Minimizing a Median

\( \def\xorder#1{x_{\left(#1\right)}} \def\xset{\mathbb{X}} \def\xvec{\mathbf{x}} \)A somewhat odd (to me) question was asked on a forum recently. Assume that you have continuous variables \(x_{1},\dots,x_{N}\) that are subject to some constraints. For simplicity, I’ll just write \(\xvec=(x_{1},\dots,x_{N})\in\xset\). I’m going to assume that \(\xset\) is compact, and so in particular the \(x_{i}\) are bounded. The questioner wanted to …

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Rolling Horizons

I keep seeing questions posted by people looking for help as they struggle to optimize linear programs (or, worse, integer linear programs) with tens of millions of variables. In my conscious mind, I know that commercial optimizers such as CPLEX allow models that large (at least if you have enough memory) and can often solve …

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If This and That Then Whatever

I was asked a question that reduced to the following: if \(x\), \(y\) and \(z\) are all binary variables, how do we handle (in an integer programming model) the requirement “if \(x=1\) and \(y=1\) then \(z=1\)”? In the absence of any constraints on \(z\) when the antecedent is not true, this is very easy: add …

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MIP Models in R with OMPR

A number of R libraries now exist for formulating and solving various types of mathematical programs in R (or formulating them in R and solving them with external solvers). For a comprehensive listing, see the Optimization and Mathematical Programming task view on CRAN. I decided to experiment with Dirk Schumacher’s OMPR package for R. OMPR …

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Better Estimate, Worse Result

I thought I might use a few graphs to help explain an answer I posted on Quora recently. First, I’ll repeat the question here: In parametric optimization with unknown parameters, does a better estimator of the parameter always lead to better solutions to the actual problem? Here we’re trying to minimize f(x,θ) with respect to …

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Enforcing Simultaneous Arrivals

I’m recapping here an answer to a modeling question that I just posted on a help forum. (Since it will now appear in two different places, let’s hope it’s correct!) The original poster (OP) was working on a routing model, in which vehicles (for which I will use and if needed as indices) are assigned …

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Using CLP with Java

The COIN-OR project provides a home to a number of open source software projects useful in operations research, primarily optimization programs and libraries. Possibly the most “senior” of these projects is CLP, a single-threaded linear program solver. Quoting the project description: CLP is a high quality open-source LP solver. Its main strengths are its Dual …

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Partitioning with Binary Variables

Armed with the contents of my last two posts (“The Geometry of a Linear Program“, “Branching Partitions the Feasible Region“), I think I’m ready to get to the question that motivated all this. Let me quickly enumerate a few key take-aways from those posts: The branch and bound method for solving an integer linear program …

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