form that an exponential cone and/or SDP solver such as MOSEK can handle. This is a multivariate version of the question I ...
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### 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 ...
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### Regularize for a bang-bang control

I have an optimal control problem with a state vector $\vec x$ and a control vector $\vec u\in[0,1]$. If I were solving the problem without regularization I would write $$\min \lVert \vec x \rVert$$ ...
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### 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 ...
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