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