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Philip Wolfe (mathematician)

American mathematician From Wikipedia, the free encyclopedia

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Philip Starr "Phil" Wolfe (August 11, 1927 – December 29, 2016) was an American mathematician and one of the founders of convex optimization theory and mathematical programming.

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Life

Wolfe received his bachelor's degree, masters, and Ph.D. degrees from the University of California, Berkeley.[2] He and his wife, Hallie, lived in Ossining, New York.[1]

Career

In 1954, he was offered an instructorship at Princeton, where he worked on generalizations of linear programming, such as quadratic programming and general non-linear programming, leading to the Frank–Wolfe algorithm[3] in joint work with Marguerite Frank, then a visitor at Princeton. When Maurice Sion was on sabbatical at the Institute for Advanced Study, Sion and Wolfe published in 1957 an example of a zero-sum game without a minimax value.[4] Wolfe joined RAND corporation in 1957, where he worked with George Dantzig, resulting in the now well known Dantzig–Wolfe decomposition method.[5] In 1965, he moved to IBM's Thomas J. Watson Research Center in Yorktown Heights, New York.

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Honors and awards

He received the John von Neumann Theory Prize in 1992, jointly with Alan Hoffman.

Selected publications

  • Dantzig, George B.; Wolfe, Philip (February 1960). "Decomposition Principle for Linear Programs". Operations Research. 8 (1): 101–111. doi:10.1287/opre.8.1.101.
  • Frank, M.; Wolfe, P. (1956). "An algorithm for quadratic programming". Naval Research Logistics Quarterly. 3 (1–2): 95–110. doi:10.1002/nav.3800030109.
  • Held, M.; Wolfe, P.; Crowder, H. P. (1974). "Validation of subgradient optimization". Mathematical Programming. 6: 62–88. doi:10.1007/BF01580223. S2CID 206797746.
  • Wolfe, P. (1959). "The Simplex Method for Quadratic Programming". Econometrica. 27 (3): 382–398. doi:10.2307/1909468. JSTOR 1909468.
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References

External Information

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