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: RAIRO, Revue Française D'automatique, D'informatique Et de Recherche Opérationnelle
Author: RAIRO
Author: Revue française d'automatique, informatique, recherche opérationnelle
Author: Publisher:
ISBN:
Category : Electronic data processing
Languages : fr
Pages : 510
Book Description
Revue Française D'automatique, Informatique Et Recherche Opérationnelle
Author: Decision & Control in Management Science
Author: Georges ZaccourPublisher: Springer Science & Business Media
ISBN: 1475735618
Category : Business & Economics
Languages : en
Pages : 419
Book Description
Decision & Control in Management Science analyzes emerging decision problems in the management and engineering sciences. It is divided into five parts. The first part explores methodological issues involved in the optimization of deterministic and stochastic dynamical systems. The second part describes approaches to the model energy and environmental systems and draws policy implications related to the mitigation of pollutants. The third part applies quantitative techniques to problems in finance and economics, such as hedging of options, inflation targeting, and equilibrium asset pricing. The fourth part considers a series of problems in production systems. Optimization methods are put forward to provide optimal policies in areas such as inventory management, transfer-line, flow-shop and other industrial problems. The last part covers game theory. Chapters range from theoretical issues to applications in politics and interactions in franchising systems. Decision & Control in Management Science is an excellent reference covering methodological issues and applications in operations research, optimal control, and dynamic games.
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
Nuclear Science Abstracts
Author: 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.