My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...

The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

Standard computer implementations of Dantzig's simplex method for linear programming are based upon forming the inverse of the basic matrix and updating the inverse ...

David French and M. Gessen on why the ends do not justify the means in Venezuela. By David French, M. Gessen, Stephen Stromberg and Derek Arthur The columnist Michelle Goldberg believes Democrats — ...

1 Department of Animal Sciences, University of Florida, Gainesville, FL, United States 2 Department of Animal Science, Iowa State University, Ames, IA, United States Background: To address the ...

Abstract: The rise in private vehicles has led to the rise in the demand for parking, and this demand calls for the need of existing parking areas to be fully optimized in order to accommodate as much ...

Interior point methods (IPMs) are a common approach for solving linear programs (LPs) with strong theoretical guarantees and solid empirical performance. The time complexity of these methods is ...