The Stigler diet is an optimization problem named for George Stigler, a 1982 Nobel laureate in economics, who posed the following problem:
The nutrient RDAs required to be met in Stigler's experiment were calories, protein, calcium, iron, as well as vitamins vitamin A, thiamine, riboflavin, B3, and ascorbic acid. The result was an annual budget allocated to foods such as evaporated milk, cabbage, dried navy beans, and beef liver at a cost of approximately $0.11 a day in 1939 U.S. dollars.
While the name "Stigler Diet" was applied after the experiment by outsiders, according to Stigler, "No one recommends these diets for anyone, let alone everyone." The Stigler diet has been much ridiculed for its lack of variety and palatability; however, his methodology has received praise and is considered to be some of the earliest work in linear programming.
+Stigler's 1939 Diet |
$13.33 |
$3.84 |
$4.11 |
$1.85 |
$16.80 |
$39.93 |
+ Table of nutrients considered in Stigler's diet |
3,000 Calories |
70 grams |
.8 grams |
12 milligrams |
5,000 IU |
1.8 milligrams |
2.7 milligrams |
18 milligrams |
75 milligrams |
Seven years after Stigler made his initial estimates, the development of George Dantzig's simplex algorithm made it possible to solve the problem without relying on heuristic methods. The exact value was determined to be $39.69 (using the original 1939 data). Dantzig's algorithm describes a method of traversing the vertices of a polytope of N+1 dimensions in order to find the optimal solution to a specific situation.
In 2014, Google chef Anthony Marco devised a recipe using a similar list of ingredients (with calf liver in place of evaporated milk), called "Foie Linéaire à la Stigler"; one Google employee described it as "delicious". "Sudoku, Linear Optimization, and the Ten Cent Diet", Jon Orwant, 30 September 2014
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