Dear useRs, We are happy to announce the release of CVXR 1.8.1 on CRAN, unleashing the full power of convex optimization for R users. Version 1.8.1 is a ground-up rewrite using S7 classes and establishes parity with CVXPY 1.8.1, except for some esoteric atoms that are rarely needed. We support four open source solvers (osqp, clarabel, scs and highs) out of the box; additional solvers, open source and commercial, are also supported. CVXR also supports Disciplined Parametric Programming (DPP), Disciplined Geometric Programming (DGP) and DQCP (Disciplined Quasiconvex Programming). We also note that people are often surprised to hear that one can formulate Integer Programming problems with CVXR. The full list of features is large, so please consult the website https://cvxr.rbind.io for what's new, migration guide, and a number of examples. A totally new feature in CVXR is visualization: see `?visualize` and examples on the website. A related talk regarding the development of this new version may be of interest. Slides and video at https://naras.su.domains/blog/ (Slide 25 for TL;DR.) We welcome your feedback and issues on Github: https://github.com/cvxgrp/CVXR Thank you. Anqi Fu and Balasubramanian Narasimhan _______________________________________________ R-packages mailing list R-packages at r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages
CVXR v1.8.1: A completely new rewrite for Convex Programming in R
1 message · Marc Schwartz via R-packages