Lecture 5 Flashcards

1
Q

What is the main idea behind SVD (Single Value Decomposition)?

A
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2
Q

How do you solve a LLS problem using SVD?

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3
Q

What is the cost of the SVD method? When is it best to use this method?

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4
Q

How can SVD and the eucl norm of a matrix a be used?

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5
Q

How can the SVD be used for the pseudoinverse?

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6
Q

How can the SVD be used for the condition number?

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7
Q

ERROR propagation, does not make sense without own notes

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8
Q

How to the three different methods compare? How sensitive is each method?

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9
Q

What is a projection?

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10
Q

What is QR decomposition with column pivoting?

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11
Q
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