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… Mehr…
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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… Mehr…
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.… Mehr…
2010
ISBN: 9781441919106
Taschenbuch
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… Mehr…
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… Mehr…
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… Mehr…
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Detailangaben zum Buch - Optimization
EAN (ISBN-13): 9781441919106
ISBN (ISBN-10): 1441919104
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Springer-Verlag GmbH
272 Seiten
Gewicht: 0,415 kg
Sprache: eng/Englisch
Buch in der Datenbank seit 2011-02-12T14:05:03+01:00 (Vienna)
Detailseite zuletzt geändert am 2018-11-10T01:26:04+01:00 (Vienna)
ISBN/EAN: 1441919104
ISBN - alternative Schreibweisen:
1-4419-1910-4, 978-1-4419-1910-6
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: lange
Titel des Buches: optimization
Daten vom Verlag:
Autor/in: Kenneth Lange
Titel: Springer Texts in Statistics; Optimization
Verlag: Springer; Springer US
255 Seiten
Erscheinungsjahr: 2010-11-29
New York; NY; US
Gewicht: 0,850 kg
Sprache: Englisch
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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