If you’re considering moving to a role in statistical programming, now is the time to invest in your skills, expand your knowledge beyond SAS and embrace the power of R, Python, AI and ML.

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

IENG.3010 — Online and Continuing Education Id: 041731 Offering: 2 Credits: 3-3 Description This course is concerned with the introduction to the formulation, solution, interpretation, and ...

CSCI 5654: Linear Programming CSCI 5654: Linear Programming Instructor Fall 2016: Sriram Sankaranarayanan Prerequisites Calculus I,II + Algorithms + Linear Algebra. Topics Covered Roughly, we will ...

A full two inches thick and nearly 800 pages long, The Book of R promises to teach you everything you need to be productive in using this language – that includes the basic syntax of the ...

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

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 ...

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 ...