#filterSQP
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cvanaret.bsky.social
𝐔𝐧𝐨𝐒𝐨𝐥𝐯𝐞𝐫.𝐣𝐥 now a registered Julia package 🥳
Uno is a highly customizable #SQP and #barrier solver for nonlinearly constrained optimization. It can mimic #filterSQP (SQP method) and #IPOPT (barrier method)
👉 github.com/cvanaret/Uno
#optimization #numericaloptimization #julialang #oss #foss #cpp
October 30, 2025 at 2:37 PM
cvanaret.bsky.social
Uno's success story #2 (by Fredrik Bagge Carlson)🔥

Uno's filtersqp preset is particularly robust on mid-size problems. Try it out! github.com/cvanaret/Uno

#optimization #mathematicaloptimization #mathematicalprogramming #sqp #barrier #oss #foss #ipopt #mpc #modelpredictivecontrol #cpp #julialang
November 20, 2025 at 1:25 PM
cvanaret.bsky.social
My nonconvex #optimization solver Uno (#SQP + #barrier) has reached floor(100𝝿) ⭐ on Github
Assembles building blocks (such as computation of descent directions and globalization techniques) effortlessly
github.com/cvanaret/Uno
#foss #operationsresearch #numericaloptimization #cpp #IPOPT #filterSQP
March 10, 2025 at 8:35 PM
cranberriesfeed.bsky.social
New CRAN package Uno with initial version 2.7.3
#rstats
https://cran.r-project.org/package=Uno
CRAN: Package Uno
Bindings to 'Uno' (Unifying Nonlinear Optimization), a C++ solver for smooth nonlinearly constrained optimization. 'Uno' unifies Lagrange-Newton methods, including sequential quadratic programming and interior-point methods, by decomposing them into interacting building blocks (constraint-relaxation, inequality-handling, Hessian, and globalization strategies) that can be freely combined, either through options or through presets that reproduce established solvers such as 'filterSQP' and 'IPOPT'. The framework is described in Vanaret and Leyffer (2024) &lt;<a href="https://doi.org/10.48550%2FarXiv.2406.13454" target="_top">doi:10.48550/arXiv.2406.13454</a>&gt;.
cran.r-project.org
June 8, 2026 at 8:02 PM
cranupdates.bsky.social
New on CRAN: Uno (2.7.3). View at https://CRAN.R-project.org/package=Uno
Uno: R Interface to the 'Uno' Nonlinear Optimization Solver
Bindings to 'Uno' (Unifying Nonlinear Optimization), a C++ solver for smooth nonlinearly constrained optimization. 'Uno' unifies Lagrange-Newton methods, including sequential quadratic programming and interior-point methods, by decomposing them into interacting building blocks (constraint-relaxation, inequality-handling, Hessian, and globalization strategies) that can be freely combined, either through options or through presets that reproduce established solvers such as 'filterSQP' and 'IPOPT'. The framework is described in Vanaret and Leyffer (2024) &lt;<a href="https://doi.org/10.48550%2FarXiv.2406.13454" target="_top">doi:10.48550/arXiv.2406.13454</a>&gt;.
CRAN.R-project.org
June 8, 2026 at 10:22 PM