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Science
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Mathematicians have been trying to solve the moving sofa problem since 1966 .
Joseph Gerver of Rutgers University proposed a clever curved shape with an area of approximately 2.2195 .
In 2016 , a mathematician at the University of California provided a more conceptual description of Gerver ’s sofa.
The result illustrates that even the most straightforward optimization problems can have counterintuitively complicated answers.
Jin Baek was determined to work on the moving sofa problem.
Baek developed more powerful computational tools to drive the upper bound down even further.
He showed that the optimal shape had to at least resemble Gerver ’s sofa.
The proof offers a fresh approach to optimization problems, which is still being peer reviewed.
“I’m 75 years old now,” he said. “I feel lucky to have lived long enough to see someone finally solve the problem.”.
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