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Exact(1)
Group sparsity algorithms were used to solve (10) for multiple snapshots and showed that the complexity grows with the number of measurement vectors as well as handling of the sensing matrix becomes difficult due to a Kronecker product involved in the construction of the group sensing matrix [30].
Similar(59)
When increases, the size of the matrices, and increases, the matrix inversion becomes difficult and more errors will be introduced.
When the precipitates are embedded in a martensitic matrix, the accommodation of the precipitates becomes difficult due to the intrinsic deformation associated with the transformation.
It becomes difficult.
Gambling becomes difficult.
It becomes difficult to maintain faith.
Comparison shopping becomes difficult.
Thus, prediction becomes difficult.
It becomes difficult to study old geomagnetic events.
The keyword search becomes difficult when data are encrypted.
However, it becomes difficult to see the patterns described above.
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