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June 12, 2026Mathematical Programming ComputationOpen Access

Implementing a unified solver for nonlinearly constrained optimization

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Authors

CVCharlie VanaretÉcole Nationale de l’Aviation CivileSLSven LeyfferArgonne National Laboratory

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Implication

Randomized trial implements a novel solver for nonlinear optimization problems, suggesting enhanced efficiency in strategy combinations.

Key Points

  • The aim is to create a unified framework for nonlinear optimization methods to streamline the solver development process.
  • Developed a modular C solver called Uno based on eight algorithmic building blocks.
  • Organized optimization methods into a coherent hierarchy to enhance usability and strategy comparison.
  • Enabled user customization for advanced optimization challenges without extensive programming.
  • Uno demonstrated competitive performance on 429 small problems from the CUTE collection compared to established solvers like IPOPT and SNOPT.
  • Showed significant efficiency in combining various optimization strategies without compromising solution quality.

Cite This Study

Vanaret et al. (2026) studied this question.

synapsesocial.com/papers/6a2ba31a8101cf8926f01e2fhttps://doi.org/10.1007/s12532-026-00310-9
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Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1CUTE1995 · 744 citations
  2. 2Infeasibility Detection and SQP Methods for Nonlinear Optimization2010 · 84 citations
  3. 3Interior Methods for Mathematical Programs with Complementarity Constraints2006 · 193 citations
  4. 4Global Convergence of a Trust-Region SQP-Filter Algorithm for General Nonlinear Programming2002 · 274 citations