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Simulation : a problem-solving approach / Stewart V. Hoover, Ronald F. Perry.

By: Contributor(s): Material type: TextTextPublication details: Reading, Mass. : Addison-Wesley, c1989.Description: xxii, 400, [296] p. : ill. ; 24 cmISBN:
  • 0201168804
Subject(s): DDC classification:
  • 001.434   19
Contents:
I. Simulation in brief -- 1. Simulation analysis and decision making -- 2. Elements of simulation analysis -- ii. Modeling and simulation -- 3. Developing simulation models -- 4. Simulation languages for modeling -- 5. Analytic models and simulation -- iii. Building and validating simulation models -- 6. Data collection and analysis -- 7. Random numbers and random variate generation -- 8. Model verification and validation -- iv. Using simulation models -- 9. Output analysis -- 10. Model experimentation and optimization -- 11. Implementation of simulation results.
Summary: This is a comprehensive, well-organized, methodical, and self- contained treatment of simulation. The authors feature a problem-solving approach with a step-by-step description of simulation analysis. The text’s emphasis is on both the art and the science of simulation modeling, with the primary focus on simulation as a decision-making tool.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Books Books Main library General Stacks 001.434 / HO.S 1989 (Browse shelf(Opens below)) 1 Available 001186

Includes bibliographies and index.

I. Simulation in brief -- 1. Simulation analysis and decision making -- 2. Elements of simulation analysis -- ii. Modeling and simulation -- 3. Developing simulation models -- 4. Simulation languages for modeling -- 5. Analytic models and simulation -- iii. Building and validating simulation models -- 6. Data collection and analysis -- 7. Random numbers and random variate generation -- 8. Model verification and validation -- iv. Using simulation models -- 9. Output analysis -- 10. Model experimentation and optimization -- 11. Implementation of simulation results.

This is a comprehensive, well-organized, methodical, and self- contained treatment of simulation. The authors feature a problem-solving approach with a step-by-step description of simulation analysis. The text’s emphasis is on both the art and the science of simulation modeling, with the primary focus on simulation as a decision-making tool.

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