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  • Interactive Linear Algebra

    Interactive Linear Algebra by Plaut, Conrad;

      • GET 10% OFF

      • Publisher's listprice GBP 150.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        71 662 Ft (68 250 Ft + 5% VAT)
      • Discount 10% (cc. 7 166 Ft off)
      • Discounted price 64 496 Ft (61 425 Ft + 5% VAT)

    64 496 Ft

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    Availability

    Not yet published.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1
    • Publisher Chapman and Hall
    • Date of Publication 1 April 2026

    • ISBN 9781041144243
    • Binding Hardback
    • No. of pages212 pages
    • Size 234x156 mm
    • Language English
    • Illustrations 2 Illustrations, black & white; 2 Line drawings, black & white; 2 Tables, black & white
    • 700

    Categories

    Short description:

    Course materials for introductory linear algebra. The software consists of around 75 (and growing) highly visual online apps that are fully self-contained. Immersed in each app, students make problem-solving decisions in real time, while the software handles routine, low-level calculations to show the outcome of each decision.

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    Long description:

    Interactive Linear Algebra and its associated software are course materials for introductory linear algebra. The software consists of around 75 (and growing) highly visual online apps that are fully self-contained. Immersed in each app, students make problem-solving decisions in real time, while the software handles routine, low-level calculations to show the outcome of each decision. Students are unencumbered by tedious “pencil and paper” calculations that STEM professionals haven't used for decades, and focus on rapid problem-solving skills. Traditional exercises involving technology simply refer students to “black box” computational software, while the Interactive Linear Algebra software keeps students fully engaged in the mathematical processes they are learning. This engagement leads to better retention of problem-solving strategies and deeper mathematical insight.


    Interactive Linear Algebra includes standard introductory topics from basic matrix algebra to Singular Value Decomposition. The development of these topics is mathematically rigorous, but the proofs are often inspired by mathematical insights that are imbued by the software. This strategy allows instructors to choose an emphasis on formal proofs that matches the learning objectives of their course.



    • Covers all standard topics in basic linear algebra in a mathematically rigorous way.

    • Permits a broad range of emphasis on mathematical logic and proofs.

    • Allows students to carry out problem-solving steps in real time via immersive apps that handle routine arithmetic and immediately provide the numerical outcome of each student’s decisions.

    • Promotes retention of problem-solving strategies and mathematical insight.

    • Avoids the need for computational software training in class.

    • Saves significant class time, replacing tedious hand-calculations by instructors with brief demonstrations of the self-contained apps.


    Interactive Linear Algebra is intended for use in introductory linear algebra courses for students pursuing STEM degrees. The text allows any level of emphasis on mathematical rigor, from light treatment to a formal introduction to mathematical proofs.

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    Table of Contents:

    1. Matrices and Matrix Algebra. 2. Systems of Linear Equations and Matrices. 3. The Determinant. 4. Euclidean Vector Spaces. 5. Vector Spaces. 6. Finite Dimensional Vector Spaces. 7. Eigenvalues and Eigenvectors.

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