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Consider the problem of finding an eigenvalue of an n × n matrix A when an approximate eigenvector v is known. Since v is not exactly correct, the equation
Av = λv (1)
will probably not have a solution. However, λ can be estimated by a least-squares solution when (1) is viewed properly. Think of v as an n × 1 matrix V, think of λ as a
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