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Many books explain the theory of atomistic computer simulations; this book teaches you how to run them
This book includes checklists for planning projects, analyzing output files, and for troubleshooting, as well as pseudo keywords and case studies.
The authors provide an accompanying blog for the book with worked examples, and additional material and references: http://www.atomisticsimulations.org/.
Performance and Reliability Analysis of Computer Systems: An Example-Based Approach Using the SHARPE Software Package provides a variety of probabilistic, discrete-state models used to assess the reliability and performance of computer and communication systems. The models included are combinatorial reliability models (reliability block diagrams, fault trees and reliability graphs), directed, acyclic task precedence graphs, Markov and semi-Markov models (including Markov reward models), product-form queueing networks and generalized stochastic Petri nets. A practical approach to system modeling is followed; all of the examples described are solved and analyzed using the SHARPE tool.
The Laboratory Computer: A Practical Guide for Physiologists and Neuroscientists introduces the reader to both the basic principles and the actual practice of recording physiological signals using the computer.
Justice is blind...but it's not perfect. Everyday, people are convicted or accused of crimes they did not commit. Sometimes the accusations are racially motivated, sometimes they are profiled for the clothes they wear, and sometimes they are just at the wrong place at the wrong time. The 15 people in this book all share one thing in common: they are innocent, but still sent to prison. You will never look at a court room the same way again!
Here is a comprehensive guide to the incorporation of computer simulation in all levels of the planning function of an organization. Writing for managers of planning, planners, and programmers, the author enables readers to gain an overall understanding of the potential role of simulation in planning, to apply simulation to their own particular needs, and to translate planning concepts into computer instructions. Nersesian demonstrates that for manager, planner, and programmer alike, simulation is not difficult in concept nor complicated to put into practice. The author argues that simulation is a necessary activity in a planning environment characterized by uncertain futures and rapidly changing conditions. The book is organized into separate chapters, each of which acts as a case study of an aspect in the use of simulation. The synopsis that begins every chapter provides the manager of a planning operation with an appreciation of the general application of simulation to one facet of planning. The chapters themselves focus on particular situations which might befall a planner within the general application of simulation to the planning process. Special appendices--designed to aid programmers who have not had much previous experience in setting up simulation programs--follow each chapter and provide descriptive material and the applicable simulation program. As a comprehensive yet easily understood guide to the benefits of utilizing simulation in the planning process, this book will be an invaluable resource for planners, corporate executives, and programmers.
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