Computing tools for modeling, optimization, and simulation interfaces in computer science and operations research

Cover of: Computing tools for modeling, optimization, and simulation |

Published by Kluwer Academic in Boston .

Written in English

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Subjects:

  • Computer simulation.,
  • Computer interfaces.

Edition Notes

Includes bibliographical references.

Book details

Statementedited by Manuel Laguna, José Luis González Velarde.
SeriesOperations research/computer science interfaces series -- ORCS 12
ContributionsLaguna, Manuel., González Velarde, José Luis., IFORMS Computing Society. Conference
Classifications
LC ClassificationsQA76.9.C65 C6563 2000
The Physical Object
Paginationviii, 317 p. :
Number of Pages317
ID Numbers
Open LibraryOL20643184M
ISBN 100792377184
LC Control Number99048353

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Computing Tools for Modeling, Optimization and Simulation reflects the need for preserving the marriage between operations research and computing in order to create more efficient and powerful software tools in the years ahead.

The 17 papers included in this volume were carefully selected to cover a wide range of topics related to the interface between operations research and computer science. Computing Tools for Modeling, Optimization and Simulation: Interfaces in Computer Science and Operations Research Fred Glover (auth.), Manuel Laguna, José Luis González Velarde (eds.) Computing Tools for Modeling, Computing tools for modeling and Simulation reflects the need for preserving the marriage between operations research and computing in order to.

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Algorithms, 3-D modeling, virtual reality, and more. Purchase Systems Simulation and Modeling for Cloud Computing and Big Data Applications - 1st Edition. Print Book & E-Book. ISBN  The book presents a collection of chapters dealing with a wide selection of topics concerning different applications of modeling.

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Soft computing and statistical tools for developing analytical models using experimental data Introduction Artificial neural network (ANN) model Group method of data handling (GMDH) Multiple-linear regression (MLR) method Stepwise regression method (SRM) Examples.

Optimization basics Introduction Computer simulations that demonstrate the value of novel approaches are crucial to developing more flexible and robust power systems operations with h.

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Computing Tools for Modeling, Optimization and Simulation reflects the need for preserving the marriage between operations research and computing in order to. DESSISLAVA A. PACHAMANOVA, PhD, is an Associate Professor of Operations Research at Babson College where she holds the Zwerling Term has published a number of articles in operations research, finance, and engineering journals, and co-authored the Wiley title Robust Portfolio Optimization and Management.

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[Manuel Laguna; José Luis González Velarde] -- Computing Tools for Modeling, Optimization and Simulation reflects the need for preserving the marriage between operations research and computing in order to create more efficient and powerful. Scientific computing, also known as computational science, uses computational methods to solve science and engineering problems.

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Computer modeling and simulation (MS) allows engineers to study and analyze complex systems. Discrete-event system (DES)-MS is used in modern management, industrial engineering, computer science, and the military. As computer speeds and memory capacity increase, so DES-MS tools become more powerful and more widely used in solving real-life problems.

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Learn innovative techniques and methods that will give you the edge in solving real-world financial problems.5/5(1). This chapter introduces simulation tool TRANSSIM (Transportation model Simulation) to simulate transportation models.

TRANSSIM is a tool which simulates and compares the results of different transportation models. A combination of programming languages is used to design this tool and is based on analytical approach to guide optimization strategy.

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Book Description. Modeling and Simulation of Computer Networks and Systems: Methodologies and Applications introduces you to a broad array of modeling and simulation issues related to computer networks and systems.

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Taking a computational approach, this book explains how ANNs provide solutions in real time, and allow the visualization and development of new techniques and architectures.

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