Salinger, A. G.; Pawlowski, R. P.; Shadid, J. N.; van Bloemen Waanders, B.; Barlett, R.; Itle, G. C.; Biegler, L. Optimization of large-scale reacting flows using MPSalsa and sequential quadratric programming. (English) Zbl 1138.76344 Biegler, Lorenz T. (ed.) et al., Large-scale PDE-constrained optimization. Berlin: Springer (ISBN 3-540-05045-0/pbk). Lect. Notes Comput. Sci. Eng. 30, 45-59 (2003). Summary: An rSQP optimization algorithm has been linked to the MPSalsa parallel reacting flows code. The goal is to develop SAND (Simultaneous Analysis aNd Design) methods for use with large-scale PDE simulations. MPSalsa is a unstructured grid finite element code that uses a fully coupled Newton method to solve the PDEs governing fluid flow, heat transfer, and non-dilute mass transfer. In this paper, we present results for optimization of a Chemical Vapor Deposition reactor for growing thin films of Gallium Nitride. In particular, we address issues of inexactness in the Jacobian matrix and of solution multiplicity.For the entire collection see [Zbl 1021.00015]. MSC: 76D55 Flow control and optimization for incompressible viscous fluids 76V05 Reaction effects in flows 76M10 Finite element methods applied to problems in fluid mechanics 90C20 Quadratic programming Software:MPSalsa PDFBibTeX XMLCite \textit{A. G. Salinger} et al., Lect. Notes Comput. Sci. Eng. 30, 45--59 (2003; Zbl 1138.76344) Full Text: DOI