ISBN: 9781441919106
Finite-dimensional optimization problems occur throughout the mathematical sciences. The majority of these problems cannot be solved analytically. This introduction to optimization attemp… Plus…
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ISBN: 9781441919106
Finite-dimensional optimization problems occur throughout the mathematical sciences. The majority of these problems cannot be solved analytically. This introduction to optimization attemp… Plus…
2010, ISBN: 9781441919106
[ED: Softcover], [PU: Springer, Berlin], Finite-dimensional optimization problems occur throughout the mathematical sciences. The majority of these problems cannot be solved analytically.… Plus…
2010
ISBN: 9781441919106
Livres de poche
Softcover, Softcover ^^ International Edition ^^, New book, Fast Shipping, Black and White Print, Identical Content as compare to US Edition, ISBN or Book Cover may Differ. USPS media Mai… Plus…
ISBN: 1441919104
[EAN: 9781441919106], Neubuch, New, Softcover International Edition, Printed in Black and White, Only USPS Media mail Shipping ONLY, Different ISBN, Same Content As US edition, Book Cover… Plus…
ISBN: 9781441919106
New Item, Softcover International Edition, Have same content as US Edition. ISBN And Book cover may be different. Not a Used Book, Book Language:English. Printed in Black and White. Exc… Plus…
Données bibliographiques du meilleur livre correspondant
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Informations détaillées sur le livre - Optimization
EAN (ISBN-13): 9781441919106
ISBN (ISBN-10): 1441919104
Livre de poche
Date de parution: 2010
Editeur: Springer-Verlag GmbH
272 Pages
Poids: 0,415 kg
Langue: eng/Englisch
Livre dans la base de données depuis 2011-02-12T14:05:03+01:00 (Paris)
Page de détail modifiée en dernier sur 2018-11-10T01:26:04+01:00 (Paris)
ISBN/EAN: 9781441919106
ISBN - Autres types d'écriture:
1-4419-1910-4, 978-1-4419-1910-6
Autres types d'écriture et termes associés:
Auteur du livre: lange
Titre du livre: optimization
Données de l'éditeur
Auteur: Kenneth Lange
Titre: Springer Texts in Statistics; Optimization
Editeur: Springer; Springer US
255 Pages
Date de parution: 2010-11-29
New York; NY; US
Poids: 0,850 kg
Langue: Anglais
80,20 € (DE)
82,45 € (AT)
116,61 CHF (CH)
Not available, publisher indicates OP
BC; Previously published in hardcover; Hardcover, Softcover / Mathematik/Sonstiges; Optimierung; Random variable; linear optimization; algorithms; Excel; linear algebra; optimization; Analysis; nonlinear optimization; modeling; Statistical Methods; expectation–maximization algorithm; Stochastic Processes; A; Optimization; Mathematics and Statistics; Statistical Theory and Methods; Operations Research/Decision Theory; Wahrscheinlichkeitsrechnung und Statistik; Unternehmensforschung; Management: Entscheidungstheorie; BB
1 Elementary Optimization.- 2 The Seven C’s of Analysis.- 3 Differentiation.- 4 Karush-Kuhn-Tucker Theory.- 5 Convexity.- 6 The MM Algorithm.- 7 The EM Algorithm.- 8 Newton’s Method.- 9 Conjugate Gradient and Quasi-Newton.- 10 Analysis of Convergence.- 11 Convex Programming.- Appendix: The Normal Distribution.- A.1 Univariate Normal Random Variables.- A.2 Multivariate Normal Random Vectors.- References.This introduction to optimization attempts to strike a balance between presentation of mathematical theory and development of numerical algorithms. Building on students’ skills in calculus and linear algebra, the text provides a rigorous exposition without undue abstraction and can serve as a bridge to more advanced treatises on nonlinear and convex programming. The emphasis on statistical applications will be especially appealing to graduate students of statistics and biostatistics. The intended audience also includes graduate students in applied mathematics, computational biology, computer science, economics, and physics as well as upper division undergraduate majors in mathematics who want to see rigorous mathematics combined with real applications.
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