Ron Shamir, Probabilistic Analysis in Linear Programming, Statistical Science, Vol. 8, No. 1, Report from the Committee on Applied and Theoretical Statistics of the National Research Council on ...

Formulate linear and integer programming problems for solving commonly encountered optimization problems. Understand how approximation algorithms compute solutions that are guaranteed to be within ...

In this paper a unified treatment of algorithms is described for linear programming methods based on the central path. This path is a curve along which the cost decreases, and that stays always far ...

Interest in the open source R language keeps rising, making it the candidate for TIOBE's programming language of the year.

IENG.3010 — Undergraduate Id: 041731 Offering: 1 Credits: 3-3 Description This course is concerned with the introduction to the formulation, solution, interpretation, and implementation of ...

The demand for data-driven professionals in healthcare and clinical research continues to grow, making statistical programming a highly rewarding and future-proof role.