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Exploring Linear Algebra: Labs and Projects with Mathematica ® de Crista Arangala

Exploring Linear Algebra: Labs and Projects with Mathematica ®: Textbooks in Mathematics

Autor Crista Arangala
en Limba Engleză Hardback – 26 feb 2025
This text focuses on the primary topics in a first course in Linear Algebra. The author includes additional advanced topics related to data analysis, singular value decomposition and connections to differential equations.  This is a lab text that would lead a class through Linear Algebra using Mathematica demonstrations and Mathematica coding.
The book includes interesting examples embedded in the projects. Examples include the discussions of “Lights Out”, Nim, the Hill Cipher, and others.

The 2nd Edition contains:
  • Additional Theorems and Problems for students to prove/disprove (these act as theory exercises at the end of most sections of the text).
  • Additional sections that support Data Analytics techniques, such as Kroenecker sums and products, LU decomposition of the Vandermonde matrix. 
  • Updated and expanded end of chapter projects.
Instructors and students alike have enjoyed this popular book as it offers the opportunity to add Mathematica to the Linear Algebra course.
 I would definitely use the book (specifically the projects at the end of each section) to motivate undergraduate research.—Nick Luke, North Carolina A&T State University  
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Paperback (3) 34830 lei  6-8 săpt. +1554 lei  7-13 zile
  CRC Press – 26 feb 2025 41608 lei  3-5 săpt. +1554 lei  7-13 zile
  CRC Press – 14 oct 2024 34830 lei  6-8 săpt.
  CRC Press – 18 mar 2019 42963 lei  6-8 săpt.
Hardback (3) 49919 lei  6-8 săpt.
  CRC Press – 13 noi 2014 49919 lei  6-8 săpt.
  CRC Press – 26 feb 2025 85527 lei  6-8 săpt.
  CRC Press – 18 mar 2019 101194 lei  6-8 săpt.

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Specificații

ISBN-13: 9781032940243
ISBN-10: 1032940247
Pagini: 168
Dimensiuni: 156 x 234 mm
Greutate: 0.41 kg
Ediția:2
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Textbooks in Mathematics

Public țintă

Undergraduate Advanced

Cuprins

1. Matrix Operations                                                                                                      
2. Invertibility                                                                                                                     
3. Vector Spaces
4. Orthogonality                                                                                                            
5. Matrix Decomposition with Applications                                             
6. Applications to Differential Equations

Notă biografică

Dr. Crista Arangala is Professor of Mathematics and Chair of the Department of Mathematics and Statistics at Elon University in North Carolina. She and has been teaching and researching in a variety of fields including in inverse problems, applied partial differential equations, applied linear algebra, mathematical modeling and service learning education. She runs a traveling science museum with her Elon University students in Kerala, India.  Dr. Arangala was chosen to be a Fulbright Scholar in 2014 as a visiting lecturer at the University of Colombo where she continued her projects in inquiry learning in Linear Algebra and began working with a modeling team focusing on Dengue fever research. Dr. Arangala has published several textbooks that implores inquiry learning techniques including Exploring Linear Algebra: Labs and Projects with Matlab and Mathematical Modeling: Branching Beyond Calculus.

Descriere

This text focuses on the primary topics in a first course in Linear Algebra including additional advanced topics related to data analysis, singular value decomposition and connections to differential equations.  This is a lab text that would lead a class through Linear Algebra using Mathematica demonstrations and Mathematica coding

Recenzii

"The presented book provides readers with a set of interesting exercises and problems regarding linear algebra. The book covers the scope of an undergraduate course … excellent supplementary material for a linear algebra course …"
—Zentralblatt MATH 1320