Donald Goldfarb
Donald Goldfarb · Technology & Engineering
Co-author of the BFGS optimization method used across science and machine learning; von Neumann Theory Prize (2017)
1941, New York City, USA
United States
Donald Goldfarb is recognized among Jewish contributors to Technology & Engineering — Co-author of the BFGS optimization method used across science and machine learning; von Neumann Theory Prize (2017)
Donald Goldfarb is an American applied mathematician at Columbia University who co-developed the BFGS quasi-Newton method — one of the most widely used optimization algorithms in science, engineering and machine learning — and the Goldfarb–Idnani algorithm for quadratic programming, earning the 2017 von Neumann Theory Prize. He was born in New York City. Publicly available biographies do not document a Jewish background, though he appears on community rosters of Jewish von Neumann laureates.
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Source: Jinfo.org — Jewish recipients of the von Neumann Theory Prize
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Co-author of the BFGS optimization method used across science and machine learning; von Neumann Theory Prize (2017)
Source: Jinfo.org — Jewish recipients of the von Neumann Theory Prize
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