Mathematical Modeling with Excel

Mathematical Modeling with Excel, 2nd Edition, introduces students to formulating, solving, and evaluating mathematical models. The textbook presents both established modeling structures and newer model types using a consistent practical structure.

Key areas of study include proportionality, geometric similarity, and empirical modeling. The work also explores dynamic processes and decision methods through discrete dynamical systems, differential equations, simulations, and optimization.

A typical section opens with a general description of a modeling scenario before deriving the formulation with mathematical tools. Step-by-step instructions then guide students through implementing and analyzing each model in Excel, followed by exercises that prompt learners to refine or adapt models to related situations.