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The Next Wave in Computing, Optimization, and Decision Technologies

Aus der Reihe Operations Research/Computer Science Interfaces Series
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157,99 € UVP 214,00 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.11.2014

Abbildungen

IX, 396 p.

Herausgeber

Bruce L. Golden + weitere

Verlag

Springer Us

Seitenzahl

396

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

616 g

Sprache

Englisch

ISBN

978-1-4614-9851-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.11.2014

Abbildungen

IX, 396 p.

Herausgeber

Verlag

Springer Us

Seitenzahl

396

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

616 g

Sprache

Englisch

ISBN

978-1-4614-9851-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: The Next Wave in Computing, Optimization, and Decision Technologies
  • Produktbild: The Next Wave in Computing, Optimization, and Decision Technologies
  • Network.- On the Complexity of Delaying an Adversary’s Project.- A Note on Eswaran and Tarjan’s Algorithm for the Strong Connectivity Augmentation Problem.- Integer and Mixed Integer Programming.- Generating Set Partitioning Test Problems with Known Optimal Integer Solutions.- Computational Aspects of Controlled Tabular Adjustment: Algorithm and Analysis.- The Symphony Callable Library for Mixed Integer Programming.- Heuristic Search.- Hybrid Graph Heuristics within a Hyper-Heuristic Approach to Exam Timetabling Problems.- Metaheuristics Comparison for the Minimum Labelling Spanning Tree Problem.- A New Tabu Search Heuristic for the Site-Dependent Vehicle Routing Problem.- A Heuristic Method to Solve the Size Assortment Problem.- Heuristic Methods for Solving Euclidean Non-Uniform Steiner Tree Problems.- Modeling and Solving a Selection and Assignment Problem.- Solving the Time Dependent Traveling Salesman Problem.- The Maximal Multiple-Representation Species Problem Solved Using Heuristic Concentration.- Stochastic Modeling.- Fast and Efficient Model-Based Clustering with the Ascent-EM Algorithm.- Statistical Learning Theory in Equity Return Forecasting.- Sample Path Derivatives for (s, S) Inventory Systems with Price Determination.- Software and Modeling.- Network and Graph Markup Language (NaGML) - Data File Formats.- Software Quality Assurance for Mathematical Modeling Systems.- Model Development and Optimization with Mathematica™.- Verification of Business Process Designs Using Maps.- Alps: A Framework for Implementing Parallel Tree Search Algorithms.- Classification, Clustering, and Ranking.- Tabu Search Enhanced Markov Blanket Classifier for High Dimensional Data Sets.- Dance Music Classification Using Inner Metric Analysis.- Assessing Cluster Quality UsingMultiple Measures - A Decision Tree Based Approach.- Dispersion of Group Judgments.