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Two methods for large-scale nonlinear optimization and their comparison on a case study of hydropower optimization

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Publication:1331085
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DOI10.1007/BF02191662zbMath0819.90091OpenAlexW2066792530MaRDI QIDQ1331085

V. Pereyra

Publication date: 5 September 1995

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02191662

zbMATH Keywords

decompositionsequential quadratic programminghydropower systemstructured large-scale problems


Mathematics Subject Classification ID

Large-scale problems in mathematical programming (90C06) Applications of mathematical programming (90C90) Nonlinear programming (90C30) Quadratic programming (90C20)


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Interactive dynamic optimization server – connecting one modelling language with many solvers, Application of interior-point methods to model predictive control, Object Library of Algorithms for Dynamic Optimization Problems: Benchmarking SQP and Nonlinear Interior Point Methods



Cites Work

  • Unnamed Item
  • Optimization of hydropower systems operation with a quadratic model
  • Nonlinear programming codes. Information, tests, performance
  • New dual-type decomposition algorithm for non-convex separable optimization problems
  • Projected Newton Methods for Optimization Problems with Simple Constraints
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