Isbn: 9783642100321 - Geometric Algebra with Applications in Engineering: 4 (geometry and Computing, 4) (15 results)

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  • Language: English

    Published by Springer (edition Softcover reprint of hardcover 1st ed. 2009), 2010

    3642100325 / 9783642100321

    • Softcover

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    Paperback. Condition: Very Good. 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. Softcover reprint of hardcover 1st ed. 2009.

  • Language: English

    Published by Springer, 2010

    3642100325 / 9783642100321

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  • Language: English

    Published by Springer, 2010

    3642100325 / 9783642100321

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  • Language: English

    Published by Springer 2010-11-23, 2010

    3642100325 / 9783642100321

    • Softcover

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  • Language: English

    Published by Springer, 2010

    3642100325 / 9783642100321

    • Softcover

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    Condition: New. pp. xiv + 386.

  • Language: English

    Published by Springer Berlin Heidelberg, 2008

    3642100325 / 9783642100321

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    Paperback. Condition: Brand New. 400 pages. 8.90x6.00x1.00 inches. In Stock.

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    Language: English

    Published by Springer, 2010

    3642100325 / 9783642100321

    • Softcover

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    Taschenbuch. Condition: Neu. Geometric Algebra with Applications in Engineering | Christian Perwass | Taschenbuch | Geometry and Computing | xiv | Englisch | 2010 | Springer | EAN 9783642100321 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Language: English

    Published by Springer, 2010

    3642100325 / 9783642100321

    • Softcover

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    Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The application of geometric algebra to the engineering sciences is a young, active subject of research. The promise of this field is that the mathematical structure of geometric algebra together with its descriptive power will result in intuitive and more robust algorithms. This book examines all aspects essential for a successful application of geometric algebra: the theoretical foundations, the representation of geometric constraints, and the numerical estimation from uncertain data. Formally, the book consists of two parts: theoretical foundations and applications. The first part includes chapters on random variables in geometric algebra, linear estimation methods that incorporate the uncertainty of algebraic elements, and the representation of geometry in Euclidean, projective, conformal and conic space. The second part is dedicated to applications of geometric algebra, which include uncertain geometry and transformations, a generalized camera model, and pose estimation. Graduate students, scientists, researchers and practitioners will benefit from this book. The examples given in the text are mostly recent research results, so practitioners can see how to apply geometric algebra to real tasks, while researchers note starting points for future investigations. Students will profit from the detailed introduction to geometric algebra, while the text is supported by the author's visualization software, CLUCalc, freely available online, and a website that includes downloadable exercises, slides and tutorials.

  • Language: English

    Published by Springer, 2010

    3642100325 / 9783642100321

    • Softcover

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    Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Language: English

    Published by Springer, 2010

    3642100325 / 9783642100321

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  • Language: English

    Published by Springer, Springer Nov 2010, 2010

    3642100325 / 9783642100321

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The application of geometric algebra to the engineering sciences is a young, active subject of research. The promise of this field is that the mathematical structure of geometric algebra together with its descriptive power will result in intuitive and more robust algorithms. This book examines all aspects essential for a successful application of geometric algebra: the theoretical foundations, the representation of geometric constraints, and the numerical estimation from uncertain data. Formally, the book consists of two parts: theoretical foundations and applications. The first part includes chapters on random variables in geometric algebra, linear estimation methods that incorporate the uncertainty of algebraic elements, and the representation of geometry in Euclidean, projective, conformal and conic space. The second part is dedicated to applications of geometric algebra, which include uncertain geometry and transformations, a generalized camera model, and pose estimation. Graduate students, scientists, researchers and practitioners will benefit from this book. The examples given in the text are mostly recent research results, so practitioners can see how to apply geometric algebra to real tasks, while researchers note starting points for future investigations. Students will profit from the detailed introduction to geometric algebra, while the text is supported by the author's visualization software, CLUCalc, freely available online, and a website that includes downloadable exercises, slides and tutorials. 400 pp. Englisch.

  • Language: English

    Published by Springer, 2010

    3642100325 / 9783642100321

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    Condition: New. Print on Demand pp. xiv + 386 62 Illus.

  • Language: English

    Published by Springer, 2010

    3642100325 / 9783642100321

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    Condition: New. PRINT ON DEMAND pp. xiv + 386.

  • Language: English

    Published by Springer Berlin Heidelberg, 2010

    3642100325 / 9783642100321

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The application of geometric algebra to the engineering sciences is a young, active subject of research. The promise of this field is that the mathematical structure of geometric algebra together with its descriptive power will result in intuitive and mo.

  • Language: English

    Published by Springer Nov 2010, 2010

    3642100325 / 9783642100321

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    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The application of geometric algebra to the engineering sciences is a young, active subject of research. The promise of this field is that the mathematical structure of geometric algebra together with its descriptive power will result in intuitive and more robust algorithms. This book examines all aspects essential for a successful application of geometric algebra: the theoretical foundations, the representation of geometric constraints, and the numerical estimation from uncertain data. Formally, the book consists of two parts: theoretical foundations and applications. The first part includes chapters on random variables in geometric algebra, linear estimation methods that incorporate the uncertainty of algebraic elements, and the representation of geometry in Euclidean, projective, conformal and conic space. The second part is dedicated to applications of geometric algebra, which include uncertain geometry and transformations, a generalized camera model, and pose estimation. Graduate students, scientists, researchers and practitioners will benefit from this book. The examples given in the text are mostly recent research results, so practitioners can see how to apply geometric algebra to real tasks, while researchers note starting points for future investigations. Students will profit from the detailed introduction to geometric algebra, while the text is supported by the author's visualization software, CLUCalc, freely available online, and a website that includes downloadable exercises, slides and tutorials.Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg 400 pp. Englisch.