Abstract
An important scientific problem of the seventeenth and eighteenth centuries was to determine the figure of the earth. This problem attracted the attention of many notable people, one of whom was Roger Joseph Boscovich a Jesuit priest and natural scientist who formulated—and gave an algorithm for solving—linearly constrained optimization problems whose minimand is the sum of the absolute values of the errors, i.e., a special linear regression model. After first recounting some of the rich history of this development, the present expository note focuses on the method of Boscovich, exploring its interpretation as a variant of the simplex algorithm for linear programming applied to problems of that form.
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Notes
A contradictory view was held by the aforementioned Cassini who claimed that the earth has the shape of a prolate spheroid, i.e., is flatter at the equator than at the poles. The controversy over this issue, which lasted for decades, was settled in Newton’s favor.
In the language of earlier centuries, the word “nothing” is used in place of “zero.”
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Cottle, R.W. On “Pre-historic” Linear Programming and the Figure of the Earth. J Optim Theory Appl 175, 255–277 (2017). https://doi.org/10.1007/s10957-017-1165-5
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DOI: https://doi.org/10.1007/s10957-017-1165-5