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Mutually exclusive non-zero variables in Linear Programming, without using binary variables or objective function

The disjunction $a = 0 \lor b = 0$ is nonconvex, so you cannot enforce it with linear constraints.
RobPratt's user avatar
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3 votes
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Path-following methods being a 1-phase method

Consider the standard primal dual pair: $\min c^{T}x$ subject to $Ax=b$, $x \geq 0$ and the dual $\max b^{T}y$ subject to $A^{T}y+z=c$, $z\geq 0$. In the "infeasible" version of the primal-...
Brian Borchers's user avatar
2 votes
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Does LP have optimal solution provided that the coefficients and variables are guaranteed to be nonnegative?

By the Fundamental Theorem of Linear Programming, a linear programming problem is either infeasible, unbounded (which for a minimization problem means it has feasible solutions with arbitrarily large ...
Robert Israel's user avatar
1 vote
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Chvatal-Gomory integer rounding method to find facets of $\operatorname{conv}(S)$

Here's a systematic approach that uses LP duality. First write your constraints as \begin{align} 4x_1 + x_2 &\le 28 \tag1\label1\\ x_1 + 4x_2 &\le 27 \tag2\label2\\ x_1 - x_2 &\le 1 \...
RobPratt's user avatar
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3 votes

Is the duality concept in linear programming related to category theory?

Here are 3-4 such attempts : (1) "Linear programming duality and morphisms" Winfried Hochstattler, Jaroslav Nesetril (1999) The title says it all Available @ https://cmuc.karlin.mff.cuni.cz/...
Prem's user avatar
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2 votes
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0-1 Linear programming and non-optimal multidimensional knapsack

You want to enforce the logical implication $$x(k,e) = 0 \implies \bigvee_{i=1}^n \left(\mathbf{s}_i(k)-\mathbf{c}_i(e) \le \sum_{d\in E}\mathbf{c}_i(d)\cdot x(k,d)-\epsilon\right)$$ Introduce binary ...
RobPratt's user avatar
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