Produktbild: Convex Analysis and Global Optimization
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Convex Analysis and Global Optimization

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.06.2018

Abbildungen

XVI, 505 p. 36 illus.

Verlag

Springer

Seitenzahl

505

Maße (L/B/H)

23,5/15,5/2,9 cm

Gewicht

785 g

Auflage

Softcover reprint of the original 2nd ed. 2016

Sprache

Englisch

ISBN

978-3-319-81049-2

Beschreibung

Rezension

“This is a very pleasant text on global optimization problems, concentrating on those problems that have some kind of convexity property. It describes itself as a Ph.D. level text, but in fact it is easy to read and develops all the necessary background, so it could be used by any sufficiently-motivated student. … Each chapter has a good selection of problems, both proof problems and specific problems to optimize.” (Allen Stenger, MAA Reviews, July, 2017)

“This reviewer believes that the book can be recommended not only to researchers but also to graduate students ... and even practioners, who can identify problems arising from various fields among those dealt with in the book.”  (Sorin-Mihai Grad,Mathematical Reviews, June, 2017)

“The book is a well-prepared exposition of the state-of-the-art of the theory and algorithms in the area of modern global optimization. … a good choice if one needs a textbook for graduate or PhD course. It would be also suitable for engineers and other practitionners that would like to better understand the algorithms that they use.” (Marcin Anholcer, zbMATH 1362.90001, 2017)






Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.06.2018

Abbildungen

XVI, 505 p. 36 illus.

Verlag

Springer

Seitenzahl

505

Maße (L/B/H)

23,5/15,5/2,9 cm

Gewicht

785 g

Auflage

Softcover reprint of the original 2nd ed. 2016

Sprache

Englisch

ISBN

978-3-319-81049-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Convex Analysis and Global Optimization
  • 1. Convex Sets.- 2. Convex Functions.- 3. Fixed Point and Equilibrium.- 4. DC Functions and DC Sets.- 5. Motivation and Overview.- 6. General Methods.- 7. DC Optimization Problems.- 8. Special Methods.- 9. Parametric Decomposition.- 10. Nonconvex Quadratic Programming.- 11. Monotonic Optimization.- 12. Polynomial Optimization.- 13. Optimization Under Equilibrium Constraints.- References.- Index.