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Vectors and Tensors By Example: Including Cartesian Tensors, Quaternions, and Matlab Examples
BIF 161217
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If you have been confused by vectors, vector calculus, tensor analysis, or quaternions, this book is for you.
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Product Details
- Ideal for those confused by vectors, vector calculus, tensor analysis, or quaternions
- Packed with examples, including Matlab examples
- Covers use of Matlab for calculations and solving linear equations
- Teaches how to prove vector identities using Cartesian tensors
- Explains expressions for gradient, divergence, Laplacian, and curl in any curvilinear coordinate system
- Provides understanding of using quaternions to describe vector rotations in 3-D space
| Item Weight | 1 lbs (450 grams) |
Who Should Buy?
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Engineering Students
Perfect for students needing practical applications of vectors and tensors in engineering principles and physics.
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Researchers
Ideal for researchers looking for clear explanations and MATLAB examples relevant to advanced mathematical concepts.
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Self-learners
Great for individuals seeking to independently grasp complex mathematical ideas through examples and illustrations.
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Beginners
Not suitable for those without foundational knowledge of mathematics as it assumes prior understanding of complex concepts.
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Casual Readers
May be too advanced for casual readers seeking light reading and basic explanations without extensive detail.
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Non-mathematicians
Not a good fit for individuals without any interest in mathematics or physics, as it's heavily technical.
Product Description
Vectors and Tensors By Example: Including Cartesian Tensors, Quaternions, and Matlab Examples
Customer Questions & Answers
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Question:
Is this book suitable for beginners?
Answer: Yes, it is perfect for those who have been confused by vectors, vector calculus, tensor analysis, or quaternions. -
Question:
Does the book provide Matlab examples?
Answer: Yes, the book is packed with examples, including Matlab examples. -
Question:
What topics are covered in the book?
Answer: The book covers topics such as Cartesian tensors, quaternions, vector rotations in 3-D space, and more.
Vector Analysis Editorial Review
The book "Vectors and Tensors By Example" is a comprehensive guide that breaks down even the most obscure maths explanations into easy-to-understand language. The book contains all the definitions and equations at the start, explaining the interrelationships between matrices, vectors, and tensors. Although some examples in the book do not come with a development section, the book offers a clear explanation of the math, emphasising the importance of understanding these concepts, rather than just manipulating symbols. Additionally, the book teaches mathematical concepts through a range of Matlab examples, making it easier for beginners to learn. Despite being expensive and not hardcover, the book is well worth the price Considering the clarity and simplicity of the presentation of the material. **
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Pros
- Thorough explanations for maths concepts made easy to understand
- A clear emphasis on the importance of understanding concepts over just manipulating symbols
- Relatively easy introduction to tensors with numerous Matlab examples
Cons
- Expensive
Product Price History
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BIF 161217
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Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Features & Benefits
- Learn how to use Matlab to calculate dot and cross products and solve linear equations.
- Prove any vector identity using Cartesian tensors.
- Derive expressions for gradient, divergence, Laplacian, and curl in any curvilinear coordinate system.
- Understand covariant and contravariant components of a vector.
- Learn the meaning of Christoffel symbols in covariant differentiation.
- Learn how to derive the curvature tensor and how quaternions can be used to describe vector rotations in 3-D space.