It is frequently necessary to manipulate large sparse matrices by means of a computer. In such cases a lot of CPU time and memory space can be saved if only the non-zero elements are stored. This paper surveys seven different “compact” representations of sparse matrices. The selected implementations will be compared with regard to the running time and the storage requirement.
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