- Which condition must be satisfied in case of least square method?
- What is minimized in a least squares algorithm?
- Is the least squares solution unique?
Which condition must be satisfied in case of least square method?
The method of least squares assumes that the best fit curve of a given type is the curve that has the minimal sum of deviations, i.e., least square error from a given set of data.
What is minimized in a least squares algorithm?
The least squares method is a statistical procedure to find the best fit for a set of data points by minimizing the sum of the offsets or residuals of points from the plotted curve.
Is the least squares solution unique?
The least squares problem always has a solution. The solution is unique if and only if A has linearly independent columns.