Advanced Problem Solving Using Maple: Applied Mathematics, Operations Research, Business Analytics, and Decision Analysis

✍ Scribed by William P. Fox, William Bauldry

• Publisher: Chapman and Hall/CRC
• Year: 2020
• Tongue: English
• Leaves: 405
• Series: Textbooks in Mathematics
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Dedication
Contents
Preface
1 Introduction to Problem Solving and Maple
2 Discrete Dynamical Models
3 Problem Solving with Single-Variable Optimization
4 Problem Solving with Multivariable Constrained and Unconstrained Optimization
5 Problem Solving with Linear Systems of Equations Using Linear Algebra Techniques
6 Review of Regression Models and Advanced Regression Models
7 Problem Solving with Game Theory
8 Introduction to Problem Solving with Multi-Attribute Decision Making
Index