Algorithm Design (Jon Kleinberg Eva Tardos)
Algorithmic ideas are pervasive, and their reach is apparent in examples both
within computer science and beyond. Some of the major shifts in Internet
routing standards can be viewed as debates over the deficiencies of one
shortest-path algorithm and the relative advantages of another. The basic
notions used by biologists to express similarities among genes and genomes
have algorithmic definitions. The concerns voiced by economists over the
feasibility of combinatorial auctions in practice are rooted partly in the fact that
these auctions contain computationally intractable search problems as special
cases. And algorithmic notions aren’t just restricted to well-known and longstanding
problems; one sees the reflections of these ideas on a regular basis,
in novel issues arising across a wide range of areas. The scientist from Yahoo!
who told us over lunch one day about their system for serving ads to users was
describing a set of issues that, deep down, could be modeled as a network flow
problem. So was the former student, now a management consultant working
on staffing protocols for large hospitals, whom we happened to meet on a trip
to New York City.
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