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
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