Separation process optimization calculations

DOI10.1016/0168-9274(87)90030-4zbMath0638.90088OpenAlexW2030174933WikidataQ126817300 ScholiaQ126817300MaRDI QIDQ1099788

Ashwani Kumar, Angelo Lucia

Publication date: 1987

Published in: Applied Numerical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0168-9274(87)90030-4

zbMATH Keywords

Lagrangian functionsuccessive quadratic programminghybrid methodHessian matrixthermodynamic constraintsquasi- Newton approximationsseparation process optimization

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Quadratic programming (90C20) Newton-type methods (49M15) Numerical methods based on nonlinear programming (49M37)

Uses Software

• HSL
• ve08

Cites Work

• The nonlinear programming method of Wilson, Han, and Powell with an augmented Lagrangian type line search function. I. Convergence analysis
• A globally convergent method for nonlinear programming
• Least Change Secant Updates for Quasi-Newton Methods
• A New Algorithm for Unconstrained Optimization
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