PROCESSING EXPERIMENTAL RESULTS AND CREATING AN OPTIMAL MATHEMATICAL MODEL

Abstract

The scientific research focuses on the systematic approach to analyzing experimental data and deriving an effective mathematical model that best represents the underlying phenomena. This process involves data collection, pre-processing, statistical analysis, and model selection. By using optimization techniques and mathematical tools, researchers aim to identify the most accurate and efficient model, ensuring that it not only fits the experimental data but also generalizes well to future experiments. The work typically includes model validation, error analysis, and refinement to ensure the model’s robustness and predictive power. This process is crucial in various scientific and engineering fields where accurate modeling of complex systems is required for prediction and decision-making.