Optimization problems arising in practice involve random parameters. For the computation of robust optimal solutions, i.e., optimal solutions being insensitive with respect to random parameter variations, deterministic substitute problems are needed. Based on the distribution of the random data,...

Models -- and Examples -- Uncertainty and Modeling Issues -- Basic Properties -- Basic Properties and Theory -- The Value of Information and the Stochastic Solution -- Solution Methods -- Two-Stage Linear Recourse Problems -- Nonlinear Programming Approaches to Two-Stage Recourse Problems --...

Why Do We Simulate? -- Simulation Programming: Quick Start -- Examples -- Simulation Programming with VBASim -- Two Views of Simulation -- Simulation Input -- Simulation Output -- Experiment Design and Analysis -- Simulation for Research -- VBASim

The Handbook of Simulation Optimization presents an overview of the state of the art of simulation optimization, providing a survey of the most well-established approaches for optimizing stochastic simulation models and a sampling of recent research advances in theory and methodology. Leading...

This book provides a comprehensive introduction to modern financial modeling using Excel, VBA, standards of financial modeling and model review. It offers guidance on essential modeling concepts around the four core financial activities in the modern financial industry today: financial...

Dieses fundierte Lehrbuch führt umfassend und praxisrelevant in die statistische Methodenlehre für wirtschaftswissenschaftliche Studiengänge ein. Verfahren der Deskriptiven Statistik, der Explorativen Datenanalyse, der Stochastik, der Induktiven Statistik sowie der Multivariaten Statistik...

Die Bedeutung von Derivaten für Anleger auf Finanzmärkten nimmt zu. Gleichzeitig wird es immer wichtiger, bei der Entscheidung über Kauf und Verkauf derartiger Titel die Unsicherheit der zukünftigen Preisentwicklung zu berücksichtigen. Die Annahmen, die den bei der Analyse derartiger...

This book presents the latest findings on stochastic dynamic programming models and on solving optimal control problems in networks. It includes the authors’ new findings on determining the optimal solution of discrete optimal control problems in networks and on solving game variants of Markov...