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The detailed proof process is described in Equation 9 (9).
Cost is defined by the function described in equation (2).
The optimization problem described in Equation 15 is nonconvex and is solved using nonlinear optimization technique.
RVacca tk) is the accumulated visual reliability until a frame k, as described in Equation (12).
The second step of forecasting the quantity of water demanded was described in Equation 2.
Construct matrix L, using K, P and P T as described in Equation 7. iii.
The error is added into the compressed measurement signal as described in Equation (3).
The fitted quadratic response model is as described in Equation 1.
The probit model described in Equation (1) is then estimated by maximum likelihood.
determine the eigenvectors (Vp) of each criterion for each item is described in equation 1.
The simple conversion is described in Equation 20 of Appendix 1.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com