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Geometric Methods and Applications : For Computer Science and Engineering
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Introduction
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Chapter 2
Basics of Affine Geometry
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Chapter 3
Basic Properties of Convex Sets
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Chapter 4
Embedding an Affine Space in a Vector Space
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Chapter 5
Basics of Projective Geometry
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Chapter 6
Basics of Euclidean Geometry
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Chapter 7
Separating and Supporting Hyperplanes
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Chapter 8
The Cartan–Dieudonné Theorem
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Chapter 9
The Quaternions and the Spaces S 3 , SU(2), SO(3), and ℝ ℙ 3
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Chapter 10
Dirichlet–Voronoi Diagrams and Delaunay Triangulations
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Chapter 11
Basics of Hermitian Geometry
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Chapter 12
Spectral Theorems in Euclidean and Hermitian Spaces
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Chapter 13
Singular Value Decomposition (SVD) and Polar Form
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Chapter 14
Applications of SVD and Pseudo-inverses
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Chapter 15
Quadratic Optimization Problems
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Chapter 16
Schur Complements and Applications
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Chapter 17
Quadratic Optimization and Contour Grouping
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Chapter 18
Basics of Manifolds and Classical Lie Groups: The Exponential Map, Lie Groups, and Lie Algebras
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Chapter 19
Basics of the Differential Geometry of Curves
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Chapter 20
Basics of the Differential Geometry of Surfaces
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Chapter 21
Appendix
Overall attention for this book and its chapters
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Mentioned by
syllabi
2
institutions with syllabi
wikipedia
6
Wikipedia pages
Citations
dimensions_citation
151
Dimensions
Readers on
mendeley
21
Mendeley
Book overview
1. Introduction
2. Basics of Affine Geometry
3. Basic Properties of Convex Sets
4. Embedding an Affine Space in a Vector Space
5. Basics of Projective Geometry
6. Basics of Euclidean Geometry
7. Separating and Supporting Hyperplanes
8. The Cartan–Dieudonné Theorem
9. The Quaternions and the Spaces S 3 , SU(2), SO(3), and ℝ ℙ 3
10. Dirichlet–Voronoi Diagrams and Delaunay Triangulations
11. Basics of Hermitian Geometry
12. Spectral Theorems in Euclidean and Hermitian Spaces
13. Singular Value Decomposition (SVD) and Polar Form
14. Applications of SVD and Pseudo-inverses
15. Quadratic Optimization Problems
16. Schur Complements and Applications
17. Quadratic Optimization and Contour Grouping
18. Basics of Manifolds and Classical Lie Groups: The Exponential Map, Lie Groups, and Lie Algebras
19. Basics of the Differential Geometry of Curves
20. Basics of the Differential Geometry of Surfaces
21. Appendix
Summary
Syllabi
Wikipedia
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
5
syllabi from
2
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
University of Pennsylvania
4
Business, Computer Science
Iowa State University
1
Unknown