Simulation and Experimental Techniques

Simulation techniques use computer models to mimic real-world systems or processes, allowing researchers to study and analyze scenarios virtually. Experimental techniques involve physically testing or manipulating objects or systems in real life to observe outcomes directly. Simulations are cost-effective and safe for testing complex or risky situations, while experiments provide tangible, real-world data that validate models. Both methods complement each other: simulations enable preliminary investigations, and experiments confirm their accuracy. Together, they help scientists and engineers better understand, design, and optimize systems across various fields.