Computer simulation - Wikipedia
Computer simulation is the running of a mathematical model on a computer, the model being designed to represent the behaviour of, or the outcome of, a real-world or physical system. The reliability of some mathematical models can be determined by comparing their results to the real-world outcomes they aim to predict.
Lecture 2 - Modeling and Simulation • Model types: ODE, PDE, State Machines, Hybrid • Modeling approaches: – physics based (white box) – input-output models (black box) • Linear systems • Simulation • Modeling uncertainty
• Form a hypothesis and design a computer experiment to test it. • Collect and model data, estimate errors in the results and analyze simula-tion outputs. • Understand how computers generate (pseudo-)random numbers and vari-ates. • Realize the application scope and limitat ions of computer simulation tech-niques.
3-D solid modeling techniques into simulation, and analysis animation of new designs using commercial CAD/CAE software. The students will have hands-on experience to analyze Structure, Heat Transfer, and Computational Fluid Dynamics …
• Analysis and modeling – Control algorithm design using a simplified model – System trade study - defines overall system design • Simulation – Detailed model: physics, or empirical, or data driven – Design validation using detailed performance model • System development – Control application software – Real-time software platform
Computer Simulations in Science - Stanford Encyclopedia of Philosophy
2013年5月6日 · In its narrowest sense, a computer simulation is a program that is run on a computer and that uses step-by-step methods to explore the approximate behavior of a mathematical model. Usually this is a model of a real-world system (although the system in question might be an imaginary or hypothetical one).
Bottleneck analysis can be performed to discover where work in process, the system is delayed. A simulation study can help in understanding how the system
Modeling and Simulation - UBalt
We identified three distinct processes. Descriptive Analysis includes: Problem Identification & Formulation, Data Collection and Analysis, Computer Simulation Model Development, Validation, Verification and Calibration, and finally Performance Evaluation. Prescriptive Analysis: Optimization or Goal Seeking.
Computer Simulation and Analysis - Semantic Scholar
2009年11月19日 · Computer simulation uses theoretical models to predict the performance of a real system. Computer simulation can be divided into two general categories: analytical and statistical. Analytically based simulation generates system models using …
Introductory Chapter: Computer Simulation - IntechOpen
2019年2月8日 · Computer simulation generates the necessary data that can be used for the evaluation and assessment of any system characteristic and without big restrictions. In some cases, the computer simulation may be the only way to resolve the problems appropriately.