Singular matrix E in LSQ subproblem
时间: 2023-12-28 07:05:53 浏览: 47
The LSQ subproblem involves finding a solution to a linear system of equations where the matrix of coefficients is not necessarily square. If the matrix, denoted E, is singular (i.e., it has no inverse), then there may be no unique solution to the system.
In this case, additional constraints or assumptions may need to be imposed on the problem in order to obtain a unique solution. This can include adding regularization terms to the objective function or using techniques such as singular value decomposition (SVD) to obtain a pseudo-inverse of the matrix.
相关问题
error: singular matrix in lupdcmp
这是一个数学问题,我可以帮助您解答。这个错误通常是由于矩阵奇异(非可逆)引起的。可能需要对矩阵进行修正或重新构造。您需要检查输入矩阵是否正确,并检查您的算法实现是否存在缺陷。如果您需要更多的帮助,请提供更多的信息。
singular matrix
A singular matrix is a square matrix that does not have an inverse. In other words, if a matrix is singular, then it cannot be inverted. This means that there is no matrix B such that AB = BA = I, where A is the singular matrix and I is the identity matrix. Singular matrices are also known as degenerate matrices. In practical terms, a singular matrix represents a system of linear equations that does not have a unique solution or a matrix transformation that collapses the space of the original matrix.
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