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what is the disadvantage of sparse matrix?
A sparse matrix is matrix that allows special techniques to take advantage of large number of zero element. Application of sparse matrix is classification and relationship analysis in large data base system - SPARCOM
A sparse matrix is a matrix in which most of the elements are zero.
Another sparse matrix.
Sparse advantage, less storage space required Dense advantage faster since each index key is directly linked to a record key
A sparse matrix is one which normally contains a large proportion of elements whose value is 0. There is no exact proportion at which a matrix becomes sparse.
write a programe to build a sparse matrix as an array. write function to check if the sparse matrix is a square, diagonal,lower triangular, upper triangular or tridiagonal matrix
A matrix that have one or more elements with value zero.
A sparse matrix is an array with more zero values than non-zero values.
MGO 634 HW_2 due on 09/17/2009 - que 2 page # 221....
Sparse matirx can be represented 1-dimensionally, by creating a array of structures, that have members sumc as: Struct RM{int ROW,int COL, int non_zero}; struct RM SM[Number_non_Zeros +1]; then input row,col for each non-zero element of the sparse matrix. if still unclear please fell free to requestion or query on ikit.bbsr@gmail.com, specifying clearly the question in the subject. Chinmaya N. Padhy (IKIT)
What are the advantage and disadvantage of fidelio?"