Groups

Groups are lists of matrix names and we use them to categorize matrices in Matrix Depot. The list below shows all the predefined groups in Matrix Depot and we can extend this list by defining new groups.

Predefined Groups

all
All the matrices in the collection.
data
The matrix has been downloaded from UF sparse matrix collection or the Matrix Market collection.
eigen
Part of the eigensystem of the matrix is explicitly known.
ill-cond
The matrix is ill-conditioned for some parameter values.
inverse
The inverse of the matrix is known explicitly.
pos-def
The matrix is positive definite for some parameter values.
random
The matrix has random entries.
regprob
The output is a test problem for Regularization Methods.
sparse
The matrix is sparse.
symmetric
The matrix is symmetric for some parameter values.

Adding New Groups

New groups can be added with the macro @addgroup:

@addgroup myfav = ["lehmer", "cauchy", "hilb"]
87

@addgroup test_for_paper2 = ["tridiag", "sampling", "wing"]
138

workspace()

using MatrixDepot # reload the package
matrixdepot()

Matrices:
  1) baart            2) binomial         3) cauchy           4) chebspec
  5) chow             6) circul           7)  clement          8) deriv2
  9) dingdong        10) fiedler         11) forsythe        12) foxgood
 13) frank           14) grcar           15) hadamard        16) heat
 17) hilb            18) invhilb         19) invol           20) kahan
 21) kms             22) lehmer          23) lotkin          24) magic
 25) minij           26) moler           27) neumann         28) oscillate
 29) parter          30) pascal          31) pei             32) phillips
 33) poisson         34) prolate         35) randcorr        36) rando
 37) randsvd         38) rohess          39) rosser          40) sampling
 41) shaw            42) toeplitz        43) tridiag         44) triw
 45) vand            46) wathen          47) wilkinson       48) wing

Groups:
 data          eigen         ill-cond      inverse
 pos-def       random        regprob       sparse
 symmetric     myfav         test_for_paper2


matrixdepot("myfav")
3-element Array{ASCIIString,1}:
 "lehmer"
 "cauchy"
 "hilb"