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lisyarus.github.io | ||
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thenumb.at
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www.johndcook.com
You can use quaternions to describe rotations and quaternion products to carry out these rotations. These products have the form qpq* where q represents a rotation, q* is its conjugate, and p is the the vector being rotated. (That's leaving out some details that we'll get to shortly.) The primary advantage of using quaternions to |
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liorsinai.github.io
Interpolation using quaternions. |
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www.appletonaudio.com
[AI summary] The text discusses various aspects of rotation matrices, including their definition, application in rotating vectors, eigenvalues and eigenvectors, and their relation to matrix exponentials. It also touches on algorithms like QR decomposition and the academic use of rotations to map vectors. |
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