Mathematics

Mathematics for Engineers and Science Labs Using Maxima
Seifedine Kadry, PhD
Pauly Awad

Mathematics for Engineers and Science Labs Using Maxima

Published. Available now.
Pub Date: February 2019
Hardback Price: $149.95 US
Hard ISBN: 9781771887274
Paperback ISBN: 978-1-77463-420-2
E-Book ISBN: 9780429469718
Pages: 306 w/Index
Binding Type: hardbound / ebook / paperback
Notes: 16 color and 158 b/w illustrations


Reviews
“Well written, and the chapters are organized logically. The book covers the essential topics that every engineer and science student needs to know in mathematics, not only theoretically but practically, using the open source software Maxima, so that students can improve their understanding of math by practicing in labs using Maxima. The examples in this book are arranged in increasing order of difficulty, and the step-by-step solutions make the book suitable for every student whatever his or her background or level. I recommend this book to accompany any mathematics book for engineering and science students. However, everyone can use it as a stand-alone for practicing and laboratory purposes.”
—K. Smaili, Professor and Chair, Department of Applied Mathematics, Lebanese University


Now Available in Paperback


This book, Mathematics for Engineers and Science Labs Using Maxima, is designed to be a vital companion to math textbooks covering the topics of pre-calculus, calculus, linear algebra, differential equations, and probability and statistics. While these existing textbooks focus mainly on solving mathematic problems using the old paper-and-pencil method, this book teaches how to solve these problems using Maxima open-source software. Maxima is a system for the manipulation of symbolic and numerical expressions, including differentiation, integration, Taylor series, Laplace transforms, ordinary differential equations, systems of linear equations, polynomials, sets, lists, vectors, and matrices. One of the benefits of using Maxima to solve mathematics problems is the immediacy with which it produces answers. Investing in learning Maxima now will pay off in the future, particularly for students and beginning professionals in mathematics, science, and engineering. The volume will help readers to apply nearly all of the Maxima skills discussed here to future courses and research.

CONTENTS:
Preface

1. Introduction to wxMaxima
1.1 wxMaxima Menus
1.2 wxMaxima Tool Bar
1.3 Using the Input Line
1.4 Using the Button Panel
1.5 The Equations Menu
1.6 Defining Functions
1.7 Complex Numbers

2. Pre-Calculus
2.1 Fundamental Operations with Numbers
2.2 Some Products
2.3 Factoring
2.4 Operations with Polynomials
2.5 Linear Equations
2.6 Linear Inequalities
2.7 Quadratic Equations
2.8 Quadratic Functions
2.9 System of Linear Equations
2.10 Least Common Multiple and Great Common Divisor

3. Calculus
3.1 Complex Numbers
3.2 Vectors
3.3 Functions
3.4 Limits and Continuity
3.5 Derivatives
3.6 Integration
3.7 Sequences and Series
3.8 Curves in 3-D space
3.9 Functions of Several Variables
3.10 Multiple Integrals
3.11 Vector Calculus

4. Linear Algebra
4.1 Introduction to Matrices and Linear Algebra
4.2 Functions in the Algebra menu
4.3 Functions for Creating Matrices
4.4 Functions for Manipulating Matrices
4.5 Matrix Operations
4.6 Functions for Linear Algebra Operations
4.7 Functions for Matrix Decomposition

5. Differential Equations
5.1 Introduction to Differential Equations
5.2 Solving Ordinary Differential Equations
5.3 Linear Systems
5.4 Direction Fields

6. Probability and Statistics
6.1 Introduction to Probability and Statistics
6.2 Probability Computations
6.3 Descriptive Statistical Computations

Index


About the Authors / Editors:
Seifedine Kadry, PhD
Associate Professor, Faculty of Science, Beirut Arab University, Lebanon

Seifedine Kadry, PhD, is currently Associate Professor at Beirut Arab University, Faculty of Sciences, Beirut, Lebanon. He was previously an Associate Professor with American University of the Middle East in Kuwait. He serves as Editor-in-Chief of the Research Journal of Mathematics and Statistics and the ARPN Journal of Systems and Software. He worked as Head of Software Support and Analysis Unit of First National Bank where he designed and implemented the data warehouse and business intelligence; he has published several books and is the author of more than 50 papers on applied math, computer science, and stochastic systems in peer-reviewed journals. At present his research focuses on system prognostics, stochastic systems, and probability and reliability analysis. He received a PhD in computational and applied mathematics in 2007 from the Blaise Pascal University (Clermont-II) - Clermont-Ferrand in France.

Pauly Awad
American University of the Middle East, Kuwait, Lebanon

Pauly Awad is currently affiliated with the American University of the Middle East, Kuwait, where she teaches introduction to mathematics and Calculus. Formerly she taught mathematics at College St. Francois Des Peres Capucins in Beirut, Lebanon. She has a BS degree in computer Science, MS in mathematics education from Lebanese University.




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