Podcast
Questions and Answers
In the Gram-Schmidt process, the set of vectors S' generated is always orthonormal.
In the Gram-Schmidt process, the set of vectors S' generated is always orthonormal.
False
The Gram-Schmidt process can be applied to any set of vectors in any inner product space.
The Gram-Schmidt process can be applied to any set of vectors in any inner product space.
False
The Gram-Schmidt process is named after Jørgen Pedersen Gram and Erhard Schmidt.
The Gram-Schmidt process is named after Jørgen Pedersen Gram and Erhard Schmidt.
True
The Gram-Schmidt process is used in the QR decomposition of a matrix.
The Gram-Schmidt process is used in the QR decomposition of a matrix.
Signup and view all the answers
The Gram-Schmidt process is a method for normalizing a set of vectors in a vector space.
The Gram-Schmidt process is a method for normalizing a set of vectors in a vector space.
Signup and view all the answers
