9783030460396 - differential geometry and lie groups: a computational perspective: 12 (geometry and computing, 12) de gallier, jean; quaintance, jocelyn (20 resultados)

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Editorial: Springer, 2020
Serie: Geometry and Computing, Libro 11 de 12. Libro 11 de 12 - Geometry and Computing
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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Serie: Geometry and Computing, Libro 11 de 12. Libro 11 de 12 - Geometry and Computing
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Serie: Geometry and Computing, Libro 11 de 12. Libro 11 de 12 - Geometry and Computing
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Serie: Geometry and Computing, Libro 11 de 12. Libro 11 de 12 - Geometry and Computing
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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Serie: Geometry and Computing, Libro 11 de 12. Libro 11 de 12 - Geometry and Computing
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Serie: Geometry and Computing, Libro 11 de 12. Libro 11 de 12 - Geometry and Computing
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Serie: Geometry and Computing, Libro 11 de 12. Libro 11 de 12 - Geometry and Computing
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Serie: Geometry and Computing, Libro 11 de 12. Libro 11 de 12 - Geometry and Computing
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Serie: Geometry and Computing, Libro 11 de 12. Libro 11 de 12 - Geometry and Computing
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Hardcover. Condición: new. Hardcover. This textbook offers an introduction to differential geometry designed for readers interested in modern geometry processing. Working from basic undergraduate prerequisites, the authors develop manifold theory and Lie groups from scratch; fundamental topics in Riemannian geometry follow, culm…inating in the theory that underpins manifold optimization techniques. Students and professionals working in computer vision, robotics, and machine learning will appreciate this pathway into the mathematical concepts behind many modern applications.Starting with the matrix exponential, the text begins with an introduction to Lie groups and group actions. Manifolds, tangent spaces, and cotangent spaces follow; a chapter on the construction of manifolds from gluing data is particularly relevant to the reconstruction of surfaces from 3D meshes. Vector fields and basic point-set topology bridge into the second part of the book, which focuses on Riemannian geometry.Chapters on Riemannian manifolds encompass Riemannian metrics, geodesics, and curvature. Topics that follow include submersions, curvature on Lie groups, and the Log-Euclidean framework. The final chapter highlights naturally reductive homogeneous manifolds and symmetric spaces, revealing the machinery needed to generalize important optimization techniques to Riemannian manifolds. Exercises are included throughout, along with optional sections that delve into more theoretical topics.Differential Geometry and Lie Groups: A Computational Perspective offers a uniquely accessible perspective on differential geometry for those interested in the theory behind modern computing applications. Equally suited to classroom use or independent study, the text will appeal to students and professionals alike; only a background in calculus and linear algebra is assumed. Readers looking to continue on to more advanced topics will appreciate the authors companion volume Differential Geometry and Lie Groups: A Second Course. This textbook offers an introduction to differential geometry designed for readers interested in modern geometry processing. The final chapter highlights naturally reductive homogeneous manifolds and symmetric spaces, revealing the machinery needed to generalize important optimization techniques to Riemannian manifolds. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Idioma: Inglés
Editorial: Springer, 2020
Serie: Geometry and Computing, Libro 11 de 12. Libro 11 de 12 - Geometry and Computing
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 777 pages. 9.50x6.25x1.75 inches. In Stock.

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Serie: Geometry and Computing, Libro 11 de 12. Libro 11 de 12 - Geometry and Computing
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Serie: Geometry and Computing, Libro 11 de 12. Libro 11 de 12 - Geometry and Computing
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Librería: Brook Bookstore, Milano, MI, ItaliaBrook Bookstore
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Editorial: Springer, 2020
Serie: Geometry and Computing, Libro 11 de 12. Libro 11 de 12 - Geometry and Computing
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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Idioma: Inglés
Editorial: Springer, 2020
Serie: Geometry and Computing, Libro 11 de 12. Libro 11 de 12 - Geometry and Computing
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook offers an introduction to differential geometry designed for readers interested in modern geometry processing. Working from basic undergraduate prerequisites, the authors develop manifold theory and Lie groups from scratch; fundamental topic…s in Riemannian geometry follow, culminating in the theory that underpins manifold optimization techniques. Students and professionals working in computer vision, robotics, and machine learning will appreciate this pathway into the mathematical concepts behind many modern applications.Starting with the matrix exponential, the text begins with an introduction to Lie groups and group actions. Manifolds, tangent spaces, and cotangent spaces follow; a chapter on the construction of manifolds from gluing data is particularly relevant to the reconstruction of surfaces from 3D meshes. Vector fields and basic point-set topology bridge into the second part of the book, which focuses on Riemannian geometry.Chapters on Riemannian manifolds encompass Riemannian metrics, geodesics, and curvature. Topics that follow include submersions, curvature on Lie groups, and the Log-Euclidean framework. The final chapter highlights naturally reductive homogeneous manifolds and symmetric spaces, revealing the machinery needed to generalize important optimization techniques to Riemannian manifolds. Exercises are included throughout, along with optional sections that delve into more theoretical topics.Differential Geometry and Lie Groups: A Computational Perspective offers a uniquely accessible perspective on differential geometry for those interested in the theory behind modern computing applications. Equally suited to classroom use or independent study, the text will appeal to students and professionals alike; only a background in calculus and linear algebra is assumed. Readers looking to continue on to more advanced topics will appreciate the authors' companion volume Differential Geometry and Lie Groups: A Second Course.

Idioma: Inglés
Editorial: Springer Nature Switzerland AG, Cham, 2020
Serie: Geometry and Computing, Libro 11 de 12. Libro 11 de 12 - Geometry and Computing
- Tapa dura
Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Hardcover. Condición: new. Hardcover. This textbook offers an introduction to differential geometry designed for readers interested in modern geometry processing. Working from basic undergraduate prerequisites, the authors develop manifold theory and Lie groups from scratch; fundamental topics in Riemannian geometry follow, culm…inating in the theory that underpins manifold optimization techniques. Students and professionals working in computer vision, robotics, and machine learning will appreciate this pathway into the mathematical concepts behind many modern applications.Starting with the matrix exponential, the text begins with an introduction to Lie groups and group actions. Manifolds, tangent spaces, and cotangent spaces follow; a chapter on the construction of manifolds from gluing data is particularly relevant to the reconstruction of surfaces from 3D meshes. Vector fields and basic point-set topology bridge into the second part of the book, which focuses on Riemannian geometry.Chapters on Riemannian manifolds encompass Riemannian metrics, geodesics, and curvature. Topics that follow include submersions, curvature on Lie groups, and the Log-Euclidean framework. The final chapter highlights naturally reductive homogeneous manifolds and symmetric spaces, revealing the machinery needed to generalize important optimization techniques to Riemannian manifolds. Exercises are included throughout, along with optional sections that delve into more theoretical topics.Differential Geometry and Lie Groups: A Computational Perspective offers a uniquely accessible perspective on differential geometry for those interested in the theory behind modern computing applications. Equally suited to classroom use or independent study, the text will appeal to students and professionals alike; only a background in calculus and linear algebra is assumed. Readers looking to continue on to more advanced topics will appreciate the authors companion volume Differential Geometry and Lie Groups: A Second Course. This textbook offers an introduction to differential geometry designed for readers interested in modern geometry processing. The final chapter highlights naturally reductive homogeneous manifolds and symmetric spaces, revealing the machinery needed to generalize important optimization techniques to Riemannian manifolds. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Idioma: Inglés
Editorial: Springer, 2020
Serie: Geometry and Computing, Libro 11 de 12. Libro 11 de 12 - Geometry and Computing
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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Condición: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.

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Editorial: Springer International Publishing Aug 2020, 2020
Serie: Geometry and Computing, Libro 11 de 12. Libro 11 de 12 - Geometry and Computing
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook offers an introduction to differential geometry designed for readers interested in modern geometry processing. Working from basic undergraduate prerequisites, the authors develop manifold theory and Lie groups from scratch; f…undamental topics in Riemannian geometry follow, culminating in the theory that underpins manifold optimization techniques. Students and professionals working in computer vision, robotics, and machine learning will appreciate this pathway into the mathematical concepts behind many modern applications.Starting with the matrix exponential, the text begins with an introduction to Lie groups and group actions. Manifolds, tangent spaces, and cotangent spaces follow; a chapter on the construction of manifolds from gluing data is particularly relevant to the reconstruction of surfaces from 3D meshes. Vector fields and basic point-set topology bridge into the second part of the book, which focuses on Riemannian geometry.Chapters on Riemannian manifolds encompass Riemannian metrics, geodesics, and curvature. Topics that follow include submersions, curvature on Lie groups, and the Log-Euclidean framework. The final chapter highlights naturally reductive homogeneous manifolds and symmetric spaces, revealing the machinery needed to generalize important optimization techniques to Riemannian manifolds. Exercises are included throughout, along with optional sections that delve into more theoretical topics.Differential Geometry and Lie Groups: A Computational Perspective offers a uniquely accessible perspective on differential geometry for those interested in the theory behind modern computing applications. Equally suited to classroom use or independent study, the text will appeal to students and professionals alike; only a background in calculus and linear algebra is assumed. Readers looking to continue on to more advanced topics will appreciate the authors' companion volume Differential Geometry and Lie Groups: A Second Course. 796 pp. Englisch.

Idioma: Inglés
Editorial: Springer International Publishing, 2020
Serie: Geometry and Computing, Libro 11 de 12. Libro 11 de 12 - Geometry and Computing
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Librería: moluna, Greven, Alemaniamoluna
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Illuminates the mathematical theory behind modern geometry processingOffers a uniquely accessible entry-point that is suitable for students and professionals alikeBuilds the mathematical theory behind modern… applications in medical imaging, .

Idioma: Inglés
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Serie: Geometry and Computing, Libro 11 de 12. Libro 11 de 12 - Geometry and Computing
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Buch. Condición: Neu. Differential Geometry and Lie Groups | A Computational Perspective | Jean Gallier (u. a.) | Buch | Geometry and Computing | xv | Englisch | 2020 | Springer | EAN 9783030460396 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot…]com | Anbieter: preigu Print on Demand.

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Editorial: Springer, Springer Aug 2020, 2020
Serie: Geometry and Computing, Libro 11 de 12. Libro 11 de 12 - Geometry and Computing
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This textbook offers an introduction to differential geometry designed for readers interested in modern geometry processing. Working from basic undergraduate prerequisites, the authors develop manifold theory and Lie groups from scratch; funda…mental topics in Riemannian geometry follow, culminating in the theory that underpins manifold optimization techniques. Students and professionals working in computer vision, robotics, and machine learning will appreciate this pathway into the mathematical concepts behind many modern applications.Starting with the matrix exponential, the text begins with an introduction to Lie groups and group actions. Manifolds, tangent spaces, and cotangent spaces follow; a chapter on the construction of manifolds from gluing data is particularly relevant to the reconstruction of surfaces from 3D meshes. Vector fields and basic point-set topology bridge into the second part of the book, which focuses on Riemannian geometry.Chapters on Riemannian manifolds encompass Riemannian metrics, geodesics, and curvature. Topics that follow include submersions, curvature on Lie groups, and the Log-Euclidean framework. The final chapter highlights naturally reductive homogeneous manifolds and symmetric spaces, revealing the machinery needed to generalize important optimization techniques to Riemannian manifolds. Exercises are included throughout, along with optional sections that delve into more theoretical topics.Differential Geometry and Lie Groups: A Computational Perspective offers a uniquely accessible perspective on differential geometry for those interested in the theory behind modern computing applications. Equally suited to classroom use or independent study, the text will appeal to students and professionals alike; only a background in calculus and linear algebra is assumed. Readers looking to continue on to more advanced topics will appreciate the authors¿ companion volume Differential Geometry and Lie Groups: A Second Course.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 796 pp. Englisch.