George Dantzig
George Bernard Dantzig was an American mathematical scientist who made contributions to industrial engineering, operations research, computer science, economics and statistics.
Background
- Born in
- Portland
- Educated at
- University of California, BerkeleyUniversity of MichiganUniversity of MarylandCardozo Education Campus
- Awards
- 🏆 Harold Pender Award🏆 Fellow of the Econometric Society🏆 Fellow of the Institute of Mathematical Statistics
- Doctoral Advisors
- 🎓 Jerzy Neyman
- Doctoral Students
- 📖 Ellis L. Johnson📖 Eric Horvitz
Trending & Selected Quotes
Trending topics shown first"One of the first applications of the simplex algorithm was to the determination of an adequate diet that was of least cost. In the fall of 1947, Jack Laderman of the Mathematical Tables Project of the…"
"All such problems can be formulated as mathematical programming problems. Naturally, we can propose many sophisticated algorithms and a theory but the final test of a theory is its capacity to solve t…"
"If the system exhibits a structure which can be represented by a mathematical equivalent, called a mathematical model, and if the objective can be also so quantified, then some computational method ma…"
"Industrial production, the flow of resources in the economy, the exertion of military effort in a war, the management of finances --all require the coordination of interrelated activities. What these …"
"Industrial production, the flow of resources in the economy, the exertion of military effort in a war theater-all are complexes of numerous interrelated activities. Differences may exist in the goals …"
Works & Publications
No works or publications documented yet.
Timeline
1914
Born
Birth2005
Died
Death
Influenced By
Thinkers whose ideas shaped George's philosophy
No known influences documented.
Influenced
Thinkers whose work was shaped by George's ideas
No influenced thinkers documented yet.
Source Attribution
Information about George Dantzig is sourced from curated knowledge bases and cross-referenced for accuracy. Influence relationships are scored by thematic overlap and historical plausibility.
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