Branch-and-Bound Applications in Combinatorial Data Analysis

Name: Branch-and-Bound Applications in Combinatorial Data Analysis
Brand: Springer-Verlag New York Inc.
SKU: 9780387250373
Price: 514.29 PLN
Availability: InStock

Autor: Michael Brusco

Język:

Oprawa: Twarda

Wydawca: Springer-Verlag New York Inc.

Dostępność: Dostępna u dostawcy w małych ilościach

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There are a variety of combinatorial optimization problems that are relevant to the examination of s...

Informacje o książce

Autor

Michael Brusco

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2005

strony

222

EAN

9780387250373

ISBN

0387250379

Enbook ID

04066795

Wydawca

Springer-Verlag New York Inc.

Waga

1120

Wymiary

155 x 235 x 18

Pełny opis

There are a variety of combinatorial optimization problems that are relevant to the examination of statistical data. Combinatorial problems arise in the clustering of a collection of objects, the seriation (sequencing or ordering) of objects, and the selection of variables for subsequent multivariate statistical analysis such as regression. The options for choosing a solution strategy in combinatorial data analysis can be overwhelming. Because some problems are too large or intractable for an optimal solution strategy, many researchers develop an over-reliance on heuristic methods to solve all combinatorial problems. However, with increasingly accessible computer power and ever-improving methodologies, optimal solution strategies have gained popularity for their ability to reduce unnecessary uncertainty. In this monograph, optimality is attained for nontrivially sized problems via the branch-and-bound paradigm.For many combinatorial problems, branch-and-bound approaches have been proposed and/or developed. However, until now, there has not been a single resource in statistical data analysis to summarize and illustrate available methods for applying the branch-and-bound process. This monograph provides clear explanatory text, illustrative mathematics and algorithms, demonstrations of the iterative process, psuedocode, and well-developed examples for applications of the branch-and-bound paradigm to important problems in combinatorial data analysis. Supplementary material, such as computer programs, are provided on the world wide web.Dr. Brusco is a Professor of Marketing and Operations Research at Florida State University, an editorial board member for the Journal of Classification, and a member of the Board of Directors for the Classification Society of North America. Stephanie Stahl is an author and researcher with years of experience in writing, editing, and quantitative psychology research.

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