… matrix of size m × m. The constraints force S to be an ideal sampling matrix, ie, S only contains
m columns of a permutation matrix of … able to maintain the high performance for a specific …

… analyses show that the S-box generated by our proposed method has a high performance
… In the permutation process, the row permutation matrix and column permutation matrix are …

… performance of the heuristic algorithms on these small-scale problems. For larger problems,
we obtain the time-limited model results as a heuristic, and the performance … complex matrix …

… To get the binary permutation matrix, we apply the Hungarian … variational distributions over
permutation matrices. However, … We establish the validity of performing Bayesian inference in …

… In this section, we critically analyse the performance of the proposed method ie RP-LPP …
generated templates by changing the random permutation matrix P. The analysis is similar to [15]…

… , will have already been permuted, and will both … the permutation matrices P Y and P X are
both identity matrices (of sizes N ’ and N ’’ , respectively), which is equivalent to no permutation…

… are row-permuted by the same permutation matrix, and since the permutation matrices are …
We visualize the part segmentation results in Figure 4 to demonstrate the high performance of …

… in performance and efficiency: directly learning long convolutions over the sequence. We find
that a key requirement to achieving high performance … P denotes a permutation matrix that …

… to dense weight matrices, the model is able to reach the same performance of another model
… b ,n)), multiplied on the left and right with appropriate permutation matrices. We denote the …

… mesoporous carbonaceous matrix Co/NrGO and its appropriate permutation in a cell
configuration play an equally important role in the development of high-performance Li–S batteries. …