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Topic: Taming randomness, Talagrand wins the Abel prize (Read 53 times)

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This was announced yesterday and in time there will be more discoveries regarding the predictability of random processes.
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A mathematician who developed formulas to make random processes more predictable and helped to solve an iconic model of complex phenomena has won the 2024 Abel Prize, one of the field’s most coveted awards. Michel Talagrand received the prize for his “contributions to probability theory and functional analysis, with outstanding applications in mathematical physics and statistics,” the Norwegian Academy of Science and Letters in Oslo announced on 20 March.

Assaf Naor, a mathematician at Princeton University in New Jersey, says it is difficult to overestimate the impact of Talagrand’s work. “There are papers posted maybe on a daily basis where the punchline is ‘now we use Talagrand’s inequalities’,” he says.


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Thanks to Talagrand’s techniques, “many things that seem complicated and random turn out to be not so random,” says Naor. His estimates are extremely powerful, for example for studying problems such as optimizing the route of a delivery truck. Finding a perfect solution would require an exorbitant amount of computation, so computer scientists can instead calculate the lengths of a limited number of random candidate routes and then take the average — and Talagrand’s inequalities ensure that the result is close to optimal.


Source:   https://www.scientificamerican.com/article/mathematician-who-tamed-randomness-wins-abel-prize/
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