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John Sokolowski A. Principles of Modeling and Simulation


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.

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Banks Catherine M. Modeling and Simulation Fundamentals. Theoretical Underpinnings and Practical Domains


An insightful presentation of the key concepts, paradigms, and applications of modeling and simulation Modeling and simulation has become an integral part of research and development across many fields of study, having evolved from a tool to a discipline in less than two decades. Modeling and Simulation Fundamentals offers a comprehensive and authoritative treatment of the topic and includes definitions, paradigms, and applications to equip readers with the skills needed to work successfully as developers and users of modeling and simulation. Featuring contributions written by leading experts in the field, the book's fluid presentation builds from topic to topic and provides the foundation and theoretical underpinnings of modeling and simulation. First, an introduction to the topic is presented, including related terminology, examples of model development, and various domains of modeling and simulation. Subsequent chapters develop the necessary mathematical background needed to understand modeling and simulation topics, model types, and the importance of visualization. In addition, Monte Carlo simulation, continuous simulation, and discrete event simulation are thoroughly discussed, all of which are significant to a complete understanding of modeling and simulation. The book also features chapters that outline sophisticated methodologies, verification and validation, and the importance of interoperability. A related FTP site features color representations of the book's numerous figures. Modeling and Simulation Fundamentals encompasses a comprehensive study of the discipline and is an excellent book for modeling and simulation courses at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the fields of computational statistics, engineering, and computer science who use statistical modeling techniques.

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Andreas Tolk Engineering Principles of Combat Modeling and Distributed Simulation


Explore the military and combat applications of modeling and simulation Engineering Principles of Combat Modeling and Distributed Simulation is the first book of its kind to address the three perspectives that simulation engineers must master for successful military and defense related modeling: the operational view (what needs to be modeled); the conceptual view (how to do combat modeling); and the technical view (how to conduct distributed simulation). Through methods from the fields of operations research, computer science, and engineering, readers are guided through the history, current training practices, and modern methodology related to combat modeling and distributed simulation systems. Comprised of contributions from leading international researchers and practitioners, this book provides a comprehensive overview of the engineering principles and state-of-the-art methods needed to address the many facets of combat modeling and distributed simulation and features the following four sections: Foundations introduces relevant topics and recommended practices, providing the needed basis for understanding the challenges associated with combat modeling and distributed simulation. Combat Modeling focuses on the challenges in human, social, cultural, and behavioral modeling such as the core processes of «move, shoot, look, and communicate» within a synthetic environment and also equips readers with the knowledge to fully understand the related concepts and limitations. Distributed Simulation introduces the main challenges of advanced distributed simulation, outlines the basics of validation and verification, and exhibits how these systems can support the operational environment of the warfighter. Advanced Topics highlights new and developing special topic areas, including mathematical applications fo combat modeling; combat modeling with high-level architecture and base object models; and virtual and interactive digital worlds. Featuring practical examples and applications relevant to industrial and government audiences, Engineering Principles of Combat Modeling and Distributed Simulation is an excellent resource for researchers and practitioners in the fields of operations research, military modeling, simulation, and computer science. Extensively classroom tested, the book is also ideal for courses on modeling and simulation; systems engineering; and combat modeling at the graduate level.

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Banks Catherine M. Modeling and Simulation in the Medical and Health Sciences


This edited book is divided into three parts: Fundamentals of Medical and Health Sciences Modeling and Simulation introduces modeling and simulation in the medical and health sciences; Medical and Health Sciences Models provides the theoretical underpinnings of medical and health sciences modeling; and Modeling and Simulation Applications in Medical and Health Sciences focuses on teaching, training, and research applications. The book begins with a general discussion of modeling and simulation from the modeling and simulation discipline perspective. This discussion grounds the reader in common terminology. It also relates this terminology to concepts found in the medical and health care (MHC) area to help bridge the gap between developers and MHC practitioners. Three distinct modes of modeling and simulation are described: live, constructive, and virtual. The live approach explains the concept of using real (live) people employing real equipment for training purposes. The constructive mode is a means of engaging medical modeling and simulation. In constructive simulation, simulated people and simulated equipment are developed to augment real-world conditions for training or experimentation purposes. The virtual mode is perhaps the most fascinating as virtual operating rooms and synthetic training environments are being produced for practitioners and educators at break-neck speed. In this mode, real people are employing simulated equipment to improve physical skills and decision-making ability.

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William Kasch An Introduction to Network Modeling and Simulation for the Practicing Engineer


This book provides the practicing engineer with a concise listing of commercial and open-source modeling and simulation tools currently available including examples of implementing those tools for solving specific Modeling and Simulation examples. Instead of focusing on the underlying theory of Modeling and Simulation and fundamental building blocks for custom simulations, this book compares platforms used in practice, and gives rules enabling the practicing engineer to utilize available Modeling and Simulation tools. This book will contain insights regarding common pitfalls in network Modeling and Simulation and practical methods for working engineers.

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Manuel Rossetti D. Simulation Modeling and Arena


Emphasizes a hands-on approach to learning statistical analysis and model building through the use of comprehensive examples, problems sets, and software applications With a unique blend of theory and applications, Simulation Modeling and Arena®, Second Edition integrates coverage of statistical analysis and model building to emphasize the importance of both topics in simulation. Featuring introductory coverage on how simulation works and why it matters, the Second Edition expands coverage on static simulation and the applications of spreadsheets to perform simulation. The new edition also introduces the use of the open source statistical package, R, for both performing statistical testing and fitting distributions. In addition, the models are presented in a clear and precise pseudo-code form, which aids in understanding and model communication. Simulation Modeling and Arena, Second Edition also features: Updated coverage of necessary statistical modeling concepts such as confidence interval construction, hypothesis testing, and parameter estimation Additional examples of the simulation clock within discrete event simulation modeling involving the mechanics of time advancement by hand simulation A guide to the Arena Run Controller, which features a debugging scenario New homework problems that cover a wider range of engineering applications in transportation, logistics, healthcare, and computer science A related website with an Instructor’s Solutions Manual, PowerPoint® slides, test bank questions, and data sets for each chapter Simulation Modeling and Arena, Second Edition is an ideal textbook for upper-undergraduate and graduate courses in modeling and simulation within statistics, mathematics, industrial and civil engineering, construction management, business, computer science, and other departments where simulation is practiced. The book is also an excellent reference for professionals interested in mathematical modeling, simulation, and Arena.

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Raid Al-Aomar Process Simulation Using WITNESS


Teaches basic and advanced modeling and simulation techniques to both undergraduate and postgraduate students and serves as a practical guide and manual for professionals learning how to build simulation models using WITNESS, a free-standing software package. This book discusses the theory behind simulation and demonstrates how to build simulation models with WITNESS. The book begins with an explanation of the concepts of simulation modeling and a “guided tour” of the WITNESS modeling environment. Next, the authors cover the basics of building simulation models using WITNESS and modeling of material-handling systems. After taking a brief tour in basic probability and statistics, simulation model input analysis is then examined in detail, including the importance and techniques of fitting closed-form distributions to observed data. Next, the authors present simulation output analysis including determining run controls and statistical analysis of simulation outputs and show how to use these techniques and others to undertake simulation model verification and validation. Effective techniques for managing a simulation project are analyzed, and case studies exemplifying the use of simulation in manufacturing and services are covered. Simulation-based optimization methods and the use of simulation to build and enhance lean systems are then discussed. Finally, the authors examine the interrelationships and synergy between simulation and Six Sigma. Emphasizes real-world applications of simulation modeling in both services and manufacturing sectors Discusses the role of simulation in Six Sigma projects and Lean Systems Contains examples in each chapter on the methods and concepts presented Process Simulation Using WITNESS is a resource for students, researchers, engineers, management consultants, and simulation trainers.

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John Sokolowski A. Modeling and Simulation for Analyzing Global Events


one-of-a-kind introduction to the theory and application of modeling and simulation techniques in the realm of international studies Modeling and Simulation for Analyzing Global Events provides an orientation to the theory and application of modeling and simulation techniques in social science disciplines. This book guides readers in developing quantitative and numeric representations of real-world events based on qualitative analysis. With an emphasis on gathering and mapping empirical data, the authors detail the steps needed for accurately analyzing global events and outline the selection and construction of the best model for understanding the event¿s data. Providing a theoretical foundation while also illustrating modern examples, the book contains three parts: Advancing Global Studies—introduces the what, when, and why of modeling and simulation and also explores its brief history, various uses, and some of the advantages and disadvantages of modeling and simulation in problem solving. In addition, the differences in qualitative and quantitative research methods, mapping data, and conducting model validation are also discussed. Modeling Paradigms—examines various methods of modeling including system dynamics, agent-based modeling, social network modeling, and game theory. This section also explores the theory and construction of these modeling paradigms, the fundamentals for their application, and various contexts for their use. Modeling Global Events—applies the modeling paradigms to four real-world events that are representative of several fundamental areas of social science studies: internal commotion within an anarchic state, a multi-layered study of the Solidarity movement in Poland, uni-lateral military intervention, and the issue of compellence and deterrence during a national security crisis. Modeling and Simulation for Analyzing Global Events is an excellent book for statistics, engineering, computer science, economics, and social sciences courses on modeling and simulation at the upper-undergraduate and graduate levels. It is also an insightful reference for professionals who would like to develop modeling and simulation skills for analyzing and communicating human behavior observed in real-world events and complex global case studies.

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MOHSEN GUIZANI Network Modeling and Simulation. A Practical Perspective


Network Modeling and Simulation is a practical guide to using modeling and simulation to solve real-life problems. The authors give a comprehensive exposition of the core concepts in modeling and simulation, and then systematically address the many practical considerations faced by developers in modeling complex large-scale systems. The authors provide examples from computer and telecommunication networks and use these to illustrate the process of mapping generic simulation concepts to domain-specific problems in different industries and disciplines. Key features: Provides the tools and strategies needed to build simulation models from the ground up rather than providing solutions to specific problems. Includes a new simulation tool, CASiNO built by the authors. Examines the core concepts of systems simulation and modeling. Presents code examples to illustrate the implementation process of commonly encountered simulation tasks. Offers examples of industry-standard modeling methodology that can be applied in steps to tackle any modeling problem in practice.

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Andreas Tolk Modeling and Simulation Support for System of Systems Engineering Applications


“…a much-needed handbook with contributions from well-chosen practitioners. A primary accomplishment is to provide guidance for those involved in modeling and simulation in support of Systems of Systems development, more particularly guidance that draws on well-conceived academic research to define concepts and terms, that identifies primary challenges for developers, and that suggests fruitful approaches grounded in theory and successful examples.” Paul Davis, The RAND Corporation Modeling and Simulation Support for System of Systems Engineering Applications provides a comprehensive overview of the underlying theory, methods, and solutions in modeling and simulation support for system of systems engineering. Highlighting plentiful multidisciplinary applications of modeling and simulation, the book uniquely addresses the criteria and challenges found within the field. Beginning with a foundation of concepts, terms, and categories, a theoretical and generalized approach to system of systems engineering is introduced, and real-world applications via case studies and examples are presented. A unified approach is maintained in an effort to understand the complexity of a single system as well as the context among other proximate systems. In addition, the book features: Cutting edge coverage of modeling and simulation within the field of system of systems, including transportation, system health management, space mission analysis, systems engineering methodology, and energy State-of-the-art advances within multiple domains to instantiate theoretic insights, applicable methods, and lessons learned from real-world applications of modeling and simulation The challenges of system of systems engineering using a systematic and holistic approach Key concepts, terms, and activities to provide a comprehensive, unified, and concise representation of the field A collection of chapters written by over 40 recognized international experts from academia, government, and industry A research agenda derived from the contribution of experts that guides scholars and researchers towards open questions Modeling and Simulation Support for System of Systems Engineering Applications is an ideal reference and resource for academics and practitioners in operations research, engineering, statistics, mathematics, modeling and simulation, and computer science. The book is also an excellent course book for graduate and PhD-level courses in modeling and simulation, engineering, and computer science.

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Simulation and Modeling of Systems of Systems: Amazon.de ...

Simulation and Modeling of Systems of Systems | Pascal Cantot, Dominique Luzeaux | ISBN: 9781848212343 | Kostenloser Versand für alle Bücher mit Versand und Verkauf duch Amazon.

Simulation and Modeling of Systems of Systems: Cantot ...

Simulation and Modeling of Systems of Systems [Cantot, Pascal, Luzeaux, Dominique] on Amazon.com. *FREE* shipping on qualifying offers. Simulation and Modeling of Systems of Systems

Pascal Cantot's research works

Pascal Cantot's 5 research works with 5 citations and 58 reads, including: Simulation: History, Concepts, and Examples

Simulation and Modeling of Systems of Systems by Pascal ...

Simulation and Modeling of Systems of Systems | Systems engineering is the design of a complex interconnection of many elements (a system) to maximize a specific measure of system performance. It consists of two parts: modeling, in which each element of the system and its performance criteria are described; and optimization in which adjustable elements are tailored to allow peak performance.

Simulation and Modeling of Systems of Systems by Pascal ...

Simulation and Modeling of Systems of Systems by Pascal Cantot; Dominique Luzeaux. Wiley-ISTE, 2011-05-31. Hardcover. Good.... COVID-19 Update. September 6, 2020: Biblio is open and shipping orders. Read more here. Skip to content. Sign In; Register; Help ; You have items in your cart. Toggle book search form. Select type of book search you would like to make. Enter terms or ISBN number you ...

Pascal's Principle Simulation - Doleweb Physics Portal

Pascal's Principle Simulation. Click here for description. Change the Speed: Slowest Slower Medium Faster Fastest Created with Easy Java Simulations. Return to Main Menu. Pascal's Principle Simulation. Click here for description. Change the Speed: ...

Simulation in Pascal - opensimply.org

Simulation in Free Pascal OpenSIMPLY is a software for simulation and modeling in Free Pascal. The similation approach is discrete event simulation. OpenSIMPLY is free open source software. So you can modify any part of the project. Learn more about the using. The source code is compatible both with Free Pascal / Lazarus and with Delphi syntax ...

PASCAL Simulator - American Academy of Ophthalmology

The PASCAL (PAtterned SCAnning Laser) Photocoagulator is an integrated semi-automatic pattern scan laser photocoagulation system designed to treat ocular diseases using a single shot or predetermined pattern array. The following simulation illustrates the PASCAL method of photocoagulation. The main control panel allows the selection of system parameters, such as laser pattern, spot size, power, and exposure time. The slit-lamp view shows the aim beam and laser emission.

Concurrent Pascal as a simulation language - ScienceDirect

Concurrent Pascal is presented in this paper as a system simulation language. The end objective is the definition of a set of variable types — which allows for the construction of a hierarchycal structure which should be able to characterize systems. New types of definitions will allow for the building of a library of type components.

Random - Free Pascal

The Free Pascal implementation of the Random routine uses a Mersenne Twister algorithm to simulate randomness. This implementation has a better statistical distribution than for example a Linear Congruential generator algorithm, but is considerably slower than the latter. If speed is an issue, then alternate random number generators should be considered. Note that the fact that a Mersenne ...

Simulation - Pascal Triangle and Binary Distribution

Pascal Triangle when n = 5 1 : 5 : 10 : 10 : 5 : 1 made with Processing Leave email if you want Program (.exe file)

Negative Binomialverteilung – Wikipedia

Die negative Binomialverteilung (auch Pascal-Verteilung) ist eine univariate Wahrscheinlichkeitsverteilung.Sie zählt zu den diskreten Wahrscheinlichkeitsverteilungen ...

Online Hacker Simulator

Here you can pick the color scheme of the hacking simulator. There's Black and white, Dos, Pascal and neon green options available. Change the font style and size, adjust the size of the windows to fit your monitor. Speed up or slow down the animation, minimize all open windows to the tray or toggle them. Hot Keys. Press the numbers on your keyboard to show window contents in an alert box in ...

Fluid Pressure and Flow - Pressure | Water | Fluids - PhET ...

Fluid Pressure and Flow Phet Simulation worksheet: Yau-Jong Twu: HS: Guided HW: Physics: Students' Learning Activity (Fluid Pressure & Flow) Caryll Baylon & Jeramie Bulat-ag: HS: Guided: Physics Chemistry: Static Fluid Pressure and Fluid Flow: Shawn Templin: UG-Intro HS: Lab: Physics: Fluids Lab: Travis Brown: HS: Lab: Physics: Fluid Experiments: Patrick Foley : UG-Intro HS: Lab: Physics ...

MouseAndKeyInput - Free Pascal wiki

From Free Pascal wiki. Jump to:navigation, search │ English (en) │ français (fr) │ Contents. 1 About; 2 Change Log; 3 Restrictions. 3.1 Carbon; 3.2 Gtk1/2; 4 Usage; About. MouseAndKeyInput package is a tool for cross-platform manipulation with mouse and key input. You can move mouse cursor to specified location, send clicks and do key presses. It is suitable for GUI testing or program ...

Wiley: Simulation and Modeling of Systems of Systems ...

Simulation and Modeling of Systems of Systems. Pascal Cantot (Editor), Dominique Luzeaux (Editor) ISBN: 978-1-118-61695-6. E-book. March 2013, Wiley-ISTE. US $149.99 Purchase This E-book. This price is valid for United States. Change location to view local pricing and availability. Important E-book Information . Adobe e-books are read using Adobe Digital Editions. Install Adobe Digital ...

Simulation and Modeling of Systems of Systems (English ...

Simulation and Modeling of Systems of Systems (English Edition) eBook: Pascal Cantot, Dominique Luzeaux: Amazon.de: Kindle-Shop

What has the author Pascal Cantot written? - Answers

Pascal Cantot has written: 'Simulation and modeling of systems of systems' -- subject(s): Systems engineering, Computer simulation, Data processing

Under Pressure - Pressure | Fluids | Density - PhET ...

Exploring Pressure Underground with PhET Simulation Lab: Chris McNary: MS: Demo Lab HW Guided: Physics Earth Science: Exploring Pressure: Bruce Palmquist: HS UG-Intro: Guided Lab HW: Physics Mathematics: Presión hidrostática por indagación: Trish Loeblein, traducción por Diana López: UG-Intro HS MS: Remote MC Lab HW Guided: Earth Science Physics: SECUNDARIA: Alineación PhET con programas ...

Presidential Election Simulator

Select the Run Simulation button to conduct a simulated 2020 presidential election. You can choose to have the map populate randomly or more east to west, based on actual poll closing times.. The simulator is largely based on a data-driven presidential model created by JHK forecasts. However, it also takes into consideration the election forecast of one or more long-time qualitative forecasters.

pascal programming free download - SourceForge

Pascal XE is an IDE for Pascal programming, it is user friendly and designed specially for beginners in programming. Pascal XE includes 3 free compilers: - Virtual Pascal Compiler 2.1.279 (default) - Free Pascal Compiler 3.0.4 - GNU Pascal Compiler 20070904

Scenarios & Simulation Systems | PAsCAL

Scenarios & Simulation Systems This area hosts projects and answers dedicated to an experimentation activity through the use of simulators, including those related to driving and those of virtual reality, so as to offer insights both from the point of view of the driver and that of the people being transported

Teaching simulation with Pascal_SIM | DeepDyve

Teaching simulation with Pascal_SIM Teaching simulation with Pascal_SIM O'Keefe, R. M.; Davies, R. M. 1989-10-01 00:00:00 Proceedings of the 1989 Winter Simulation Conference E.A. MacNair, K.J. Musselman, P. Heidelberger (eds.) Teaching Simulation with Pascal_SIM Robert M. O'Keefe Department of Decision Sciences and Engineering Systems Rensselaer Polytechnic Institute Troy, NY, USA Ruth M ...

Pascal Cantot | Facebook

Pascal Cantot is on Facebook. Join Facebook to connect with Pascal Cantot and others you may know. Facebook gives people the power to share and makes the...

Hydraulic simulation — WNTR 0.2.3 documentation

The simulator can also be used to run water quality simulations, as described in Water quality simulation. A hydraulic simulation using the EpanetSimulator is run using the following code: Note. EPANET refers to EPANET 2.00.12. Future releases of WNTR will include EPANET 2.2.0. >>> import wntr >>> wn = wntr. network. WaterNetworkModel ('networks/Net3.inp') >>> sim = wntr. sim. EpanetSimulator ...

Pascaline – interactive simulations – eduMedia

Animation produced in collaboration with the Musée des Arts et Metiers - Paris. The arithmetic machine created by Blaise Pascale (1623-1662) - the Pascaline - was one of the first mechanical calculating devices (first model 1642). It's a calculating machine because the carrying over across places occurs automatically. It enables one to directly add and subtract.

Pascal, pascal simulation

pascal simulation. Dear Friends . I have to do some testing on a single server post office queuing system for my assignment. The testing could be like on average, how many people have to wait for three mins. or how many people in the queue at any given tme etc. I then need to perform graphs that shows the figure outputs (the graph itself can be done in Excel) Urgent help is needed. It is due ...

PASCAL simulation for packet switching computer networks ...

PASCAL for simulation No simulation package for packet switching networks, based on using PASCAL, is avilable in the literature. As a programming language, PASCAL with its RECORD facility, enables its users of-easily defining multi-level data structures, and this facility matches with the simulation requirement of describing systems and entities. In addition, PASCAL with its block-structured ...

Pascaline – simulation, animation – eduMedia

Die Animation ist in Zusammenarbeit mit dem Museum "Musée des Arts et Metier" in Paris erstellt worden. Die Rechenmaschine, die Pascaline, die von Blaise Pascale (1623-1662) erfunden wurde, war eine der ersten mechanischen Rechengeräte (erstes Modell 1642). Sie ist eine Rechenmaschine, weil das Ergebnis automatisch berechnet wird. Sie ermöglicht es einem, direkt zu addierren und zu ...

Kundtsches Rohr Kundt's tube stehende Wellen Simulation ...

Im Kundtschen Rohr kann man stehende Wellen mit Korkmehl sichtbar machen. Hier wird der Vorgang simuliert, so dass man Druck und Teilchenschnelle besser beur...

Monte Carlo Simulations | Oracle Pascal Ledru's Blog

For Monte Carlo simulations, the same program is executed on each node and the master only averages the results! The most famous example of a Monte Carlo simulation is used to approximate the value of π. Monte Carlo simulations are widely used for simulating the behavior of various physical and mathematical systems. They are also used in finance

Pascal Monte Carlo Simulation (Baseball) Peer Review Request

Pascal Monte Carlo Simulation (Baseball) Peer Review Request Free Pascal Website Downloads Wiki Bugtracker Mailing List Lazarus Website Downloads (Laz+FPC) Packages (OPM) FAQ Wiki Bugtracker IRC channel Follow us on Twitter Latest SVN Mailing List Other languages ...

Pac Man | Play Free

How To Play Pac-Man. Use the arrow keys to move Pac-Man or Ms.Pac-Man. Avoid and kill the ghosts and eat all the pellets to complete a level. There are 4 big pellets on each level that Pac-Man or Ms.Pac-Man can eat that allows the ghosts to be eaten.

Türme von Hanoi - Mathematik

Türme von Hanoi. 1883 erfand der französische Mathematiker Edouard Lucas das Problem der Türme von Hanoi. Ziel des Spieles: Alle Scheiben vom Turm ganz links sollen auf den Turm ganz rechts bewegt werden.

(PDF) Simulation in PASCAL | Earl Hunt - Academia.edu

Some of the author’s experiences in working with simulation languages are discussed. The use of PASCAL language is detailed.

Professionelle Grafiklösungen und Turing-GPU-Architektur ...

Turing sorgt für 25-mal schnelleres Echtzeit-Raytracing als mit der Vorgängergeneration NVIDIA Pascal™. So ist Turing für das Final-Frame-Rendering von Filmeffekten einsetzbar, das 30-mal so schnell ist wie mit CPUs. TENSOR-RECHENEINHEITEN FÜR KI-BESCHLEUNIGUNG. Turing besitzt neue Tensor-Recheneinheiten. Diese Prozessoren beschleunigen Deep Learning-Training und -Inferenz und bieten bis ...

Pascal's Law and Hydraulics - Wisc-Online OER

Pascal's Law and Hydraulics By Terry Bartelt. Using the principle of Pascal's Law, the learner will interpret the gauge readings in a hydraulic system to determine when the system is operating properly under various load conditions and when there is a defect.

On the homogenization and the simulation of random ...

On the homogenization and the simulation of random materials Author SAB, K CERAM-ENPC, 93167 Noisy-le-Grand, France Source. European journal of mechanics. A. Solids. 1992, Vol 11, Num 5, pp 585-607 ; ref : 1 p. ISSN 0997-7538 Scientific domain Mechanics acoustics Publisher Elsevier, Paris Publication country France Document type Article ...

Modeling and Simulation of Technical Systems | ESI ITI

A simulation is an experiment with a model which helps to make predictions about a system’s behavior under certain conditions. The physically-correct simulation model should be designed in a way that the technical aspects at hand can sufficiently represent realistic behavior. Only then can computer simulation provide realistic results for various scenarios at much lower costs. Long time ...

pascal paper - DDMS modeling & simulation business change ...

Pascal ashtonisly made it happen thanks to his high energy and motivation. “ Pascal is a People oriented person who can get the best out of his colleagues in transnational multidisciplinary teams even in not so easy times; 2 personnes ont recommandé pascal Inscrivez-vous pour y accéder. Voir le profil complet de pascal. Découvrir vos ...

Pascal Hermann - Teamleiter Simulation - hofer powertrain ...

Pascal Hermann Pascal Hermann. Ganzes Profil ansehen. Ganzes Profil ansehen. Bis 2019, Teamleiter Simulation, hofer powertrain GmbH. Stuttgart, Deutschland. Logg Dich ein, um alle Einträge zu sehen. Fähigkeiten und Kenntnisse Fähigkeiten und Kenntnisse. Bitte einloggen, um alle Einträge zu sehen. MatLab. Simulation. Reaktoroptimierung. FEM. Python. Numerische Optimierungsmethoden ...

Category:Modelling and Simulation/de - Free Pascal wiki

Pages in category "Modelling and Simulation/de" This category contains only the following page.

Simulation modelling with Pascal (Book, 1989) [WorldCat.org]

Additional Physical Format: Online version: Davies, Ruth M., 1948-Simulation modelling with Pascal. New York : Prentice Hall, 1989 (OCoLC)596862364

Best Android emulator in 2020 | TechRadar

Simulate Android on your desktop. Shares. There are several reasons for emulating Android on a PC or Mac. It's often easier to test apps on a desktop than a mobile device, and for everyone else ...

Vacuum Simulation

Pascal. Simulate complex systems of pumps, components and chambers. Discover what's possible with Leybold's products. CPQ. Configure. Price. Quote. Use the powerful configuration engine to find solutions that fit your customer's needs. $ CoO. Cost of Ownership calculation. Uncover all the lifetime costs and compare with other solutions. Pascal LITE. Run Pascal simulations from an easy to use ...

compile pascal online - Rextester

compile pascal online Language: Ada Assembly Bash C# C++ (gcc) C++ (clang) C++ (vc++) C (gcc) C (clang) C (vc) Client Side Clojure Common Lisp D Elixir Erlang F# Fortran Go Haskell Java Javascript Kotlin Lua MySql Node.js Ocaml Octave Objective-C Oracle Pascal Perl Php PostgreSQL Prolog Python Python 3 R Rust Ruby Scala Scheme Sql Server Swift Tcl Visual Basic Layout: Vertical Horizontal

Shitstorm-Cybermobbing-Simulator – Pascal Schiebenes

November 16, 2018 November 16, 2018 Pascal Schiebenes 1 Kommentar zu Shitstorm-Cybermobbing-Simulator Shitstorm-Cybermobbing-Simulator -Die Macht und Gefahr der Anonymität im Netz im Selbstversuch erleben-

Hyperion Cantos - Wikipedia

The Hyperion Cantos is a series of science fiction novels by Dan Simmons.The title was originally used for the collection of the first pair of books in the series, Hyperion and The Fall of Hyperion, and later came to refer to the overall storyline, including Endymion, The Rise of Endymion, and a number of short stories. More narrowly, inside the fictional storyline, after the first volume, the ...

Charlotte Rehborn - Analystin Simulation - DHL Sorting ...

Analystin Simulation. Einloggen und ganzen Eintrag ansehen. Simulationsingenieurin. Einloggen und ganzen Eintrag ansehen. Aug 2013 - May 2014. Simulationsingenieurin. MVI PROPLANT . Logg Dich ein, um alle Einträge zu sehen. Ausbildung von Charlotte Rehborn. Oct 2007 - Apr 2013. Maschinenbau. Ruhr-Universität Bochum. Konstruktions- und Automatisierungstechnik. Logg Dich ein, um alle Einträge ...

Es ist ein Problem aufgetreten. Es tut uns leid. - eBay

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Peter Fritzson Introduction to Modeling and Simulation of Technical and Physical Systems with Modelica


Master modeling and simulation using Modelica, the new powerful, highly versatile object-based modeling language Modelica, the new object-based software/hardware modeling language that is quickly gaining popularity around the world, offers an almost universal approach to high-level computational modeling and simulation. It handles a broad range of application domains, for example mechanics, electrical systems, control, and thermodynamics, and facilitates general notation as well as powerful abstractions and efficient implementations. Using the versatile Modelica language and its associated technology, this text presents an object-oriented, component-based approach that makes it possible for readers to quickly master the basics of computer-supported equation-based object-oriented (EOO) mathematical modeling and simulation. Throughout the text, Modelica is used to illustrate the various aspects of modeling and simulation. At the same time, a number of key concepts underlying the Modelica language are explained with the use of modeling and simulation examples. This book: Examines basic concepts such as systems, models, and simulations Guides readers through the Modelica language with the aid of several step-by-step examples Introduces the Modelica class concept and its use in graphical and textual modeling Explores modeling methodology for continuous, discrete, and hybrid systems Presents an overview of the Modelica Standard Library and key Modelica model libraries Readers will find plenty of examples of models that simulate distinct application domains as well as examples that combine several domains. All the examples and exercises in the text are available via DrModelica. This electronic self-teaching program, freely available on the text's companion website, guides readers from simple, introductory examples and exercises to more advanced ones. Written by the Director of the Open Source Modelica Consortium, Introduction to Modeling and Simulation of Technical and Physical Systems with Modelica is recommended for engineers and students interested in computer-aided design, modeling, simulation, and analysis of technical and natural systems. By building on basic concepts, the text is ideal for students who want to learn modeling, simulation, and object orientation.

6356.05 RUR

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Alain Pirovano Networking Simulation for Intelligent Transportation Systems. High Mobile Wireless Nodes


This book studies the simulation of wireless networking in the domain of Intelligent Transportation Systems (ITS) involving aircraft, railway and vehicular communication. On this subject, particular focus is placed on effective communication channels, mobility modeling, multi-technology simulation and global ITS simulation frameworks. Networking Simulation for Intelligent Transportation Systems addresses the mixing of IEEE802.11p and LTE into a dedicated simulation environment as well as the links between ITS and IoT; aeronautical mobility and VHD Data Link (VDL) simulation; virtual co-simulation for railway communication and control-command; realistic channel simulation, mobility modeling and autonomic simulation for VANET and quality metrics for VANET. The authors intend for this book to be as useful as possible to the reader as they provide examples of methods and tools for running realistic and reliable simulations in the domain of communications for ITS.

11340.66 RUR

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James Nutaro J. Building Software for Simulation. Theory and Algorithms, with Applications in C++


A unique guide to the design and implementation of simulation software This book offers a concise introduction to the art of building simulation software, collecting the most important concepts and algorithms in one place. Written for both individuals new to the field of modeling and simulation as well as experienced practitioners, this guide explains the design and implementation of simulation software used in the engineering of large systems while presenting the relevant mathematical elements, concept discussions, and code development. The book approaches the topic from the perspective of Zeigler's theory of modeling and simulation, introducing the theory's fundamental concepts and showing how to apply them to engineering problems. Readers will learn five necessary skills for building simulations of complicated systems: Working with fundamental abstractions for simulating dynamic systems Developing basic simulation algorithms for continuous and discrete event models Combining continuous and discrete event simulations into a coherent whole Applying strategies for testing a simulation Understanding the theoretical foundations of the modeling constructs and simulation algorithms The central chapters of the book introduce, explain, and demonstrate the elements of the theory that are most important for building simulation tools. They are bracketed by applications to robotics, control and communications, and electric power systems; these comprehensive examples clearly illustrate how the concepts and algorithms are put to use. Readers will explore the design of object-oriented simulation programs, simulation using multi-core processors, and the integration of simulators into larger software systems. The focus on software makes this book particularly useful for computer science and computer engineering courses in simulation that focus on building simulators. It is indispensable reading for undergraduate and graduate students studying modeling and simulation, as well as for practicing scientists and engineers involved in the development of simulation tools.

12260.39 RUR

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Cantot Pascal Simulation and Modeling of Systems of Systems


Systems engineering is the design of a complex interconnection of many elements (a system) to maximize a specific measure of system performance. It consists of two parts: modeling, in which each element of the system and its performance criteria are described; and optimization in which adjustable elements are tailored to allow peak performance. Systems engineering is applied to vast numbers of problems in industry and the military. An example of systems engineering at work is the control of the timing of thousands of city traffic lights to maximize traffic flow. The complex and intricate field of electronics and computers is perfectly suited for systems engineering analysis and in turn, advances in communications and computer technology have made more advanced systems engineering problems solvable. Thus, the two areas fed off of one another. This book is a basic introduction to the use of models and methods in the engineering design of systems. It is aimed at students as well as practicing engineers. The concept of the «systems of systems» is discussed extensively, after a critical comparison of the different definitions and a range of various practical illustrations. It also provides key answers as to what a system of systems is and how its complexity can be mastered.

18897.6 RUR

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Josh Laurito Financial Simulation Modeling in Excel. A Step-by-Step Guide


I've worked with simulation in business for over 20 years, and Allman really nails it with this book. I admit that I own his previous book on structured finance cash flows, but I was surprised by what I found in here. He addresses the fundamental questions of how decision makers react to simulations and his read was very much in accordance with what I've experienced myself. When it came to the nuts and bolts of describing the different types of simulation analysis the book becomes incredibly detailed. There is working code and models for a fantastic array of the most common simulation problems. If you're so inclined, the book very carefully steps through the tricky math needed to really understand the theory behind stochastic modeling in finance. If you're preparing models that include any kind of randomization or stochastic modeling component, this book is a must-read, a tremendous value and time-saver. – David Brode of The Brode Group A practical guide to understanding and implementing financial simulation modeling As simulation techniques become more popular among the financial community and a variety of sub-industries, a thorough understanding of theory and implementation is critical for practitioners involved in portfolio management, risk management, pricing, and capital budgeting. Financial Simulation Modeling in Excel contains the information you need to make the most informed decisions possible in your professional endeavors. Financial Simulation Modeling in Excel contains a practical, hands-on approach to learning complex financial simulation methodologies using Excel and VBA as a medium. Crafted in an easy to understand format, this book is suitable for anyone with a basic understanding of finance and Excel. Filled with in-depth insights and expert advice, each chapter takes you through the theory behind a simulation topic and the implementation of that same topic in Excel/VBA in a step-by-step manner. Organized in an easy-to-follow fashion, this guide effectively walks you through the process of creating and implementing risk models in Excel A companion website contains all the Excel models risk experts and quantitative analysts need to practice and confirm their results as they progress Keith Allman is the author of other successful modeling books, including Corporate Valuation Modeling and Modeling Structured Finance Cash Flows with Microsoft Excel Created for those with some background in finance and experience in Excel, this reliable resource shows you how to effectively perform sound financial simulation modeling, even if you've yet to do extensive modeling up to this point in your professional or academic career.

8450.15 RUR

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Huamin Zhou Computer Modeling for Injection Molding. Simulation, Optimization, and Control


This book covers a wide range of applications and uses of simulation and modeling techniques in polymer injection molding, filling a noticeable gap in the literature of design, manufacturing, and the use of plastics injection molding. The authors help readers solve problems in the advanced control, simulation, monitoring, and optimization of injection molding processes. The book provides a tool for researchers and engineers to calculate the mold filling, optimization of processing control, and quality estimation before prototype molding.

14175.83 RUR

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Lifeng Zhang CFD Modeling and Simulation in Materials Processing 2016


This collection explores computational fluid dynamics (CFD) modeling and simulation of engineering processes, with contributions from researchers and engineers involved in the modeling of multiscale and multiphase phenomena in material processing systems. The papers cover the following processes: Iron and Steelmaking (Tundish, Casting, Converter, Blast Furnace); Microstructure Evolution; Casting with External Field Interaction; and Smelting, Degassing, Ladle Processing, Mechanical Mixing, and Ingot Casting. The collection also covers applications of CFD to engineering processes, and demonstrates how CFD can help scientists and engineers to better understand the fundamentals of engineering processes.

18897.52 RUR

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Mohammed Ferdjallah Introduction to Digital Systems. Modeling, Synthesis, and Simulation Using VHDL


A unique guide to using both modeling and simulation in digital systems design Digital systems design requires rigorous modeling and simulation analysis that eliminates design risks and potential harm to users. Introduction to Digital Systems: Modeling, Synthesis, and Simulation Using VHDL introduces the application of modeling and synthesis in the effective design of digital systems and explains applicable analytical and computational methods. Through step-by-step explanations and numerous examples, the author equips readers with the tools needed to model, synthesize, and simulate digital principles using Very High Speed Integrated Circuit Hardware Description Language (VHDL) programming. Extensively classroom-tested to ensure a fluid presentation, this book provides a comprehensive overview of the topic by integrating theoretical principles, discrete mathematical models, computer simulations, and basic methods of analysis. Topical coverage includes: Digital systems modeling and simulation Integrated logic Boolean algebra and logic Logic function optimization Number systems Combinational logic VHDL design concepts Sequential and synchronous sequential logic Each chapter begins with learning objectives that outline key concepts that follow, and all discussions conclude with problem sets that allow readers to test their comprehension of the presented material. Throughout the book, VHDL sample codes are used to illustrate circuit design, providing guidance not only on how to learn and master VHDL programming, but also how to model and simulate digital circuits. Introduction to Digital Systems is an excellent book for courses in modeling and simulation, operations research, engineering, and computer science at the upper-undergraduate and graduate levels. The book also serves as a valuable resource for researchers and practitioners in the fields of operations research, mathematical modeling, simulation, electrical engineering, and computer science.

12168.21 RUR

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Mohammed Ferdjallah Introduction to Digital Systems. Modeling, Synthesis, and Simulation Using VHDL


A unique guide to using both modeling and simulation in digital systems design Digital systems design requires rigorous modeling and simulation analysis that eliminates design risks and potential harm to users. Introduction to Digital Systems: Modeling, Synthesis, and Simulation Using VHDL introduces the application of modeling and synthesis in the effective design of digital systems and explains applicable analytical and computational methods. Through step-by-step explanations and numerous examples, the author equips readers with the tools needed to model, synthesize, and simulate digital principles using Very High Speed Integrated Circuit Hardware Description Language (VHDL) programming. Extensively classroom-tested to ensure a fluid presentation, this book provides a comprehensive overview of the topic by integrating theoretical principles, discrete mathematical models, computer simulations, and basic methods of analysis. Topical coverage includes: Digital systems modeling and simulation Integrated logic Boolean algebra and logic Logic function optimization Number systems Combinational logic VHDL design concepts Sequential and synchronous sequential logic Each chapter begins with learning objectives that outline key concepts that follow, and all discussions conclude with problem sets that allow readers to test their comprehension of the presented material. Throughout the book, VHDL sample codes are used to illustrate circuit design, providing guidance not only on how to learn and master VHDL programming, but also how to model and simulate digital circuits. Introduction to Digital Systems is an excellent book for courses in modeling and simulation, operations research, engineering, and computer science at the upper-undergraduate and graduate levels. The book also serves as a valuable resource for researchers and practitioners in the fields of operations research, mathematical modeling, simulation, electrical engineering, and computer science.

12474.91 RUR

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Camelia Voinea Florela Political Attitudes. Computational and Simulation Modelling


Political Science has traditionally employed empirical research and analytical resources to understand, explain and predict political phenomena. One of the long-standing criticisms against empirical modeling targets the static perspective provided by the model-invariant paradigm. In political science research, this issue has a particular relevance since political phenomena prove sophisticated degrees of context-dependency whose complexity could be hardly captured by traditional approaches. To cope with the complexity challenge, a new modeling paradigm was needed. This book is concerned with this challenge. Moreover, the book aims to reveal the power of computational modeling of political attitudes to reinforce the political methodology in facing two fundamental challenges: political culture modeling and polity modeling. The book argues that an artificial polity model as a powerful research instrument could hardly be effective without the political attitude and, by extension, the political culture computational and simulation modeling theory, experiments and practice. This book: Summarizes the state of the art in computational modeling of political attitudes, with illustrations and examples featured throughout. Explores the different approaches to computational modeling and how the complexity requirements of political science should determine the direction of research and evaluation methods. Addresses the newly emerging discipline of computational political science. Discusses modeling paradigms, agent-based modeling and simulation, and complexity-based modeling. Discusses model classes in the fundamental areas of voting behavior and decision-making, collective action, ideology and partisanship, emergence of social uprisings and civil conflict, international relations, allocation of public resources, polity and institutional function, operation, development and reform, political attitude formation and change in democratic societies. This book is ideal for students who need a conceptual and operational description of the political attitude computational modeling phases, goals and outcomes in order to understand how political attitudes could be computationally modeled and simulated. Researchers, Governmental and international policy experts will also benefit from this book.

6455.79 RUR

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