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Mathematics for engineers and scientists labs for Maxima / Seifedine Kadry, PhD, Pauly Awad.

By: Contributor(s): Material type: TextTextPublisher: Toronto : Apple Academic Press, 2019Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 0429469713
  • 9780429469718
  • 9780429891588
  • 042989158X
  • 9780429891571
  • 0429891571
  • 9780429891595
  • 0429891598
Subject(s): DDC classification:
  • 620.001/51 23
LOC classification:
  • QA76.95
Online resources:
Contents:
Introduction to Maxima -- Pre-calculus -- Calculus -- Linear algebra -- Differential equations.
Summary: "This book, Mathematics for Engineers and Scientists Labs for 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. "-- Provided by publisher.
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Introduction to Maxima -- Pre-calculus -- Calculus -- Linear algebra -- Differential equations.

"This book, Mathematics for Engineers and Scientists Labs for 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. "-- Provided by publisher.

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