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Simulation software

About: Simulation software is a research topic. Over the lifetime, 7872 publications have been published within this topic receiving 73733 citations.


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Book
24 Mar 2005
TL;DR: This book is accompanied by a full distribution of ALBERTA (Version 1.2) on a CD including an implementation of several model problems including the direct integration of such new or improved methods in existing simulation software.
Abstract: During the last years, scientific computing has become an important research branch located between applied mathematics and applied sciences and engineering. Highly efficient numerical methods are based on adaptive methods, higher order discretizations, fast linear and non-linear iterative solvers, multi-level algorithms, etc. Such methods are integrated in the adaptive finite element software ALBERTA. It is a toolbox for the fast and flexible implementation of efficient software for real life applications, based on modern algorithms. ALBERTA also serves as an environment for improving existent, or developing new numerical methods in an interplay with mathematical analysis and it allows the direct integration of such new or improved methods in existing simulation software. The book is accompanied by a full distribution of ALBERTA (Version 1.2) on a CD including an implementation of several model problems. System requirements for ALBERTA are a Unix/Linux environment with C and FORTRAN Compilers, OpenGL graphics and GNU make. These model implementations serve as a basis for students and researchers for the implementation of their own research projects within ALBERTA.

331 citations

Book
01 Jan 2000
TL;DR: Part 1 Chapter 1-Intro to Simulation Chapter 2-System Dynamics Chapter 3-Simulation Basics Chapter 4-Discrete Event Simulation Chapter 5-Data Collection and Analysis Chapter 6-Model Building Chapter 7-Model Verification and Validation Chapter 8-Simulations Output Analysis Chapter 9-Comparing Systems Chapter 10-Simulating Optimization Chapter 11-Modeling Manufacturing Systems Chapter 12-Models Material Handling Systems Chapter 13-Modelling Service Systems
Abstract: The second edition of Simulation Using ProModel covers the art and science of simulation in general and the use of ProModel simulation software in particular. The lead author is the Chief Technology Advisor for ProModel Corporation. The text is appropriate for use in both a graduate or undergraduate

325 citations

BookDOI
01 Jul 2003
TL;DR: This handbook is a practical, easy- to-follow reference that provides up-to-date knowledge and offers step-by-step procedures for conducting simulation studies that help decision-makers find the optimal courses of action.
Abstract: From the Publisher: Simulation modeling is becoming increasingly popular as a technique for evaluating the performance of resource allocation and alternate operating policies. It is a cost-effective method for improving process performance and can be used to evaluate the performance of capital equipment before making an investment. This handbook is a practical, easy-to-follow reference that provides up-to-date knowledge and offers step-by-step procedures for conducting simulation studies that help decision-makers find the optimal courses of action. Unlike most other books on the subject, this presentation is independent of any particular simulation software, allowing readers to use any commercial package or general purpose programming language.

319 citations

01 Nov 1977
TL;DR: In order to avoid real-time constraints on the processors and communication network in the simulation facility, the simulation timing must use a time-independent algorithm which will accurately model both the time behavior and the input-output behavior of the system.
Abstract: Simulations of computer systems have traditionally been performed on a single sequential computer, even if the system to be simulated contains a number of components which operate concurrently. An alternative would be to simulate these systems on a network of processors. With this approach, each processor would simulate one component of the system, hence the component simulations would proceed concurrently. By exploiting the modularity and concurrency in the system to be simulated, the simulation would itself be modular and concurrent. An accurate simulation must model the time behavior of the system as well as its input-output behavior. In order to avoid real-time constraints on the processors and communication network in the simulation facility, the simulation timing must use a time-independent algorithm. That is, the simulated behavior of each component should not depend on the speed at which the simulation is performed. With this time-independent approach, additional coordination operations are required to prevent deadlock of the simulation. This coordination can be provided without any centralized control. Instead, the program for the simulation of each component is modified t simulations. Additional termination operations are also required to assure that the simulation will terminate under the exact same conditions that the system being simulated would terminate. These operations can also be provided without any centralization of control or real-time constraints. Furthermore a simulation which uses these coordination and termination operations is probably correct. That is, the simulation will accurately model both the time behavior and the input-output behavior of the system.

318 citations

Journal ArticleDOI
TL;DR: A closed form analytical solution for the optimum load that achieves the maximum possible power efficiency under arbitrary input impedance conditions based on the general two-port parameters of the network is presented.
Abstract: Wireless power transfer is commonly realized by means of near-field inductive coupling and is critical to many existing and emerging applications in biomedical engineering This paper presents a closed form analytical solution for the optimum load that achieves the maximum possible power efficiency under arbitrary input impedance conditions based on the general two-port parameters of the network The two-port approach allows one to predict the power transfer efficiency at any frequency, any type of coil geometry and through any type of media surrounding the coils Moreover, the results are applicable to any form of passive power transfer such as provided by inductive or capacitive coupling Our results generalize several well-known special cases The formulation allows the design of an optimized wireless power transfer link through biological media using readily available EM simulation software The proposed method effectively decouples the design of the inductive coupling two-port from the problem of loading and power amplifier design Several case studies are provided for typical applications

317 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202351
2022116
2021255
2020348
2019395
2018402