Nonlinear Programming 2 (eBook, PDF)

Proceedings of the Special Interest Group on Mathematical Programming Symposium Conducted by the Computer Sciences Department at the University of Wisconsin - Madison, April 15-17, 1974
Redaktion: Mangasarian, O. L.; Robinson, S. M.; Meyer, R. R.

• Format: PDF

Produktbeschreibung

Nonlinear Programming 2 covers the proceedings of the Special Interest Group on Mathematical Programming Symposium conducted by the Computer Sciences Department at the University of Wisconsin, Madison, on April 15-17, 1974.

This book is divided into 13 chapters and begins with a survey of the global and superlinear convergence of a class of algorithms obtained by imposing changing bounds on the variables of the problem. The succeeding chapters deal with the convergence of the well-known reduced gradient method under suitable conditions and a superlinearly convergent quasi-Newton method for unconstrained minimization. These topics are followed by discussion of a superlinearly convergent algorithm for linearly constrained optimization problems and the effective methods for constrained optimization, namely the method of augmented Lagrangians. Other chapters explore a method for handling minimization problems with discontinuous derivatives and the advantages of factorizations of updating for Jacobian-related matrices in minimization problems. The last chapters present the Newton-like methods for the solution of nonlinear equations and inequalities, along with the various aspects of integer programming.

This book will prove useful to mathematicians and computer scientists.

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 372
• Erscheinungstermin: 10. Mai 2014
• Englisch
• ISBN-13: 9781483260419
• Artikelnr.: 42132106