Philip Wolfe (mathematician)
| Philip Wolfe | |
|---|---|
| Born | August 11, 1927 San Francisco |
| Alma mater | University of California, Berkeley |
| Thesis | I.Games of Infinite Length; II.A Nondegenerate Formulation and Simplex Solution of Linear Programming Problems (1954) |
| Doctoral advisor | Ed Barankin |
Philip Starr "Phil" Wolfe (born August 11, 1927) is considered one of the founders of convex optimization theory and mathematical programming.
Life
He received his bachelors, masters and Ph.D. degrees from the University of California, Berkeley.[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[2] in joint work with Marguerite Frank, then a visitor at Princeton. He joined RAND corporation in 1957, where he worked with George Dantzig, resulting in the now well known Dantzig–Wolfe decomposition method.[3] In 1965, he moved to IBM's Thomas J. Watson Research Center in Yorktown Heights, New York.
Honors and awards
He received the John von Neumann Theory Prize in 1992, jointly with Alan Hoffman.
Selected publications
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References
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- Living people
- 1927 births
- John von Neumann Theory Prize winners
- American operations researchers
- Numerical analysts
- American computer scientists
- 20th-century American mathematicians
- 21st-century American mathematicians
- American statisticians
- RAND Corporation people
- University of California, Berkeley alumni
- American military personnel of World War II
- Game theorists
- American mathematician stubs
