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Applied Simulation

Applied Simulation PDF Author: Malcolm Beaverstock
Publisher:
ISBN: 9780983231929
Category : Computer simulation
Languages : en
Pages : 432

Book Description


Applied Simulation Modeling

Applied Simulation Modeling PDF Author: Andrew F. Seila
Publisher: Cengage Learning
ISBN:
Category : Computer simulation
Languages : en
Pages : 504

Book Description
APPLIED SIMULATION MODELING provides the student with both a conceptual introduction to the concepts of simulation modeling and practical experience with real examples using popular commercial simulation packages ARENA and @Risk. The coverage includes Risk Simulation, Dynamic Systems, and Discrete Event Simulation models. Throughout the text, the authors show readers how they can use simulation in the context of decision making. Practical examples from Operations Management, Manufacturing, Health Care, and Finance are included throughout to give students an appreciation for the wide scope of application and the robust nature of simulation modeling. Special student editions of ARENA and @Risk are packaged with the text.

Applied Simulation

Applied Simulation PDF Author: Malcolm Beaverstock
Publisher:
ISBN: 9780983231929
Category : Computer simulation
Languages : en
Pages : 432

Book Description


Applied Groundwater Modeling

Applied Groundwater Modeling PDF Author: Mary P. Anderson
Publisher: Academic Press
ISBN: 0080916384
Category : Technology & Engineering
Languages : en
Pages : 632

Book Description
This second edition is extensively revised throughout with expanded discussion of modeling fundamentals and coverage of advances in model calibration and uncertainty analysis that are revolutionizing the science of groundwater modeling. The text is intended for undergraduate and graduate level courses in applied groundwater modeling and as a comprehensive reference for environmental consultants and scientists/engineers in industry and governmental agencies. Explains how to formulate a conceptual model of a groundwater system and translate it into a numerical model Demonstrates how modeling concepts, including boundary conditions, are implemented in two groundwater flow codes-- MODFLOW (for finite differences) and FEFLOW (for finite elements) Discusses particle tracking methods and codes for flowpath analysis and advective transport of contaminants Summarizes parameter estimation and uncertainty analysis approaches using the code PEST to illustrate how concepts are implemented Discusses modeling ethics and preparation of the modeling report Includes Boxes that amplify and supplement topics covered in the text Each chapter presents lists of common modeling errors and problem sets that illustrate concepts

Applied Predictive Modeling

Applied Predictive Modeling PDF Author: Max Kuhn
Publisher: Springer Science & Business Media
ISBN: 1461468493
Category : Medical
Languages : en
Pages : 595

Book Description
Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.

Applied Simulation and Modelling : Proceedings of the IASTED International Conference, September 4-7, 2001, Marbella, Spain

Applied Simulation and Modelling : Proceedings of the IASTED International Conference, September 4-7, 2001, Marbella, Spain PDF Author: M. H. Hamza
Publisher: Anaheim, CA ; Calgary : ACTA Press
ISBN: 9780889863118
Category : Technology & Engineering
Languages : en
Pages : 502

Book Description


Geometric Modelling, Numerical Simulation, and Optimization:

Geometric Modelling, Numerical Simulation, and Optimization: PDF Author: Geir Hasle
Publisher: Springer Science & Business Media
ISBN: 3540687831
Category : Mathematics
Languages : en
Pages : 559

Book Description
This edited volume addresses the importance of mathematics for industry and society by presenting highlights from contract research at the Department of Applied Mathematics at SINTEF, the largest independent research organization in Scandinavia. Examples range from computer-aided geometric design, via general purpose computing on graphics cards, to reservoir simulation for enhanced oil recovery. Contributions are written in a tutorial style.

Applied Simulation and Modelling

Applied Simulation and Modelling PDF Author:
Publisher:
ISBN:
Category : Computer simulation
Languages : en
Pages : 166

Book Description


Applied Simulation

Applied Simulation PDF Author: Malcolm Beaverstock
Publisher: Bookbaby
ISBN: 9780983231974
Category : Technology & Engineering
Languages : en
Pages : 0

Book Description
Simulation is an applied technology that adds no value if not used effectively. This book is all about applying simulation in manufacturing, mining, healthcare, transportation, retail, distribution, and more. While traditional simulation texts focus on simulation theory, this book achieves a balance between the important theory and practical issues that lead to simulation success. Written by authors who have in-depth knowledge of simulation and statistics theory as well as extensive experience in teaching and successfully applying simulation, it provides techniques and practical advice. This book covers topics not found in most other texts. It includes chapters on justifying, defining and managing simulation projects. Each exercise is based on actual experience from a wide variety of dynamic operations. The exercises pose unique problems to be solved using simulation as a tool. Also included are application techniques concerning how to manage and store simulation data, picking the correct length of time a simulation should be run, as well as control communications between simulated equipment. Simulating fluid flow, reliability involving competing failures, time schedules, and production scheduling are topics unique to this book.Review questions at the end of each chapter, simulation modeling activities, and educator support materials are reasons this book is being used for teaching simulation as an applied technology around the world. The ease-of-use and native 3D graphical environment of FlexSim means very little time needs to be spent addressing software details. The interest and focus is always on applying the technology.Applied Simulation: Modeling and Analysis using FlexSim enhances the traditional approach to simulation education and provides a truly fresh view to the professional practice of simulation.

Advances in Applied Digital Human Modeling and Simulation

Advances in Applied Digital Human Modeling and Simulation PDF Author: Vincent Duffy
Publisher: AHFE International (USA)
ISBN: 1495120945
Category :
Languages : en
Pages : 177

Book Description
This book, Advances in Applied Digital Human Modeling, is concerned with Modeling, Biomechanics and Simulation. The benefit of this area of research is to aid in the design of systems. Human modeling and simulation can reduce the need for physical prototyping and incorporate ergonomics and human factors earlier in design processes. These models provide a representation of some human aspects that can be inserted into simulations or virtual environments and facilitate prediction of safety, satisfaction, usability, performance and sustainability. These may consider the physiological, cognitive, behavioral, emotional and environmental aspects. The math and science provides a foundation for visualizations that can facilitate decision making by technical experts, management or those responsible for public policy.

Principles of Modeling and Simulation

Principles of Modeling and Simulation PDF Author: John A. Sokolowski
Publisher: John Wiley & Sons
ISBN: 1118210948
Category : Mathematics
Languages : en
Pages : 211

Book Description
Explores wide-ranging applications of modeling and simulation techniques that allow readers to conduct research and ask "What if?" Principles of Modeling and Simulation: A Multidisciplinary Approach is the first book to provide an introduction to modeling and simulation techniques across diverse areas of study. Numerous researchers from the fields of social science, engineering, computer science, and business have collaborated on this work to explore the multifaceted uses of computational modeling while illustrating their applications in common spreadsheets. The book is organized into three succinct parts: Principles of Modeling and Simulation provides a brief history of modeling and simulation, outlines its many functions, and explores the advantages and disadvantages of using models in problem solving. Two major reasons to employ modeling and simulation are illustrated through the study of a specific problem in conjunction with the use of related applications, thus gaining insight into complex concepts. Theoretical Underpinnings examines various modeling techniques and introduces readers to two significant simulation concepts: discrete event simulation and simulation of continuous systems. This section details the two primary methods in which humans interface with simulations, and it also distinguishes the meaning, importance, and significance of verification and validation. Practical Domains delves into specific topics related to transportation, business, medicine, social science, and enterprise decision support. The challenges of modeling and simulation are discussed, along with advanced applied principles of modeling and simulation such as representation techniques, integration into the application infrastructure, and emerging technologies. With its accessible style and wealth of real-world examples, Principles of Modeling and Simulation: A Multidisciplinary Approach is a valuable book for modeling and simulation courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for researchers and practitioners working in statistics, mathematics, engineering, computer science, economics, and the social sciences who would like to further develop their understanding and knowledge of the field.