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Computer science and physics have been closely linked since the
birth of modern computing. In recent years, an interdisciplinary
area has blossomed at the junction of these fields, connecting
insights from statistical physics with basic computational
challenges. Researchers have successfully applied techniques from
the study of phase transitions to analyze NP-complete problems such
as satisfiability and graph coloring. This is leading to a new
understanding of the structure of these problems, and of how
algorithms perform on them.
Computer science and physics have been closely linked since the
birth of modern computing. In recent years, an interdisciplinary
area has blossomed at the junction of these fields, connecting
insights from statistical physics with basic computational
challenges. Researchers have successfully applied techniques from
the study of phase transitions to analyze NP-complete problems such
as satisfiability and graph coloring. This is leading to a new
understanding of the structure of these problems, and of how
algorithms perform on them.
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