Buch, Englisch, 1160 Seiten, Format (B × H): 178 mm x 235 mm, Gewicht: 1694 g
Buch, Englisch, 1160 Seiten, Format (B × H): 178 mm x 235 mm, Gewicht: 1694 g
ISBN: 978-1-292-73609-9
Verlag: Pearson Education Limited
uses a balanced combination of theory, applications and computations to help you learn the basics of operating research (OR). It focuses on algorithmic and practical implementation of OR techniques. Easy-to-understand numerical examples explain often difficult math concepts, helping you grasp the foundational idea without getting stuck on complex theorems or notations. Full case studies and math-free anecdotes show how algorithms are used in real-life applications.
The 11th Edition introduces analytics, artificial intelligence, and machine learning topics that strengthen and streamline the decision-making processes involved in OR. New stories, 3 new chapters, new case studies and sections provide an up-to-date introduction to the field of OR.
Autoren/Hrsg.
Weitere Infos & Material
Overview of Operations Research, Analytics, and AI in Decision MakingModeling with Linear ProgrammingThe Simplex Method and Sensitivity AnalysisDuality and Post-Optimal AnalysisTransportation Model and Its VariantsNetwork ModelsAdvanced Linear ProgrammingStochastic Linear ProgrammingInteger Linear ProgrammingHeuristic and Constraint ProgrammingTraveling Salesperson Problem (TSP)Dynamic Programming (DP)Inventory ModelingYield Management (YM)Decision Analysis and GamesMarkov ChainsMarkovian Decision ProcessQueuing SystemsDiscrete Event and Monte Carlo SimulationsClassical Optimization TheoryNonlinear Programming AlgorithmsCase AnalysisAppendicesStatistical TablesPartial Answers to Selected ProblemsAMPL Modeling LanguageReview of Vectors and MatricesReview of Basic ProbabilityForecasting Models
