Applied Simulation
Author | : Malcolm Beaverstock |
Publisher | : |
Total Pages | : 432 |
Release | : 2012-07-15 |
Genre | : Computer simulation |
ISBN | : 9780983231929 |
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Author | : Malcolm Beaverstock |
Publisher | : |
Total Pages | : 432 |
Release | : 2012-07-15 |
Genre | : Computer simulation |
ISBN | : 9780983231929 |
Author | : Mary P. Anderson |
Publisher | : Academic Press |
Total Pages | : 632 |
Release | : 2015-08-13 |
Genre | : Technology & Engineering |
ISBN | : 0080916384 |
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
Author | : Andrew F. Seila |
Publisher | : Cengage Learning |
Total Pages | : 504 |
Release | : 2003 |
Genre | : Computer simulation |
ISBN | : |
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.
Author | : Max Kuhn |
Publisher | : Springer Science & Business Media |
Total Pages | : 595 |
Release | : 2013-05-17 |
Genre | : Medical |
ISBN | : 1461468493 |
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.
Author | : John R. Fanchi |
Publisher | : Elsevier |
Total Pages | : 530 |
Release | : 2005-12-08 |
Genre | : Business & Economics |
ISBN | : 0750679336 |
Simulate reservoirs effectively to extract the maximum oil, gas and profit, with this book and free simlation software on companion web site.
Author | : Shaharuddin Salleh |
Publisher | : CRC Press |
Total Pages | : 354 |
Release | : 2016-08-19 |
Genre | : Computers |
ISBN | : 1498721036 |
The tool for visualization is Microsoft Visual C++. This popular software has the standard C++ combined with the Microsoft Foundation Classes (MFC) libraries for Windows visualization. This book explains how to create a graph interactively, solve problems in graph theory with minimum number of C++ codes, and provide friendly interfaces that makes learning the topics an interesting one. Each topic in the book comes with working Visual C++ codes which can easily be adapted as solutions to various problems in science and engineering.
Author | : Frank C. Hoppensteadt |
Publisher | : Springer Science & Business Media |
Total Pages | : 257 |
Release | : 2013-03-09 |
Genre | : Mathematics |
ISBN | : 1475741316 |
The aim of this book is to introduce the subject of mathematical modeling in the life sciences. It is intended for students of mathematics, the physical sciences, and engineering who are curious about biology. Additionally, it will be useful to students of the life sciences and medicine who are unsatisfied with mere description and who seek an understanding of biological mechanism and dynamics through the use of mathematics. The book will be particularly useful to premedical students, because it will introduce them not only to a collection of mathematical methods but also to an assortment of phenomena involving genetics, epidemics, and the physiology of the heart, lung, and kidney. Because of its introductory character, mathematical prerequisites are kept to a minimum; they involve only what is usually covered in the first semester of a calculus sequence. The authors have drawn on their extensive experience as modelers to select examples which are simple enough to be understood at this elementary level and yet realistic enough to capture the essence of significant biological phenomena drawn from the areas of population dynamics and physiology. Because the models presented are realistic, the book can serve not only as an introduction to mathematical methods but also as a mathematical introduction to the biological material itself. For the student, who enjoys mathematics, such an introduction will be far more stimulating and satisfying than the purely descriptive approach that is traditional in the biological sciences.
Author | : Gilles Chiniara |
Publisher | : Academic Press |
Total Pages | : 992 |
Release | : 2019-08-21 |
Genre | : Science |
ISBN | : 0128156589 |
Clinical Simulation: Education, Operations and Engineering, Second Edition, offers readers a restructured, comprehensive and updated approach to learn about simulation practices and techniques in a clinical setting. Featuring new and revised chapters from the industry’s top researchers and educators, this release gives readers the most updated data through modern pedagogy. This new edition has been restructured to highlight five major components of simulation education, including simulation scenarios as tools, student learning, faculty teaching, necessary subject matter, and the learning environment. With clear and efficient organization throughout the book, users will find this to be an ideal text for students and professionals alike. Edited by a leading educator, consultant and practitioner in the clinical simulation field Redesigned structure emphasizes the five components of simulation pedagogy Contains over 30 new chapters that feature the most up-to-date industry information and practices
Author | : Martin Arnold |
Publisher | : Springer Science & Business Media |
Total Pages | : 382 |
Release | : 2009-06-15 |
Genre | : Technology & Engineering |
ISBN | : 3211895485 |
The coupling of models from different physical domains and the efficient and reliable simulation of multidisciplinary problems in engineering applications are important topics for various fields of engineering, in simulation technology and in the development and analysis of numerical solvers. The volume presents advanced modelling and simulation techniques for the dynamical analysis of coupled engineering systems consisting of mechanical, electrical, hydraulic and biological components as well as control devices often based on computer hardware and software. The book starts with some basics in multibody dynamics and in port-based modelling and focuses on the modelling and simulation of heterogeneous systems with special emphasis on robust and efficient numerical solution techniques and on a variety of applied problems including case studies of co-simulation in industrial applications, methods and problems of model based controller design and real-time application.