User Settings

MATAVIMO REZULTATŲ APDOROJIMAS TAIKANT KOLOKACIJOS METODĄ

Jonas Skeivalas-2012-09-11
0

TL;DRAbstract

Summary The article is about the treatment of measurements using the least squares involving the collocation parameters. The vector of correlation signals is added to the vector of collocation parameters which functionally is not tied with the vector of basic parameters. Therefore, the influence of the vector for correlation signals upon the accuracy of mathematical treatment of measured quantities is considered when determines all basic parameters. For analysis, the method of gridded matrix was used in order to calculate reciprocal matrix of normal equation coefficients, where this matrix determines the weight matrix of basic and collocation parameters. The collocation method increases the accuracy of basic and collocation parameters. Simultaneous treatment of measurements increases the accuracy of correlation too.

Chat with Paper

AI Agents for this Paper

Summary The article is about the treatment of measurements using the least squares involving the collocation parameters. The vector of correlation signals is added to the vector of collocation parameters which functionally is not tied with the vector of basic parameters. Therefore, the influence of the vector for correlation signals upon the accuracy of mathematical treatment of measured quantities is considered when determines all basic parameters. For analysis, the method of gridded matrix was used in order to calculate reciprocal matrix of normal equation coefficients, where this matrix determines the weight matrix of basic and collocation parameters. The collocation method increases the accuracy of basic and collocation parameters. Simultaneous treatment of measurements increases the accuracy of correlation too.

Keywords

Collocation (remote sensing)MathematicsMatrix (chemical analysis)Orthogonal collocationApplied mathematicsLeast-squares function approximationReciprocalMathematical analysis

Chat

Click to start Chat