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Présentation Advanced Problem Solving With Maple de William C Bauldry Format Broché
- Livre Littérature jeunesse
Résumé : The text presents modeling topics using Maple as the computer algebra system for solving mathematical equations as well as obtaining plots that help us perform our analyses. It presents cogent applications of applied mathematics, provides discussions of the results obtained, and stimulate thought and analysis of additional applications.
Sommaire: Introduction to Problem Solving and Maple Problem Solving Introduction to Maple The Structure of Maple General Introduction to Maple Maple Training Maple Applications Center Introduction, Basic Concepts, and Techniques in Problem Solving with First Order, Ordinary Differential Equations Introduction Applied First Order Differential Equations and Solution Methods Slope Fields and Qualitative Assessments Analytical Solution of 1st Order ODEs First Order ODEs and Maple Numerical Methods for 1st Order ODEs Introduction, Basic Concepts, and Techniques in Problem Solving with Systems of Ordinary Differential Equations Systems of Differential Equations Applied Systems of Differential Equations Phase Portraits and Qualitative Assessment Solving Homogeneous and Non-Homogeneous Systems of ODEs Numerical Solutions to Systems of Ordinary Differential Equations Problem Solving with Linear, Integer, and Mixed Integer Programming Formulating Linear Programming Problems Understanding Two-Variable Linear Programming: A Graphical Simplex Solving the Linear Program: The Simplex Method and Maple Linear Programming with Internal Maple Commands Sensitivity Analysis with Maple Integer and Mixed Integer Problems with Maple Model Fitting and Linear Regression Introduction Statistical and Probabilistic Problem Solving with Maple Problem Solving with Simulation Introduction Monte Carlo Simulation Probability and Monte Carlo Simulation Using Deterministic Behavior Probability and Monte Carlo Simulation: Using Probabilistic Behavior Case Studies: Applied Simulation Models Index
The Different Curve Fitting Criterion
Plotting the Residuals for a Least-Squares Fit
Case Studies
Introduction
Basic Statistics: Univariate Data
Introduction to Classical Probability
Reliability in Engineering and Business
Case Study: Airlines Overbooking Model
The Normal Distribution
Confidence Intervals and Hypothesis Testing
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