Asaki thomas (4 Ergebnisse)
Sprache: Englisch
Verlag: Springer (edition 1st ed. 2022), 2023
Serie: Springer Undergraduate Texts in Mathematics and Technology, Buch 29 von 32. Buch 29 von 32 - Springer Undergraduate Texts in Mathematics and Technology
- Softcover
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Paperback. Zustand: Very Good. 1st ed. 2022. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Sprache: Englisch
Verlag: Springer, 2023
Serie: Springer Undergraduate Texts in Mathematics and Technology, Buch 29 von 32. Buch 29 von 32 - Springer Undergraduate Texts in Mathematics and Technology
- Softcover
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Zustand: New. In.
Sprache: Englisch
Verlag: Springer Nature, 2023
Serie: Springer Undergraduate Texts in Mathematics and Technology, Buch 29 von 32. Buch 29 von 32 - Springer Undergraduate Texts in Mathematics and Technology
- Softcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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Paperback. Zustand: Brand New. 549 pages. 10.00x7.01x1.12 inches. In Stock.
Sprache: Englisch
Verlag: Springer, 2023
Serie: Springer Undergraduate Texts in Mathematics and Technology, Buch 29 von 32. Buch 29 von 32 - Springer Undergraduate Texts in Mathematics and Technology
- Softcover
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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 552 | Sprache: Englisch | Produktart: Bücher | This textbook invites students to discover abstract ideas in linear algebra within the context of applications. Diffusion welding and radiography, the two central applications, are introduced early on and used throughout to fram…e the practical uses of important linear algebra concepts. Students will learn these methods through explorations, which involve making conjectures and answering open-ended questions. By approaching the subject in this way, new avenues for learning the material emerge: For example, vector spaces are introduced early as the appropriate setting for the applied problems covered; and an alternative, determinant-free method for computing eigenvalues is also illustrated. In addition to the two main applications, the authors also describe possible pathways to other applications, which fall into three main areas: Data and image analysis (including machine learning); dynamical modeling; and optimization and optimal design. Several appendices are included as well, oneof which offers an insightful walkthrough of proof techniques. Instructors will also find an outline for how to use the book in a course. Additional resources can be accessed on the authors¿ website, including code, data sets, and other helpful material. Application-Inspired Linear Algebra will motivate and immerse undergraduate students taking a first course in linear algebra, and will provide instructors with an indispensable, application-first approach.
