A new algorithm for reducing the bandwidth and profile of a sparse matrix is described. Extensive testing on finite element matrices indicates that the algorithm typically produces bandwidth and profile which are comparable to those of the commonly-used reverse Cuthill-McKee algorithm, yet requires sig...
Classification algorithms represent a powerful tool for identification of single traits or a combination of features that characterize and separate two or more classes of objects or subjects. From: International Review of Neurobiology, 2018 About this pageAdd to MendeleySet alert ...
Specifically, we add the two output tensors to obtain the probability map and then apply a normal argmax operation on top of it. As for the case in which only algorithm-annotated images are available, only output #1 is used for generating results in both training and test. Experiments ...
An algorithm was proposed, using sparse matrix as the storage structure of the data. To prevent the critical path from being lost, the queue method was adopted for the operation. Compared with the classical algorithm, this algorithm is simple, with close asymptotic time complexity (O (n e~2...
,xn], the goal of the KSVD and MOD algorithms is to find a dictionary B and a sparse matrix Γ that minimize the following representation error (B^,Γ^)=argminB,Γ‖X-BΓ‖F2subject to‖γi‖0⩽T0∀i, where γi represent the columns of Γ and T0 denotes the sparsity level. ...
2387.Median-of-a-Row-Wise-Sorted-Matrix (H-) 3116.Kth-Smallest-Amount-With-Single-Denomination-Combination (H) 3134.Find-the-Median-of-the-Uniqueness-Array (H-) Hash Map 049.Group-Anagrams (M+) 149.Max-Points-on-a-Line (H) 166.Fraction-to-Recurring-Decimal (M) 170.Two-Sum-III-Dat...
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Sparse matrix-vector multiplication(SpMV) executes Ax=y, where A is a sparse matrix, x and y are dense vectors. TileSpMV implemented seven warp-level SpMV methods to calculate sparse tiles stored in different formats, and a format selection method is designed to select the best format and al...
For large scale of sparse linear equations, due to the efficiency requirement and computer memory limitation, iterative algorithms are often used. There are two major types of iterative algorithms for solving linear equations: stationary methods and non-stationary methods. Both can be interpreted in ...
Their positions are updated using two mechanisms: encircling prey and spiral movement. The former method is similar to that in GWO, while in the latter approach, a spiral equation is used to update the position. There is a 50% chance of choosing one of these methods for each of the ...