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Comprehensive Study on the Estimation of the Variance Components of Traverse Nets
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作者 WANG Zhongfeng 《Geo-Spatial Information Science》 2003年第1期43-48,共6页
This paper advances a new simplified formula for estimating variance components ,sums up the basic law to calculate the weights of observed values and a circulation method using the increaments of weights when estimat... This paper advances a new simplified formula for estimating variance components ,sums up the basic law to calculate the weights of observed values and a circulation method using the increaments of weights when estimating the variance components of traverse nets,advances the charicteristic roots method to estimate the variance components of traveres nets and presents a practical method to make two real and symmetric matrices two diagonal ones. 展开更多
关键词 traverse nets variance component redundant observation component law to calculate weights characteristic roots method
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SOLUTION TO FRACTIONAL ORDER HYBRID NON-HOMOGENEOUS ORDINARY DIFFERENTIAL EQUATION
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作者 Dayi Zheng 《Annals of Differential Equations》 2014年第4期494-501,共8页
In this paper, we study a fractional order hybrid non-homogeneous ordinary diffe- rential equation. We gain r^ae^rt for the a order derivatives of both Riemann-Liouville type and Caputo type of function f(t) = e^rt ... In this paper, we study a fractional order hybrid non-homogeneous ordinary diffe- rential equation. We gain r^ae^rt for the a order derivatives of both Riemann-Liouville type and Caputo type of function f(t) = e^rt by letting integral lower limit of fractional derivative be -∞. It is first time for us to use the traditional eigenvalue method to solve fractional order ordinary differential equation. However, the law of the number of mutually independent arbitrary constants in general solutions to fractional order hy- brid non-homogeneous ordinary differential equation and general ordinary differential equation are very different. 展开更多
关键词 fractional derivative Riemann-Liouville type Caputo type method of characteristic root
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