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- W2357945574 abstract "Sequence operations often involve calculations between sparse vectors.Optimization of such calculations is a key problem in sequence operation theory to improve the computational efficiency.The causes of sequence sparsity and the impact of different basic operations in sequence operation theory on the sequence sparsity were analyzed to develop sparsity estimation formulas for the resulting sequences.These sparse vector operations can be naturally applied in sequence operations.A common storage method and a feature storage method were developed based on the characteristics of sequences and sequence operations.Tests of the sparse storage and computation methods show that for basic operations,the sparse methods reduce the times for addition-type convolution,AND-type products,OR-type products and sequence division operations by 6% to 38% compared to the original methods." @default.
- W2357945574 created "2016-06-24" @default.
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- W2357945574 date "2011-01-01" @default.
- W2357945574 modified "2023-09-28" @default.
- W2357945574 title "Sparse technology based computing of sequence operation theory" @default.
- W2357945574 hasPublicationYear "2011" @default.
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