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To solve the l1-regularized LRP, l1_logreg uses Preconditioned Conjugate Gradient (PCG) method if the feature matrix is stored in sparse format, and the direct method if the feature matrix is stored in dense format.
Thus, the upper triangular portion of the coefficient matrix is stored in a compressed sparse row format, while the lower triangular portion of the same matrix is stored in a compressed sparse column format.
The sensing matrix is stored and applied efficiently.
This part is done during the off-line stage and the matrix is stored.
In this work, the global stiffness matrix is stored using the coordinate list (COO) sparse storage format during matrix assembly.
Then this matrix is stored and can be used for series of computations because changes of initial gap or applied loads do not affect K C.
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In the COO format, only the nonzero elements of a sparse matrix are stored in the array ({values}).
The forth element of the 4-D matrix is utilized to save the matrix in correspondence with the time factor; for each increment in the time interval the pressure values for each matrix are stored in that position in a 3-D form.
The resulting matrix was stored in a comma-separated file called 'IPCC_HTuse_10_10_1_53x27.csv'.
The matrix was stored at 4°C in 20% ethanol until used.
Fly samples and standard samples made in the water and perchloric acid sample matrix were stored on ice in the dark until use to minimize reduce sample degradation.
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