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Linear Algebra with Applications: .
Linear Algebra with Applications is designed for the introductory course in linear algebra for students within engineering, mathematics, business management, and physics.
Linear Algebra with Applications: .
Item #: 23871786

Linear Algebra with Applications: .

Item #: 23871786

THB 5012

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Linear Algebra with Applications is designed for the introductory course in linear algebra for students within engineering, mathematics, business management, and physics.
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What Stands Out

Comprehensive Coverage
This edition offers an extensive range of topics, ensuring a thorough understanding of linear algebra concepts essential for both academic and real-world applications.
Practical Applications
Real-world examples and applications are integrated throughout, enhancing the relevance of linear algebra in fields such as engineering, computer science, and economics.
Enhanced Pedagogy
Updated instructional design, including clearer explanations and diverse exercise sets, promotes effective learning and caters to various learning styles for students.

Product Details

Discover and buy the 9th edition of Linear Algebra with Applications book on Ubuy Thailand. Enhance your mathematical knowledge with this essential resource.
  • Linear Algebra with Applications, Ninth Edition is designed for the introductory course in linear algebra for students within engineering, mathematics, business management, and physics. Updated to increase clarity and improve student learning, the author provides a flexible blend of theory and engaging applications. The material in Linear Algebra with Applications, Ninth Edition is arranged into three parts that contain core and optional sections: Part 1 introduces the basics, discussing systems of linear equations, vectors in Rn matrices, linear transformations, determinants, eigenvalues, and eigenspaces. Part 2 builds on this material to discuss general vector spaces, and includes such topics as the Rank/Nullity Theorem, inner products and coordinate representation. Part 3 completes the course with important ideas and methods in Numerical Linear Algebra including ill-conditioning, pivoting, LU decomposition and Singular Value Decomposition. Throughout the text the author provides interesting applications, ranging from theoretical applications such as the use of linear algebra in differential equations, to many practical applications in the fields of electrical engineering, traffic analysis, relativity, history, and more.
Publisher Jones & Bartlett Learning
Publication date December 15, 2017
Edition 9th
Language English
Print length 594 pages
ISBN-10 1284120090
ISBN-13 978-1284120097
Item Weight 2.95 pounds (1.34 kg)
Dimensions 8.5 x 1 x 10.75 inches (21.6 x 2.5 x 27.3 cm)

Who Should Buy?

Suitable For
  • Undergraduate Students

    Ideal for college students requiring a clear introduction to linear algebra concepts applicable in various fields.

  • Self-Learners

    Great for individuals self-studying who need comprehensive explanations and practical applications of linear algebra.

  • Educators

    Useful for teachers seeking a robust textbook with structured content and pedagogical aids for effective teaching.

Not Suitable For
  • Advanced Mathematicians

    May not satisfy advanced users needing in-depth theoretical discussions beyond standard linear algebra applications.

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Linear Editorial Review

Linear Algebra with Applications provides a comprehensive approach to mastering linear algebra, ideal for students as the text includes numerous practice problems and a robust index, facilitating self-study and understanding. Readers praise its clear methodology that simplifies complex concepts, making it a valuable resource for foundational learning, particularly beneficial for those interested in machine learning frameworks. However, some critiques mention the lack of proofs for certain theorems, which might be a drawback for those seeking an in-depth theoretical approach. Overall, it's an excellent choice for both coursework and independent study, offering 594 pages of detailed content and practical exercises.

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Pros

  • Clear explanations of complex concepts
  • Numerous practice problems available
  • Good index for quick reference
  • Suitable for self-study
  • Strong foundational materials for machine learning

Cons

  • Some theorems are presented without proofs

Product Price History

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