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Obituaries of George Dantzig

An event in Dantzig's life became the origin of a famous story in 1939 while he was a graduate student at UC Berkeley. Near the beginning of a class for which Dantzig was late, professor Jerzy Neyman wrote two examples of famously unsolved statistics problems on the blackboard. When Dantzig arrived, he assumed that the two problems were a homework assignment and wrote them down. According to Dantzig, the problems "seemed to be a little harder than usual", but a few days later he handed in completed solutions for the two problems, still believing that they were an assignment that was overdue.

Six weeks later, Dantzig received a visit from an excited professor Neyman, eager to tell him that the homework problems he had solved were two of the most famous unsolved problems in statistics. He had prepared one of Dantzig's solutions for publication in a mathematical journal. As Dantzig told it in a 1986 interview in the College Mathematics Journal:

A year later, when I began to worry about a thesis topic, Neyman just shrugged and told me to wrap the two problems in a binder and he would accept them as my thesis.

Years later another researcher, Abraham Wald, was preparing to publish a paper which arrived at a conclusion for the second problem, and included Dantzig as its co-author when he learned of the earlier solution.

This story began to spread, and was used as a motivational lesson demonstrating the power of positive thinking. Over time Dantzig's name was removed and facts were altered, but the basic story persisted in the form of an urban legend, and as an introductory scene in the movie Good Will Hunting.

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from: washingtonpost.com

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Vanguard Mathematician George Dantzig Dies

By Joe Holley

Washington Post Staff Writer

Thursday, May 19, 2005; B06

George B. Dantzig, 90, a mathematician who devised a formula that revolutionized planning, scheduling, network design and other complex functions integral to modern-day business, industry and government, died May 13 at his home in Palo Alto, Calif. The cause of death, according to his daughter, was complications from diabetes and cardiovascular disease.

Dr. Dantzig was known as the father of linear programming and as the inventor of the "simplex method," an algorithm for solving linear programming problems.

"He really created the field," said Irvin Lustig, an operations research software consultant who was Dr. Dantzig's student at Stanford University.

Dr. Dantzig's seminal work allows the airline industry, for example, to schedule crews and make fleet assignments. It's the tool that shipping companies use to determine how many planes they need and where their delivery trucks should be deployed. The oil industry long has used linear programming in refinery planning, as it determines how much of its raw product should become different grades of gasoline and how much should be used for petroleum-based byproducts. It's used in manufacturing, revenue management, telecommunications, advertising, architecture, circuit design and countless other areas.

"The virtually simultaneous development of linear programming and computers led to an explosion of applications, especially in the industrial sector," Stanford University Professor Arthur F. Veinott Jr. said in a statement.

An event in Dantzig's life became the origin of a famous story in 1939 while he was a graduate student at UC Berkeley. Near the beginning of a class for which Dantzig was late, professor Jerzy Neyman wrote two examples of famously unsolved statistics problems on the blackboard. When Dantzig arrived, he assumed that the two problems were a homework assignment and wrote them down. According to Dantzig, the problems "seemed to be a little harder than usual", but a few days later he handed in completed solutions for the two problems, still believing that they were an assignment that was overdue.

Six weeks later, Dantzig received a visit from an excited professor Neyman, eager to tell him that the homework problems he had solved were two of the most famous unsolved problems in statistics. He had prepared one of Dantzig's solutions for publication in a mathematical journal. As Dantzig told it in a 1986 interview in the College Mathematics Journal:

A year later, when I began to worry about a thesis topic, Neyman just shrugged and told me to wrap the two problems in a binder and he would accept them as my thesis.

Years later another researcher, Abraham Wald, was preparing to publish a paper which arrived at a conclusion for the second problem, and included Dantzig as its co-author when he learned of the earlier solution.

This story began to spread, and was used as a motivational lesson demonstrating the power of positive thinking. Over time Dantzig's name was removed and facts were altered, but the basic story persisted in the form of an urban legend, and as an introductory scene in the movie Good Will Hunting.

— — — — — — — — — — — — — — — — -

from: washingtonpost.com

— — — — — — — — — — — — — — — — -

Vanguard Mathematician George Dantzig Dies

By Joe Holley

Washington Post Staff Writer

Thursday, May 19, 2005; B06

George B. Dantzig, 90, a mathematician who devised a formula that revolutionized planning, scheduling, network design and other complex functions integral to modern-day business, industry and government, died May 13 at his home in Palo Alto, Calif. The cause of death, according to his daughter, was complications from diabetes and cardiovascular disease.

Dr. Dantzig was known as the father of linear programming and as the inventor of the "simplex method," an algorithm for solving linear programming problems.

"He really created the field," said Irvin Lustig, an operations research software consultant who was Dr. Dantzig's student at Stanford University.

Dr. Dantzig's seminal work allows the airline industry, for example, to schedule crews and make fleet assignments. It's the tool that shipping companies use to determine how many planes they need and where their delivery trucks should be deployed. The oil industry long has used linear programming in refinery planning, as it determines how much of its raw product should become different grades of gasoline and how much should be used for petroleum-based byproducts. It's used in manufacturing, revenue management, telecommunications, advertising, architecture, circuit design and countless other areas.

"The virtually simultaneous development of linear programming and computers led to an explosion of applications, especially in the industrial sector," Stanford University Professor Arthur F. Veinott Jr. said in a statement.

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