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ROI: The R Optimization Infrastructure Package

Theußl, Stefan and Schwendinger, Florian and Hornik, Kurt (2017) ROI: The R Optimization Infrastructure Package. Research Report Series / Department of Statistics and Mathematics, 133. WU Vienna University of Economics and Business, Vienna.

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Abstract

Optimization plays an important role in many methods routinely used in statistics, machine learning and data science. Often, implementations of these methods rely on highly specialized (non-reusable) optimization algorithms. However, in many instances recent advances, in particular in the field of convex optimization, make it possible to conveniently and straightforwardly use modern solvers (reusable) instead with the advantage of enabling broader usage scenarios and thus promoting reusability. This paper introduces the ROI (R Optimization Infrastructure) package which provides an extensible infrastructure to model linear, quadratic, conic and general nonlinear optimization problems in a consistent way. Furthermore, the infrastructure administers many different solvers, reformulations, problem collections and functions to read and write optimization problems in various formats.

Item Type: Paper
Keywords: optimization, mathematical programming, linear programming, quadratic programming, convex programming, nonlinear programming, mixed integer programming, R
Divisions: Departments > Finance, Accounting and Statistics > Statistics and Mathematics
Depositing User: Florian Schwendinger
Date Deposited: 14 Nov 2017 10:54
Last Modified: 14 Nov 2017 10:54
URI: http://epub.wu.ac.at/id/eprint/5858

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