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

Logfiles are at: plato.asu.edu/ftp/ampl-nlp_logs/

Uno v2.9.0 implements substantial improvements to the barrier method. As of Sept 9, 2026, Uno can solve 45/47 instances on the Mittelmann benchmark, in about the same time as IPOPT. Features Secon...

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SQP and interior-point methods (also referred to as Lagrange-Newton methods) typically share key algorithmic components, such as strategies for computing descent directions and mechanisms that promote...

With Uno, finally take full control of your SQP/barrier solver for nonlinearly constrained optimization - cvanaret/Uno

Uno v2.6.0 implements the following: Features Interior-point methods with L-BFGS Hessian (#616) the combination inequality_handling_method="interior_point" and hessian_model="LBFGS" is now active...

With Uno, finally take full control of your SQP/barrier solver for nonlinearly constrained optimization - cvanaret/Uno

The 26th International Symposium on Mathematical Programming will be held in Amsterdam, The Netherlands, from July 25th through July 30th, 2027. The event is the symposium of the Mathematical Optimization Society (MOS).

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

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...

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

A next-gen SQP & barrier solver for nonlinearly constrained optimization - cvanaret/Uno

A next-gen SQP & barrier solver for nonlinearly constrained optimization - cvanaret/Uno

PDF | Derivative-based iterative methods for nonlinearly constrained nonconvex optimization usually share common algorithmic components, such as... | Find, read and cite all the research you need on R...

PDF | Derivative-based iterative methods for nonlinearly constrained nonconvex optimization usually share common algorithmic components, such as... | Find, read and cite all the research you need on R...

Uno v2.0.0 implements the following changes: Features Abstract framework The underlying abstract framework was refined and is now more powerful. Uno now implements 8 ingredients: constraint relaxa...

A next-gen SQP & barrier solver for nonlinearly constrained optimization - cvanaret/Uno

A next-gen SQP & barrier solver for nonlinearly constrained optimization - cvanaret/Uno

Fast and embedded solvers for nonlinear optimal control and nonlinear model predictive control - acados/acados

Linear optimization software. Contribute to ERGO-Code/HiGHS development by creating an account on GitHub.

View more about this event at ICCOPT2025USC

A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust regio...

A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust regio...