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In the field of computer modeling and simulation, academic scholars face a pressing challenge—how to navigate the complex landscape of both deterministic and stochastic approaches to modeling. This multifaceted arena demands a unified organizational framework, a comprehensive guide that can seamlessly bridge the gap between theory and practical application. Without such a resource, scholars may struggle to harness the full potential of computer modeling, leaving critical questions unanswered and innovative solutions undiscovered. Deterministic and Stochastic Approaches in Computer Modeling and Simulation serves as the definitive solution to the complex problem scholars encounter. By presenting a comprehensive and unified organizational approach, this book empowers academics to conquer the challenges of computer modeling with confidence. It not only provides a classification of modeling methods but also offers a formalized, step-by-step approach to conducting model investigations, starting from defining objectives to analyzing experimental results. For academic scholars seeking a holistic understanding of computer modeling, this book is the ultimate solution. It caters to the diverse needs of scholars by addressing both deterministic and stochastic approaches. Through its structured chapters, it guides readers from the very basics of computer systems investigation to advanced topics like stochastic analytical modeling and statistical modeling. By embracing this book, scholars gain access to a wealth of knowledge and a unified framework that will empower them to excel in their research, ultimately shaping the future of computer modeling and simulation.
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Additional ISBNs
9781668489499
Deterministic and Stochastic Approaches in Computer Modeling and Simulation is written by Romansky; Hinov and published by Engineering Science Reference. The Digital and eTextbook ISBNs for Deterministic and Stochastic Approaches in Computer Modeling and Simulation are 9781668489505, 1668489503 and the print ISBNs are 9781668489475, 1668489473. Additional ISBNs for this eTextbook include 9781668489499.
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