Package: Rsolnp 2.0.1

Alexios Galanos

Rsolnp: General Non-Linear Optimization

General Non-linear Optimization Using Augmented Lagrange Multiplier Method.

Authors:Alexios Galanos [aut, cre, cph], Stefan Theussl [ctb], Yinyu Ye [aut]

Rsolnp_2.0.1.tar.gz
Rsolnp_2.0.1.zip(r-4.7-x86_64)Rsolnp_2.0.1.zip(r-4.7-arm64)Rsolnp_2.0.1.zip(r-4.6-x86_64)Rsolnp_2.0.1.zip(r-4.6-arm64)
Rsolnp_2.0.1.tar.gz(r-4.7-arm64)Rsolnp_2.0.1.tar.gz(r-4.7-x86_64)Rsolnp_2.0.1.tar.gz(r-4.6-arm64)Rsolnp_2.0.1.tar.gz(r-4.6-x86_64)
Rsolnp_2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
Rsolnp/json (API)

# Install 'Rsolnp' in R:
install.packages('Rsolnp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

7.72 score 2 stars 123 packages 1 scripts 51k downloads 7 mentions 9 exports 11 dependencies

Last updated from:85670ff3e9. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK118
linux-devel-x86_64OK267
source / vignettesOK238
linux-release-arm64OK120
linux-release-x86_64OK179
windows-devel-arm64OK222
windows-devel-x86_64OK146
windows-release-arm64OK239
windows-release-x86_64OK141
wasm-releaseOK103

Exports:csolnpcsolnp_msgosolnpkkt_diagnosesolnpsolnp_problem_suitesolnp_problems_tablesolnp_standardize_problemstartpars

Dependencies:codetoolsdigestfuturefuture.applyglobalslistenvnumDerivparallellyRcppRcppArmadillotruncnorm

SOLNP Test Suite
Introduction | Usage
Rendered fromtest_suite.Rmdusingknitr::rmarkdown

Last update: 2025-06-30
Started: 2025-06-30

Introduction to SOLNP ver 2.0.0
Introduction | Problem Statement | Inequalities | Slack Variable Embedding | Optimization via Augmented Lagrangian | No Stationarity-Based KKT Step | Why Higher Tolerances Are Not Preferred | C++ Version | Multi-Start Solver | Test Suite | Differences with full Active-Set/SQP solvers | Conclusion | References
Rendered fromintroduction.Rmdusingknitr::rmarkdown

Last update: 2025-06-20
Started: 2025-06-20