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Advanced Problem Solving Using Maple™:Applied Mathematics, Operations Research, Business Analytics,

Problem Solving Introduction to Maple The Structure of Maple General Introduction to Maple Maple Training Maple Applications Center Discrete Dynamical Models Introduction Modeling with Dynamical Systems2 Linear Systems Equilibrium Values and Long-Term Behavior A Graphical Approach to Equilibrium Values Modeling Nonlinear Discrete Dynamical Systems Systems of Discrete Dynamical Systems Case Studies: Predator–Prey Model, SIR Model, and Military Models Problem Solving with Single-Variable Optimization Single-Variable Unconstrained Optimization Numerical Search Techniques with Maple Problem Solving with Multivariable Constrained and Unconstrained Optimization Unconstrained Optimization: Theory Unconstrained Optimization: Examples Unconstrained Optimization: Numerical Methods Constrained Optimization: The Method of Lagrange Multipliers Constrained Optimization: Kuhn-Tucker Conditions Problem Solving with Linear Systems of Equations Using Linear Algebra Techniques Introduction Introduction to Systems of Equations Models with Unique Solutions Using Systems of Linear Equations Stoichiometric Chemical Balancing and Infinitely Many Solutions Review of Regression Models and Advanced Regression Models Re-Introduction to Regression Modeling, Correlation, and Regression Linear, Nonlinear, and Multiple Regression Advanced Regression Techniques with Examples Conclusions and Summary Problem Solving with Game Theory Introduction Background of Game Theory Examples of Zero-Sum Games Examples of Partial Conflict Games Conclusion Introduction Data Envelopment Analysis Simple Additive Weighting Analytical Hierarchy Process Technique of Order Preference by Similarity to the Ideal Solution Methods of Choosing Weights Index

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