Design and Implementation of a Reduced-Space SQP Solver with Column Reordering for Large-Scale Process Optimization

Process industries increasingly face large-scale nonlinear programs with high dimensionality and tight constraints. This study reports on the design and implementation of a reduced-space sequential quadratic programming (RSQP) solver for such settings. The solver couples a column-reordering space-de...

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Veröffentlicht in:	Algorithms Jg. 18; H. 11; S. 699
Hauptverfasser:	Zhao, Chuanlei, Liu, Ao, Jiang, Aipeng, Zheng, Xiaoqing, Wang, Haokun, Zhao, Rui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.11.2025
Schlagworte:	Algorithms Approximation Case studies Coal-fired power plants column reordering Constraints Decomposition Design Efficiency large-scale nonlinear optimization Mathematical models Nonlinear programming Optimization Osmosis Parameter estimation Quadratic programming reduced-space SQP reverse osmosis Solvers sparse matrices Sparsity Variables Water quality China
ISSN:	1999-4893, 1999-4893
Online-Zugang:	Volltext
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