least square method sentence in Hindi
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- The least squares method is one way to compare the deviations.
- Coefficients of these models are estimated by the least squares method.
- Clearly, the least squares method leads to many interesting observations being masked.
- The whole system may then be solved with the linear least squares method.
- In this case, the calculation is adjusted with the Gaussian least squares method.
- One example of a maximum likelihood method commonly used in engineering is the least squares method.
- Since you are using least squares method, I assume you don't need an exact fit.
- LOESS is also prone to the effects of outliers in the data set, like other least squares methods.
- In computer graphics, the moving least squares method is useful for reconstructing a surface from a set of points.
- Once the surveyor has calculated the level of the errors in his work, it is Principle of least squares method.
- Orthogonalization methods ( such as QR factorization ) are common, for example, when solving problems by least squares methods.
- The method of least absolute deviations finds applications in many areas, due to its robustness compared to the least squares method.
- At the next step, the initial segmentation is refined by fitting quadratics whose coefficients are calculated based on the Least squares method.
- It is common to make the additional hypothesis that the ordinary least squares method should be used to minimize the " residuals ".
- Least squares applied to linear regression is called ordinary least squares method and least squares applied to nonlinear regression is called non-linear least squares.
- The idea behind the Quasi-Newton Least Squares Method is to build up an approximate Jacobian based on known input-output pairs of the function.
- In ( Tiwari et al . 2001 ), this method has been applied to a grid free framework with the help of the weighted least squares method.
- The idea behind the Quasi-Newton Inverse Least Squares Method is to build up an approximate Jacobian based on known input-output pairs of the function.
- Using more than four involves an over-determined system of equations with no unique solution; such a system can be solved by a least-squares or weighted least squares method.
- The method of iteratively re-weighted least squares ( IRLS ) is a numerical algorithm for minimizing any specified objective function using a standard weighted least squares method such as Gaussian elimination.
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