On the Performance of SQP Methods for Nonlinear Optimization

2015 ◽  
pp. 95-123 ◽  
Author(s):  
Philip E. Gill ◽  
Michael A. Saunders ◽  
Elizabeth Wong
Keyword(s):  
Nonlinear Optimization ◽  
Sqp Methods

Infeasibility Detection and SQP Methods for Nonlinear Optimization

2010 ◽  
Vol 20 (5) ◽  
pp. 2281-2299 ◽  
Author(s):  
Richard H. Byrd ◽  
Frank E. Curtis ◽  
Jorge Nocedal
Keyword(s):  
Nonlinear Optimization ◽  
Sqp Methods ◽  
Infeasibility Detection

Partially reduced sqp methods for large-scale nonlinear optimization problems

1997 ◽  
Vol 30 (8) ◽  
pp. 4723-4734 ◽  
Author(s):  
Volker Schulz ◽  
Hans Georg Book
Keyword(s):  
Nonlinear Optimization ◽  
Large Scale ◽  
Optimization Problems ◽  
Sqp Methods

Developing and Understanding Methods for Large Scale Nonlinear Optimization

2001 ◽  
Author(s):  
Robert B. Schnabel ◽  
Richard H. Byrd
Keyword(s):  
Nonlinear Optimization ◽  
Large Scale

Nonlinear Optimization

2011 ◽  
Author(s):  
Andrzej Ruszczyński
Keyword(s):  
Nonlinear Optimization

Nonlinear and Mixed-Integer Optimization

1995 ◽  
Author(s):  
Christodoulos A. Floudas
Keyword(s):  
Nonlinear Optimization ◽  
Systems Engineering ◽  
Chemical Engineering ◽  
Applied Mathematics ◽  
Linear Optimization ◽  
Mixed Integer ◽  
Process Synthesis ◽  
Synthesis Process ◽  
Integer Optimization ◽  
Mixed Integer Optimization

Filling a void in chemical engineering and optimization literature, this book presents the theory and methods for nonlinear and mixed-integer optimization, and their applications in the important area of process synthesis. Other topics include modeling issues in process synthesis, and optimization-based approaches in the synthesis of heat recovery systems, distillation-based systems, and reactor-based systems. The basics of convex analysis and nonlinear optimization are also covered and the elementary concepts of mixed-integer linear optimization are introduced. All chapters have several illustrations and geometrical interpretations of the material as well as suggested problems. Nonlinear and Mixed-Integer Optimization will prove to be an invaluable source--either as a textbook or a reference--for researchers and graduate students interested in continuous and discrete nonlinear optimization issues in engineering design, process synthesis, process operations, applied mathematics, operations research, industrial management, and systems engineering.

scholarly journals A Practical Algorithm for General Large Scale Nonlinear Optimization Problems

1999 ◽  
Vol 9 (3) ◽  
pp. 755-778 ◽  
Author(s):  
Paul T. Boggs ◽  
Anthony J. Kearsley ◽  
Jon W. Tolle
Keyword(s):  
Nonlinear Optimization ◽  
Large Scale ◽  
Optimization Problems ◽  
Practical Algorithm
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