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Maple in Mathematics Education and Research

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Table of Contents

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    Book Overview
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    Chapter 1 Your Data Wants You to Ask Better Questions. Do It!
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    Chapter 2 The LegendreSobolev Package and Its Applications in Handwriting Recognition
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    Chapter 3 On the Effective Computation of Stabilizing Controllers of 2D Systems
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    Chapter 4 Using Maple to Analyse Parallel Robots
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    Chapter 5 Studying Wythoff and Zometool Constructions Using Maple
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    Chapter 6 Approximate GCD in a Bernstein Basis
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    Chapter 7 Using Maple to Compute the Intersection Curve of Two Quadrics: Improving the Intersectplot Command
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    Chapter 8 Exact Parametric Solutions for the Intersections of Quadric Surfaces Using MAPLE
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    Chapter 9 Decomposing the Parameter Space of Biological Networks via a Numerical Discriminant Approach
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    Chapter 10 The Z_Polyhedra Library in Maple
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    Chapter 11 Detecting Singularities Using the PowerSeries Library
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    Chapter 12 A Maple Package for the Symbolic Computation of Drazin Inverse Matrices with Multivariate Transcendental Functions Entries
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    Chapter 13 A Poly-algorithmic Quantifier Elimination Package in Maple
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    Chapter 14 The Creation of Animated Graphs to Develop Computational Thinking and Support STEM Education
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    Chapter 15 Effective Problem Solving Using SAT Solvers
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    Chapter 16 Using Maple to Make Manageable Matrices
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    Chapter 17 Use of Maple and Möbius in an Undergraduate Course on Cryptography
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    Chapter 18 Enhance Faculty Experience and Skills Using Maple in the 21st Century Classroom
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    Chapter 19 Undergraduate Upper Division Quantum Mechanics: An Experiment in Maple® Immersion
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    Chapter 20 The Fermat-Torricelli Problem of Triangles on the Sphere with Euclidean Metric: A Symbolic Solution with Maple
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    Chapter 21 Using Leslie Matrices as the Application of Eigenvalues and Eigenvectors in a First Course in Linear Algebra
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    Chapter 22 Transforming Maple into an Intelligent Model-Tracing Math Tutor
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    Chapter 23 A Heilbronn Type Inequality for Plane Nonagons
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    Chapter 24 PseudoLinearSystems – A Maple Package for Studying Systems of Pseudo-Linear Equations
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    Chapter 25 Machine Learning to Improve Cylindrical Algebraic Decomposition in Maple
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    Chapter 26 Ball Arithmetic as a Tool in Computer Algebra
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    Chapter 27 The Lie Algebra of Vector Fields Package with Applications to Mappings of Differential Equations
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    Chapter 28 Polynomial Factorization in Maple 2019
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    Chapter 29 Distributive Laws Between the Operads $${{\,\mathrm{\textit{Lie}}\,}}$$ and $${{\,\mathrm{\textit{Com}}\,}}$$
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    Chapter 30 Classifying Discrete Structures by Their Stabilizers
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    Chapter 31 How Maple Has Improved Student Understanding in Differential Equations
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Title
Maple in Mathematics Education and Research
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-41258-6
ISBNs
978-3-03-041257-9, 978-3-03-041258-6
Editors

Jürgen Gerhard, Ilias Kotsireas

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