Interior point SQP strategies for structured process optimization problems

Computers and Chemical Engineering

Volumn 21, Issue SUPPL.1, 1997, Pages

  Albuquerque, João S ^a   Gopal, Vipin ^a   Staus, George H ^a   Biegler, Lorenz T ^a   Ydstie, B Erik ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0003240412     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0098-1354(97)87609-0     Document Type: Article

References (10)

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3. BIEGLER, L. T., J. NOCEDAL AND C. SCHMID, A Reduced Hessian Method for Large-Scale Constrained Optimization, SIAM J. Optimization, 5, p. 314 (1995)
4. DOWNS, J.J. AND E.F. VOGEL, A Plant-Wide Industrial Process Control Problem, Computers Chem. Eng., Vol 17(3), p. 245-255 (1993)
5. KARMARKAR N., A new polynomial time algorithm for linear programming, Combinatorica, 4, p. 373 (1984)
6. KYRIAKOPOULOU, D. AND B. KALITVENTZEFF, Validation of measurement data using and interior point SQP, Comp. Chem. Engr., 20S-A, p. 563 (1996)
7. MEHROTRA, S., Quadratic convergence in a primal dual method, Math. Oper. Res., 15, p. 741 (1993)
8. MORALES, R., AND R. SARGENT, Numerical experiments with an interior point method for large scale convex quadratic programming, 4th SIAM meeting on optimization, Chicago (1992)
9. RICKER,N.L., J.H. LEE, Nonlinear Modeling and State Estimation for the Tennessee Eastman Challenge Process, Computers Chem. Engr., Vol 19, p. 961 (1995)
10. WRIGHT, S., Primal-Dual Interior Point Methods, to be published by SIAM (1996)