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

symmetric

The matrix is symmetric for some parameter values.

inverse

The inverse of the matrix is known explicitly.

ill-cond

The matrix is ill-conditioned for some parameter values.

pos-def

The matrix is positive definite for some parameter values.

eigen

The eigensystem of the matrix has some known results.

sparse

The matrix is sparse.

random

The matrix has random entries.

data

The matrix is downloaded from UF sparse matrix collection or NIST Matrix Market.

regprob

The output is a test problem for Regularization Methods.

all

All the matrices in the collection.

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"