Companies have a new toolkit for solving complex problems in teams that borrows its approach from computer science, according to MIT Sloan. Getting started with a complex problem can seem daunting.

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Discrete combinatorial optimization has a central role in many scientific disciplines, however, for hard problems we lack linear time algorithms that would allow us to solve very large instances.