Advanced Problem Solving Using Maple™: Applied Mathematics, Operations Research, Business Analytics, and Decision Analysis applies the mathematical modeling process by formulating, building, solving, analyzing, and criticizing mathematical models. Scenarios are developed within the scope of the problem-solving process.
The text focuses on discrete dynamical systems, optimization techniques, single-variable unconstrained optimization and applied problems, and numerical search methods. Additional coverage includes multivariable unconstrained and constrained techniques. Linear algebra techniques to model and solve problems such as the Leontief model, and advanced regression techniques including nonlinear, logistics, and Poisson are covered. Game theory, the Nash equilibrium, and Nash arbitration are also included.
Features:
- The text’s case studies and student projects involve students with real-world problem solving
- Focuses on numerical solution techniques in dynamical systems, optimization, and numerical analysis
- The numerical procedures discussed in the text are algorithmic and iterative
- Maple is utilized throughout the text as a tool for computation and analysis
- All algorithms are provided with step-by-step formats
