"Simulation Modeling Recent Advances, New Perspectives, and Applications" ed. by Abdo Abou Jaoudé

This book provides a comprehensive overview of simulation modeling and explores its use to solve a large set of problems. It is a useful resource for scholars, researchers, and undergraduate and graduate students in pure and applied mathematics, physical sciences, engineering and technology, computer science, numerical analysis, scientific computing, and science in general.

A simulation is the imitation of the operation of a real-world process or system over time. Simulations require the use of models in which a model represents the key characteristics or behaviors of the selected system or process and the simulation represents the evolution of the model over time. Computers are often used to execute simulations.

Contents
1. The Paradigm of Complex Probability and Quantum Mechanics: The Quantum Harmonic Oscillator with Gaussian Initial Condition – The Position Wavefunction
2. The Paradigm of Complex Probability and Quantum Mechanics: The Quantum Harmonic Oscillator with Gaussian Initial Condition – The Momentum Wavefunction and the Wavefunction Entropies
3. Gravity in the Early Universe
4. The Energy-Momentum Tensor of the Gravitational Field as a Correction to the Einstein Equation
5. Various Problems of General Relativity with and without a Gravitational Field
6. Modeling and Simulation of Fluid Flow and Energy Systems
7. Analysis of Supersonic Free Jets and Impinging Supersonic Jets on Deflector
8. Application of Simulation Modeling to Assess the Operation of Urban Toll Plazas
9. Immersive Innovation: Exploring Interactive Virtual Reality through Distributed Simulations
10. Integrated Multiscale Modeling-Simulation (MMS) and Machine Learning (ML)-Based Design and Development of Novel Technologies, Systems, and Processes
11. Table Tennis and Physics


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