Exact(1)
MRL models belong to the class of non-convex nonlinear models wherein a number of difficulties may arise when estimating parameters of a realistic dynamical system, like e.g. convergence to local solutions, flat objective function in the neighbourhood of the solution and unreasonable computational effort for a problem with a large number of parameters.
Similar(59)
A more accurate resolution increases the effort and leads to unreasonable computational costs, compare Chapter 1.
In addition, the computational effort for the computation of the solution vector is rather high.
After an enormous amount of computational effort, this produces a realistic, textured character.
Detailed micro-modelling requires much computational effort.
This approach, however, requires high computational effort.
The main drawback is the computational effort.
This significantly reduces the computational effort.
The computational effort involved is negligible.
For extremely large sensing matrices, e.g, 4014×4096 and 6021×6144, the LP and SDP methods cannot provide any lower bound on k due to unreasonable computational time.
This joint optimisation problem would further increase the computational effort.
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