👉 Pipeline math is an approach to mathematical modeling and problem-solving that involves a series of interconnected steps or "pipelines" where each stage transforms the output of the previous one into the input for the next. This method starts with defining a problem and then systematically breaking it down into simpler, more manageable parts, often using mathematical functions or algorithms. Each pipeline stage might involve data processing, transformation, analysis, and visualization, with the final output serving as input for the subsequent stage. This structured approach ensures clarity, reproducibility, and efficiency in tackling complex problems, as it allows for modular development and easy adjustments or extensions. Pipeline math is particularly useful in fields like data science, machine learning, and engineering, where problems often require iterative refinement and integration of multiple data sources or computational steps.
