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… mais…
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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… mais…
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.… mais…
2010
ISBN: 9781441919106
Livro de bolso
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… mais…
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… mais…
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… mais…
Dados bibliográficos do melhor livro correspondente
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Dados detalhados do livro - Optimization
EAN (ISBN-13): 9781441919106
ISBN (ISBN-10): 1441919104
Livro de bolso
Ano de publicação: 2010
Editor/Editora: Springer-Verlag GmbH
272 Páginas
Peso: 0,415 kg
Língua: eng/Englisch
Livro na base de dados desde 2011-02-12T13:05:03+00:00 (Lisbon)
Página de detalhes modificada pela última vez em 2018-11-10T00:26:04+00:00 (Lisbon)
Número ISBN/EAN: 1441919104
Número ISBN - Ortografia alternativa:
1-4419-1910-4, 978-1-4419-1910-6
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: lange
Título do livro: optimization
Dados da editora
Autor: Kenneth Lange
Título: Springer Texts in Statistics; Optimization
Editora: Springer; Springer US
255 Páginas
Ano de publicação: 2010-11-29
New York; NY; US
Peso: 0,850 kg
Língua: Inglês
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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