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Assuming that K rgb° is the calibration matrix of the RGB camera, an optimization procedure is formulated to estimate the variables q v,i ° and (mathbf {q}_{v,i}^{circ} left (mathbf {q}_{v,i}^{circ}=z_{i}mathbf {q}_{v,i}=left [begin {array}{cc} u_{i}^{circ} & v_{i}^{circ}end {array}right ]^{T}right))of vertex i.
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Based on this study, a computer model is formulated to estimate PAR distribution and photosynthetic rates of cotton canopies.
The data fitting problem is formulated to estimate some unknown model parameters simultaneously for 18 data sets under consideration.
System identification procedures based on the direct non-linear optimization and a sub-optimal method are formulated to estimate the material parameters.
Analytical models are formulated to estimate the vehicle-processing capacities achievable via these layouts.
Theory was formulated to estimate the partial reflectance necessary to provide equal light extraction at each level.
In addition, a nitrogen-free diet was formulated to estimate the basal ileal endogenous losses of the amino acids.
A procedure was formulated to test whether and how a given group shows a plastic response to environmental changes.
Firstly, a sparse optimization problem is formulated to jointly estimate the useful components from the noisy observation.
A robust design procedure is formulated in order to select suitable pole locations.
The procedure is formulated in detail with special reference to churches, and illustrated on two example cases.
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