✨Gurobi Japan、日本オペレーションズ・リサーチ学会2026年春季大会で「実施賞」を受賞✨
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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

Uno's success story #1 (by @franckgaga.bsky.social) on the inverted pendulum case study 🎉

Uno unifies SQP and barrier methods in a highly customizable framework. Try it out!
github.com/cvanaret/Uno

#optimization #mathematicaloptimization #mpc #modelpredictivecontrol #julialang #oss #foss #ipopt

(PDF) Implementing a unified solver for nonlinearly constrained optimization PDF | SQP and interior-point methods (also referred to as Lagrange-Newton methods) typically share key algorithmic components, such as strategies for... | Find, read and cite all the research you need...

Just submitted the revision of the Uno paper 😎
www.researchgate.net/publication/...
We describe a unifying framework for #SQP and #barrier methods with 8 common ingredients, and introduce the Uno solver.
Feedback welcome!
#optimization #oss #foss #mathematicaloptimization #nonlinearprogramming #cpp

Sponsor @cvanaret on GitHub Sponsors Support the development of the open-source optimization solver Uno. Uno is a unified SQP & barrier solver for nonlinearly constrained optimization, available in C, C++, Julia, Python and Fortran

Become a GitHub Sponsor to support the open-source development of Uno!
github.com/sponsors/cva...
Uno is a unified SQP & barrier solver for nonlinear optimization

#optimization #mathematicaloptimization #cpp #julialang #python #fortran #oss #foss #mathematicalprogramming #nonlinearprogramming

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 🤩
- 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

See you in two hours!

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Mission-Critical: Why Optimization Experts Are Today’s Business MVPs - Gurobi Optimization Discover why optimization expertise is in high demand and learn how you can enhance your own skills.

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Report: State of Mathematical Optimization in Data Science 2024 - Gurobi Optimization Discover the latest trends shaping the data science field and explore the increasingly influential role of mathematical optimization.

How do data scientists stay ahead in a fast-moving field? Our new State of Mathematical Optimization in Data Science report reveals key trends. Get the full report: www.gurobi.com/resources/re...
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Optimization can transform businesses - but how do you convince executives to invest? Discover 5 practical steps to communicate the value of optimization and secure stakeholder support in our latest blog: www.gurobi.com/resources/5-...

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