Other methods that can be used are the Column Updating Method, the Inverse Column Updating Method, the Quasi-Newton Least Squares Method and the Quasi-Newton Inverse Least Squares Method.
22.
Other methods that can be used are the Column Updating Method, the Inverse Column Updating Method, the Quasi-Newton Least Squares Method and the Quasi-Newton Inverse Least Squares Method.
23.
When both steric and polar effects influence the reaction rate the Taft equation can be solved for both ? * and ? through the use of standard least squares methods for determining a bivariant regression plane.
24.
Two common applications of polynomial least squares methods are approximating a low-degree polynomial that approximates a complicated function and estimating an assumed underlying polynomial from corrupted ( also known as " noisy " ) observations.
25.
Many common statistics, including t-tests, regression models, design of experiments, and much else, use least squares methods applied using linear regression theory, which is based on the quadratric loss function.
26.
:: I think I understand linear least squares method but in my understanding one requies a set of x and y data points from which the matrix and its inverse are derived as well as the vector.
27.
This is applied, e . g ., in the Kalman filter and recursive least squares methods, to replace the parametric solution, requiring inversion of a state vector sized matrix, with a condition equations based solution.
28.
Classical objective functions include the sum of squared deviations between experimental and numerical data, as in the least squares methods, the sum of the magnitude of the difference between field and numerical data, or some variant of these definitions.
29.
:: If you want to go one step further and draw a straight line that isn't parallel to the axis, you could use a sum of least squares method or some other method to fit a straight line to the date.
30.
Another approach for solving fluid dynamic equations in a grid free framework is the moving least squares or least squares method ( Belytschko et al . 1996, Dilts 1996, Kuhnert 99, Kuhnert 2000, Tiwari et al . 2001 and 2000 ).
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