Author: Jack P. C. KleijnenPublisher:
ISBN:
Category :
Languages : en
Pages : 32
Book Description
Sensitivity Analysis Op Simulation Experiments
Author: Jack P. C. KleijnenAn Overview of the Design and Analysis of Simulation Experiments for Sensitivity Analysis
Author: Jacobus Petrus Catharinus KleijnenPublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Sensitivity Analysis in Discrete Event Simulation Using Design of Experiments
Author: José Arnaldo BarraPublisher:
ISBN:
Category : Computers
Languages : en
Pages :
Book Description
Sensitivity Analysis in Discrete Event Simulation Using Design of Experiments.
Sensitivity Analysis in Practice
Author: Andrea SaltelliPublisher: John Wiley & Sons
ISBN: 047087094X
Category : Mathematics
Languages : en
Pages : 232
Book Description
Sensitivity analysis should be considered a pre-requisite for statistical model building in any scientific discipline where modelling takes place. For a non-expert, choosing the method of analysis for their model is complex, and depends on a number of factors. This book guides the non-expert through their problem in order to enable them to choose and apply the most appropriate method. It offers a review of the state-of-the-art in sensitivity analysis, and is suitable for a wide range of practitioners. It is focussed on the use of SIMLAB – a widely distributed freely-available sensitivity analysis software package developed by the authors – for solving problems in sensitivity analysis of statistical models. Other key features: Provides an accessible overview of the current most widely used methods for sensitivity analysis. Opens with a detailed worked example to explain the motivation behind the book. Includes a range of examples to help illustrate the concepts discussed. Focuses on implementation of the methods in the software SIMLAB - a freely-available sensitivity analysis software package developed by the authors. Contains a large number of references to sources for further reading. Authored by the leading authorities on sensitivity analysis.
Design and Analysis of Simulation Experiments
Author: Jack P.C. KleijnenPublisher: Springer Science & Business Media
ISBN: 0387718133
Category : Mathematics
Languages : en
Pages : 229
Book Description
Simulation is a widely used methodology in all Applied Science disciplines. This textbook focuses on this crucial phase in the overall process of applying simulation, and includes the best of both classic and modern methods of simulation experimentation. This book will be the standard reference book on the topic for both researchers and sophisticated practitioners, and it will be used as a textbook in courses or seminars focusing on this topic.
Design and Analysis of Simulation Experiments
Author: Jack P.C. KleijnenPublisher: Springer
ISBN: 3319180878
Category : Business & Economics
Languages : en
Pages : 334
Book Description
This is a new edition of Kleijnen’s advanced expository book on statistical methods for the Design and Analysis of Simulation Experiments (DASE). Altogether, this new edition has approximately 50% new material not in the original book. More specifically, the author has made significant changes to the book’s organization, including placing the chapter on Screening Designs immediately after the chapters on Classic Designs, and reversing the order of the chapters on Simulation Optimization and Kriging Metamodels. The latter two chapters reflect how active the research has been in these areas. The validation section has been moved into the chapter on Classic Assumptions versus Simulation Practice, and the chapter on Screening now has a section on selecting the number of replications in sequential bifurcation through Wald’s sequential probability ration test, as well as a section on sequential bifurcation for multiple types of simulation responses. Whereas all references in the original edition were placed at the end of the book, in this edition references are placed at the end of each chapter. From Reviews of the First Edition: “Jack Kleijnen has once again produced a cutting-edge approach to the design and analysis of simulation experiments.” (William E. BILES, JASA, June 2009, Vol. 104, No. 486)
Experimental Designs for Sensitivity Analysis of Simulation Models
Author: Jacobus Petrus Catharinus KleijnenPublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Numerical Methods in Sensitivity Analysis and Shape Optimization
Author: Emmanuel LaportePublisher: Springer Science & Business Media
ISBN: 1461200695
Category : Technology & Engineering
Languages : en
Pages : 202
Book Description
Sensitivity analysis and optimal shape design are key issues in engineering that have been affected by advances in numerical tools currently available. This book, and its supplementary online files, presents basic optimization techniques that can be used to compute the sensitivity of a given design to local change, or to improve its performance by local optimization of these data. The relevance and scope of these techniques have improved dramatically in recent years because of progress in discretization strategies, optimization algorithms, automatic differentiation, software availability, and the power of personal computers. Numerical Methods in Sensitivity Analysis and Shape Optimization will be of interest to graduate students involved in mathematical modeling and simulation, as well as engineers and researchers in applied mathematics looking for an up-to-date introduction to optimization techniques, sensitivity analysis, and optimal design.
A "propagative" Approach to Sensitivity Analysis
Author: Jeff RothenbergPublisher:
ISBN:
Category : Automatic control
Languages : en
Pages : 22
Book Description
Large-scale simulations often involve huge numbers of parameters, making it prohibitive to run more than a tiny fraction of all potentially relevant cases. Sensitivity analysis attempts to show how responsive the results of a simulation are to changes in its parameters: this is an important tool for promoting confidence in a simulation and making its results credible. However, the computational cost of traditional approaches to sensitivity analysis prevents its use in many cases. The authors show that this cost is logically unnecessary and can be largely avoided by propagating and combining sensitivities during a computation, rather than recomputing them. They describe this "propagative" approach to sensitivity analysis and present the algorithm they have implemented to explore its potential
Guide to Modeling and Simulation of Systems of Systems
Author: Bernard ZeiglerPublisher: Springer Science & Business Media
ISBN: 0857298658
Category : Computers
Languages : en
Pages : 334
Book Description
This guide demonstrates how virtual build and test can be supported by the Discrete Event Systems Specification (DEVS) simulation modeling formalism, and the System Entity Structure (SES) simulation model ontology. The book examines a wide variety of Systems of Systems (SoS) problems, ranging from cloud computing systems to biological systems in agricultural food crops. Features: includes numerous exercises, examples and case studies throughout the text; presents a step-by-step introduction to DEVS concepts, encouraging hands-on practice to building sophisticated SoS models; illustrates virtual build and test for a variety of SoS applications using both commercial and open source DEVS simulation environments; introduces an approach based on activity concepts intrinsic to DEVS-based system design, that integrates both energy and information processing requirements; describes co-design modeling concepts and methods to capture separate and integrated software and hardware systems.