Introduction to Sparse Matrices In Scilab - Projects

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Read sparse doubles matrices in gatewaysgetSparseMatrixR. a sp. mat.getComplexSparseMatrixR. a complex sp. mat.readNamedSparseMatrixR. a named sp. mat.readNamedComplexSparseMatrix R. a named complex sp. mat.Write sparse doubles matrices in gatewayscreateSparseMatrixW. a sp. mat.createComplexSparseMatrix W. a complex sp. mat.createNamedSparseMatrix W. a named sp. mat.createNamedComplexSparseMatrix W. a named complex sp. mat.Read/Write sparse boolean matrices in gatewaysgetBooleanSparseMatrixR. a boolean sp. mat.readNamedBooleanSparseMatrix R. a named boolean sp. mat.createBooleanSparseMatrix W. a boolean sp. mat.createNamedBooleanSparseMatrix W. a named boolean sp. mat.Figure 8 – The sparse API, to be used in gateways.The following read_sparse function is a sample example of some of thefunctions which may be used in gateways which manage sparse matrices. Thisexample is extracted from the help pages of Scilab.The read_sparse function takes a sparse matrix of doubles as input argumentand prints its content in the console. The sparse matrix may be realor complex, which is taked into account in the gateway, based on the outputof the isVarComplex function. If the matrix is complex, we call the getComplexSparseMatrix,which sets the data structures of the sparse matrix. Thedata structures associated with sparse matrices are presented in the section2.2 :– iRows : the number of rows,– iCols : the number of columns,– iNbItem : the number of nonzero entries,– piNbItemRow : the number of nonzeros on each row,– piColPos : the column index of each nonzero entry,– pdblReal : the real part of the nonzero entry,– pdblImg : the imaginary part of the nonzero entry.The getSparseMatrix function has the same effect on real matrices, but onlythe pdblReal array is set.20
Read sparse matrices in a listgetSparseMatrixInListR. a sp. mat. of doubles in a list.getComplexSparseMatrixInListR. a sp. mat. of complex doubles in a list.readSparseMatrixInNamedListR. a named sp. mat. of doubles in a list.readComplexSparseMatrixInNamedListR. a named sp. mat. of complex doubles in a list.Write sparse matrices in listscreateSparseMatrixInListW. a sp. mat. of doubles in a list.createComplexSparseMatrixInListW. a sp. mat. of complex doubles in a list.createSparseMatrixInNamedListW. a sp. mat. of doubles in a named list.createComplexSparseMatrixInNamedListW. a sp. mat. of complex doubles in a named list.Read/Write sparse boolean matrices in listsgetBooleanSparseMatrixInListR. a sp. mat. of booleans in a list.readBooleanSparseMatrixInNamedListR. a sp. mat. of booleans in a named list.createBooleanSparseMatrixInListW. a sp. mat. of booleans in a list.createBooleanSparseMatrixInNamedListW. a sp. mat. of booleans in a named list.Figure 9 – The sparse API to read/write in lists.21
Page 2: 4 Cholesky factorizations 155 Funct
Page 6 and 7: sp2adjspeyesponessprandspzerosfulls
Page 8 and 9: -->D= sparse (C)D =( 3, 5) sparse m
Page 10 and 11: lufactlusolvelugetludelchfactchsolv
Page 12 and 13: -->x= lusolve (h,b)x =1.0.50.333333
Page 14 and 15: 0 0 0 0 28 20 71 39 0 00 10 0 0 32
Page 16 and 17: PlotSparseReadHBSparsecond2spcondes
Page 18 and 19: umf licenseumf ludelumf lufactumf l
Page 22 and 23: int read_sparse ( char * fname , un
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Page 26 and 27: Information about MatrixMarket file
Page 28 and 29: Sparse matrices can be managed in S
Page 30 and 31: The solver argument is designed so
Page 32 and 33: function u = mysolverTAUCS (N,b)A =
Page 34 and 35: -->A = scibench_poissonA ( 500 );--

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