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・ Rufus Hardy
・ Rufus Hardy (representative)
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Rufus Isaacs (game theorist)
・ Rufus Isaacs, 1st Marquess of Reading
・ Rufus J. Ivey House
・ Rufus Johnson (American football)
・ Rufus Jones
・ Rufus Jones (actor)
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・ Rufus Jones for President
・ Rufus K. Goodenow
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・ Rufus Keppel, 10th Earl of Albemarle
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Rufus Isaacs (game theorist) : ウィキペディア英語版
Rufus Isaacs (game theorist)
Rufus Philip Isaacs (1914–1981) was a game theorist especially prominent in the 1950s and 1960s with his work on differential games.
==Biography==
Isaacs was born on 11 June 1914 in New York City.〔''Who was Who in America'', 1981, Vol 7.〕 He worked for the RAND Corporation from 1948 until winter 1954/1955. His investigation stemmed from classic pursuit-evasion type zero-sum dynamic two player games such as the Princess and monster game. In 1942, He married Rose Barcov, and they had two daughters.
His work in pure mathematics included working with monodiffric functions, fractional-order mappings, graph theory, analytic functions, and number theory. In graph theory he constructed the first two infinite families of snarks. In applied mathematics, he worked with aerodynamics, elasticity, optimization, and differential games, which he is most known for. He received his bachelors from MIT in 1936, and received his MA and PhD from Columbia University in 1942 and 1943 respectively.〔His doctoral advisor was Edward Kasner〕 His first post after the war ended was at Notre Dame, but he left in 1947 due to salary issues. While at RAND, much of his work was classified, and thus remained unknown until the publication of his classic text on differential games a decade after leaving RAND. His career after RAND was spent largely in the defense and avionics industries. While at RAND, he worked with researchers including Richard E. Bellman, Leonard D. Berkovitz, David H. Blackwell, John M. Danskin, Melvin Dresher, Wendell H. Fleming, Irving L. Glicksberg, Oliver A. Gross, Samuel Karlin, John W. Milnor, John F. Nash, and Lloyd S. Shapley. His work has significant influence on mathematical optimization including fundamental concepts such as dynamic programming (Richard E. Bellman) and the Pontryagin maximum principle (Breitner 2005) which are widely used in economics and many other fields.

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