GitHub - cvanaret/Uno: A next-gen SQP & barrier solver for nonlinearly constrained optimization
A next-gen SQP & barrier solver for nonlinearly constrained optimization - cvanaret/Uno
Try out Uno 2.2.1 with improved C and Julia interfaces! github.com/cvanaret/Uno
Uno is an SQP/barrier solver for nonlinearly constrained optimization. Developed with Sven Leyffer at @zuseinstitute.bsky.social
#optimization #oss #foss #julia #python #cpp #mathematicalprogramming #sqp #barrier
09.10.2025 12:13 β π 2 π 1 π¬ 0 π 0
GitHub - cvanaret/Uno: A next-gen SQP & barrier solver for nonlinearly constrained optimization
A next-gen SQP & barrier solver for nonlinearly constrained optimization - cvanaret/Uno
Uno v2.2.0 is out with C, Julia and Python interfaces π€©
- pure #Julia interfaces to NLPModels.jl and MathOptInterface.jl
- #Python bindings using #pybind11
Developed at @zuseinstitute.bsky.social
#optimization #mathematicaloptimization #numericaloptimization #constrainedoptimization #oss #foss #uno
01.10.2025 13:52 β π 3 π 1 π¬ 0 π 0
See you in two hours!
#optimization #iccopt #mathematicaloptimization #mathematicalprogramming #foss #oss #cpp #julia
22.07.2025 15:45 β π 2 π 0 π¬ 1 π 0
GitHub - cvanaret/Uno: A next-gen SQP & barrier solver for nonlinearly constrained optimization
A next-gen SQP & barrier solver for nonlinearly constrained optimization - cvanaret/Uno
Uno 2.0.0 is out!
Uno is a next-gen SQP/barrier solver for nonlinearly constrained optimization.
Major changes:
- a more powerful unification framework
- BQPD now available as precompiled binaries: github.com/leyffer/BQPD...
- a cool logo
π github.com/cvanaret/Uno/
#optimization #opensource #foss
09.07.2025 11:37 β π 5 π 0 π¬ 1 π 0
Don't miss our #ICCOPT session on Recent advances in open-source continuous solvers!
Filippo Zanetti, David KieΓling and myself will present the HiGHS, acados and Uno solvers, respectively, on July 22 at 10:30am.
#optimization #mathematicalprogramming #unosolver #oss #foss #opensource #cpp #julia
08.07.2025 11:40 β π 5 π 0 π¬ 5 π 0
If you live in Germany, get high-quality prints of the ARKTIS pictures here: www.etsy.com/de/shop/Char...
02.05.2025 14:38 β π 0 π 0 π¬ 0 π 0
@schmaidt.bsky.social in case you're around... ;)
16.04.2025 14:01 β π 1 π 0 π¬ 1 π 0
I'm thrilled to present my landscape photography exhibition ARKTIS at the Mathematics Library of the TU Berlin @tuberlin.bsky.social
Join me for the opening on April 29 at 6pm.
Institut fΓΌr Mathematik, Str. des 17. Juni 136, 10587 Berlin
#photography #landscapephotography #berlin #arctic #arktis
16.04.2025 14:01 β π 15 π 1 π¬ 2 π 1
Bestuzheva, Ksenia, Dr. | zib.de
Ksenia Bestuzheva (SCIP)
www.zib.de/members/best...
19.03.2025 07:51 β π 3 π 0 π¬ 0 π 0
What about Ivet Galabova (HiGHS)?
18.03.2025 18:46 β π 5 π 0 π¬ 1 π 0
My nonconvex #optimization solver Uno (#SQP + #barrier) has reached floor(100πΏ) β 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
10.03.2025 20:35 β π 2 π 0 π¬ 0 π 0
New preprint that wraps up our work in the UNSEEN project (funded by the German BMWi, now @bmwk.de)
@zuseinstitute.bsky.social @tuberlin.bsky.social @dlr-en.bsky.social
#energy #energysystemoptimizationmodeling #esom #unitcommitment #mip #milp #optimization #machinelearning
28.02.2025 10:02 β π 2 π 0 π¬ 0 π 0
Definitely! Here there is no cancellation. I meant that the complex step, compared to other finite difference methods, doesn't produce cancellation (and is second-order).
04.12.2024 12:25 β π 1 π 0 π¬ 0 π 0
That shit is amazing :) However, a single evaluation at x + i*h is required, you shouldn't subtract f(x) there. It avoids catastrophic cancellation.
04.12.2024 12:16 β π 3 π 0 π¬ 1 π 0
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Optimization Scientist | Operations Research and Management Science #orms #optimization
I study algorithms/learning/data applied to democracy/markets/society. Asst. professor at Cornell Tech. https://gargnikhil.com/. Helping building personalized Bluesky research feed: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest
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