This book is designed to be a vital companion to math textbooks covering the topics of precalculus, 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.
Rezensionen / Stimmen
"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
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Academic and Postgraduate
Illustrationen
158 s/w Abbildungen
158 Illustrations, black and white
Maße
Höhe: 229 mm
Breite: 152 mm
Dicke: 17 mm
Gewicht
ISBN-13
978-1-77463-420-2 (9781774634202)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Seifedine Kadry, PhD, is currently Associate Professor at Beirut Arab University, Faculty of Sciences, Beirut, Lebanon. He was previously an Associate Professor with the 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 the Software Support and Analysis Unit of First National Bank where he designed and implemented 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 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 and an MS in mathematics education from Lebanese University.
Introduction to wxMAXIMA. Pre Calculus. Calculus. Linear Algebra. Differential Equations.
