Numerical optimization in R: Beyond optim

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


Numerical optimization is often an essential aspect of mathematical analysis in science, technology and other areas. The function optim() provides basic optimization capabilities and is among the most widely used functions in R. Additionally, there are various packages and functions for solving various types of optimization problem (the optimization task view on Comprehensive R Archive Network provides a comprehensive list of available options for solving optimization problems in R). In this special volume, four papers are presented which discuss some of the areas in numerical optimization where significant developments have been made recently to enhance the capabilities in R. This introduction provides a brief overview of the volume.

Original languageEnglish (US)
Pages (from-to)1-3
Number of pages3
JournalJournal of Statistical Software
Issue number1
StatePublished - Sep 1 2014


  • Constraints
  • Convex programming
  • Global optimization
  • Optimization algorithms
  • Spectral gradient

ASJC Scopus subject areas

  • Software
  • Statistics and Probability
  • Statistics, Probability and Uncertainty


Dive into the research topics of 'Numerical optimization in R: Beyond optim'. Together they form a unique fingerprint.

Cite this