Author: Publisher:
ISBN:
Category : Numerical analysis
Languages : en
Pages : 72
Book Description
Revue française d'automatique, informatique, recherche opérationnelle, sommaire
Author: Revue franc̜aise d'automatique, informatique, recherche operationnelle
Author: Revue française d'automatique, informatique, recherche opérationnelle
Author: Publisher:
ISBN:
Category : Electronic data processing
Languages : fr
Pages : 510
Book Description
RAIRO, Revue française d'automatique, d'informatique et de recherche opérationnelle
Author: Revue française d'automatique, informatique et recherche operationnelle
Author: Augmented Lagrangian Methods
Author: M. FortinPublisher: Elsevier
ISBN: 008087536X
Category : Mathematics
Languages : en
Pages : 361
Book Description
The purpose of this volume is to present the principles of the Augmented Lagrangian Method, together with numerous applications of this method to the numerical solution of boundary-value problems for partial differential equations or inequalities arising in Mathematical Physics, in the Mechanics of Continuous Media and in the Engineering Sciences.
Energy Information Data Base
Author: United States. Department of Energy. Technical Information CenterPublisher:
ISBN:
Category : Periodicals
Languages : en
Pages : 574
Book Description
Nuclear Science Abstracts
Author: Combinatorial Optimization
Author: Alexander SchrijverPublisher: Springer Science & Business Media
ISBN: 9783540443896
Category : Business & Economics
Languages : en
Pages : 2024
Book Description
From the reviews: "About 30 years ago, when I was a student, the first book on combinatorial optimization came out referred to as "the Lawler" simply. I think that now, with this volume Springer has landed a coup: "The Schrijver". The box is offered for less than 90.- EURO, which to my opinion is one of the best deals after the introduction of this currency." OR-Spectrum
Clustering Methodology for Symbolic Data
Author: Lynne BillardPublisher: John Wiley & Sons
ISBN: 0470713933
Category : Mathematics
Languages : en
Pages : 348
Book Description
Covers everything readers need to know about clustering methodology for symbolic data—including new methods and headings—while providing a focus on multi-valued list data, interval data and histogram data This book presents all of the latest developments in the field of clustering methodology for symbolic data—paying special attention to the classification methodology for multi-valued list, interval-valued and histogram-valued data methodology, along with numerous worked examples. The book also offers an expansive discussion of data management techniques showing how to manage the large complex dataset into more manageable datasets ready for analyses. Filled with examples, tables, figures, and case studies, Clustering Methodology for Symbolic Data begins by offering chapters on data management, distance measures, general clustering techniques, partitioning, divisive clustering, and agglomerative and pyramid clustering. Provides new classification methodologies for histogram valued data reaching across many fields in data science Demonstrates how to manage a large complex dataset into manageable datasets ready for analysis Features very large contemporary datasets such as multi-valued list data, interval-valued data, and histogram-valued data Considers classification models by dynamical clustering Features a supporting website hosting relevant data sets Clustering Methodology for Symbolic Data will appeal to practitioners of symbolic data analysis, such as statisticians and economists within the public sectors. It will also be of interest to postgraduate students of, and researchers within, web mining, text mining and bioengineering.