# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "CVXR" in publications use:' type: software license: Apache-2.0 title: 'CVXR: Disciplined Convex Optimization' version: 1.0-14 doi: 10.18637/jss.v094.i14 identifiers: - type: doi value: 10.32614/CRAN.package.CVXR - type: url value: https://www.cvxgrp.org/CVXR/ abstract: An object-oriented modeling language for disciplined convex programming (DCP) as described in Fu, Narasimhan, and Boyd (2020, ). It allows the user to formulate convex optimization problems in a natural way following mathematical convention and DCP rules. The system analyzes the problem, verifies its convexity, converts it into a canonical form, and hands it off to an appropriate solver to obtain the solution. Interfaces to solvers on CRAN and elsewhere are provided, both commercial and open source. authors: - family-names: Fu given-names: Anqi email: anqif@alumni.stanford.edu - family-names: Narasimhan given-names: Balasubramanian email: naras@stat.stanford.edu - family-names: Kang given-names: David W email: Dkang9503@gmail.com - family-names: Diamond given-names: Steven email: stevend2@stanford.edu - family-names: Miller given-names: John email: miller_john@berkeley.edu preferred-citation: type: article title: 'CVXR: An R Package for Disciplined Convex Optimization' authors: - family-names: Fu given-names: Anqi email: anqif@stanford.edu - family-names: Narasimhan given-names: Balasubramanian email: naras@stanford.edu - family-names: Boyd given-names: Stephen email: boyd@stanford.edu journal: Journal of Statistical Software year: '2020' volume: '94' issue: '14' doi: 10.18637/jss.v094.i14 start: '1' end: '34' repository: https://CRAN.R-project.org/package=CVXR repository-code: https://github.com/cvxgrp/CVXR url: https://cvxr.rbind.io date-released: '2024-06-27' contact: - family-names: Fu given-names: Anqi email: anqif@alumni.stanford.edu