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Differential Geometry and Lie Groups: A Computational Perspective Geometry and Computing, 12 1st ed. 2020 Edition
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XCD 242
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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.
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Product Details
| Publisher | Springer |
| Publication date | August 15, 2020 |
| Edition | 1st ed. 2020 |
| Language | English |
| Print length | 792 pages |
| ISBN-10 | 3030460398 |
| ISBN-13 | 978-3030460396 |
| Item Weight | 3.7 pounds (1.68 kg) |
| Dimensions | 6.25 x 1.75 x 9.5 inches (15.9 x 4.4 x 24.1 cm) |
| Book 11 of 12 | Geometry and Computing |
Who Should Buy?
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Mathematics Students
Ideal for advanced mathematics students seeking in-depth knowledge of differential geometry and its computational applications.
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Researchers
Beneficial for researchers exploring connections between geometry, computational methods, and Lie groups in their work.
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Computer Scientists
Useful for computer scientists focused on geometric computing and algorithms involving differential geometry and Lie groups.
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Beginner Students
Not suitable for beginners lacking foundational knowledge in geometry, as the content is advanced and complex.
Product Description
Differential Geometry and Lie Groups: A Computational Perspective Geometry and Computing, 12 1st ed. 2020 Edition
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Pros
- Comprehensive content coverage
- Clear explanations and examples
- Useful computational tools included
- Well-structured for learning
- Great for advanced studies
Cons
- Some complex topics may require more prior knowledge.
Product Price History
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XCD 242
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Features & Benefits
- Introduces differential geometry for modern geometry processing.
- Covers manifold theory and Lie groups from basic prerequisites.
- Focuses on applications in computer vision, robotics, and machine learning.
- Includes exercises and optional theoretical sections for deeper understanding.
- Suitable for both classroom use and independent study.
- Ideal for students and professionals with a background in calculus and linear algebra.
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