Linear Algebra and Its Applications 5th Edition ISBN: 9780321982384

(12 customer reviews)

Original price was: $125.00.Current price is: $64.99.

Product Details

  • Condition: Like New
  • Publisher: Pearson
  • Language: English
  • Paperback: 576 pages
  • ISBN: 9780321982384
  • Item Weight: 2.69 pounds
  • Dimensions: 8.25 x 1.05 x 10.3 inches
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Description

Description

With traditional linear algebra texts, the course is relatively easy for students during the early stages as material is presented in a familiar, concrete setting. However, when abstract concepts are introduced, students often hit a wall. Instructors seem to agree that certain concepts (such as linear independence, spanning, subspace, vector space, and linear transformations) are not easily understood and require time to assimilate. These concepts are fundamental to the study of linear algebra, so students’ understanding of them is vital to mastering the subject. This text makes these concepts more accessible by introducing them early in a familiar, concrete Rn setting, developing them gradually, and returning to them throughout the text so that when they are discussed in the abstract, students are readily able to understand.

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Additional information
Weight 2.69 lbs
Dimensions 20.955 × 2.667 × 26.162 in
Reviews (12)
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12 reviews for Linear Algebra and Its Applications 5th Edition ISBN: 9780321982384

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  1. Gideon Marcus Ellsworth

    Clear explanations of vector spaces and eigenvalues with practical examples.

  2. Alarice Quinn Westbrook

    Step by step problem solving approach makes tough concepts manageable.

  3. Tavian Cole Hensley

    Excellent coverage of matrix theory and linear transformations.

  4. Seraphine Laurel Montgomery

    Well structured chapters with plenty of practice problems.

  5. Darian Miles Whitcomb

    Great balance between theory and real world applications.

  6. Calder Jameson Briarwood

    Helpful illustrations that clarify abstract concepts.

  7. Elowyn Harper Kincaid

    Strong foundation for engineering and mathematics students.

  8. Ronan Elias Whitfield

    Exercises range from basic to advanced which is very useful.

  9. Isadora Claire Montrose

    Detailed explanations of determinants and orthogonality.

  10. Brennan Scott Halvorsen

    Logical progression of topics makes learning smooth.

  11. Marcelline Paige Norwood

    Perfect reference for both classroom study and self learning.

  12. Zayden Oliver Ashcroft

    Comprehensive and academically rigorous textbook.

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