SparseEchelonMatrix(C, D)ΒΆ

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SparseEchelonMatrix(C, D) implements sparse matrices whose columns are enumerated by the OrderedSet C and whose entries belong to the GcdDomain D. The basic operation of this domain is the computation of an row echelon form. The used algorithm tries to maintain the sparsity and is especially adapted to matrices who are already close to a row echelon form.

*: (Matrix D, %) -> %

L*A implements left multiplication with a usual matrix.

*: (Matrix Fraction D, %) -> % if D has IntegralDomain

L*A implements left multiplication with a usual matrix over the quotient field of D.

allIndices: % -> List C

allIndices(A) returns all indices used for enumerating the columns of the matrix A.

appendRow!: (%, Record(Indices: List C, Entries: List D)) -> Void

appendRow!(A, r) appends the row r at the end of the matrix A.

coerce: % -> Matrix D

coerce(A) yields the matrix A in the usual matrix type.

coerce: % -> OutputForm

from CoercibleTo OutputForm

consRow!: (%, Record(Indices: List C, Entries: List D)) -> Void

consRow!(A, r) inserts the row r at the top of the matrix A.

copy: % -> %

copy(A) returns a copy of the matrix A.

deleteRow!: (%, Integer) -> Void

deleteRow(A, i) deletes the i-th row of the matrix A.

elimZeroCols!: % -> Void

elimZeroCols!(A) removes columns which contain only zeros. This effects basically only the value of allIndices(A).

elt: (%, Integer, C) -> D

elt(A, i, c) returns the entry of the matrix A in row i and in the column with index c.

extract: (%, Integer, Integer) -> %

extract(A, i1, i2) extracts the rows i1 to i2 and returns them as a new matrix.

horizJoin: (%, %) -> %

horizJoin(A, B) horizontally concats the matrices A and B. It is assumed that all indices of B are smaller than those of A.

horizSplit: (%, C) -> Record(Left: %, Right: %)

horizSplit(A, c) splits the matrix A into two at the column given by c. The first column of the right matrix is enumerated by the first index less or equal to c.

join: (%, %) -> %

join(A, B) vertically concats the matrices A and B.

ncols: % -> NonNegativeInteger

ncols(A) returns the number of columns of the matrix A.

new: (List C, Integer) -> %

new(inds, nrows) generates a new matrix with nrows rows and columns enumerated by the indices inds. The matrix is empty, i.e. the zero matrix.

nrows: % -> NonNegativeInteger

nrows(A) returns the number of rows of the matrix A.

pivot: (%, Integer) -> Record(Index: C, Entry: D)

pivot(A, i) returns the leading entry of the i-th row of the matrix A together with its index.

pivots: % -> Record(Indices: List C, Entries: List D)

pivots(A) returns all leading entries of the matrix A together with their indices.

primitiveRowEchelon: % -> Record(Ech: %, Lt: Matrix Fraction D, Pivots: List D, Rank: NonNegativeInteger) if D has GcdDomain

primitiveRowEchelon(A) computes a row echelon form for the matrix A. The algorithm used is fraction-free elimination. Every row is made primitive by division by the gcd. The algorithm is especially adapted to matrices already close to row echelon form. The transformation matrix, the used pivots and the rank of the matrix are also returned.

purge!: (%, C -> Boolean) -> Void

purge!(A, crit) eliminates all columns belonging to an index c such that crit(c) yields true.

row: (%, Integer) -> Record(Indices: List C, Entries: List D)

row(A, i) returns the i-th row of the matrix A.

rowEchelon: % -> Record(Ech: %, Lt: Matrix D, Pivots: List D, Rank: NonNegativeInteger)

primitiveRowEchelon(A) computes a row echelon form for the matrix A. The algorithm used is fraction-free elimination. It is especially adapted to matrices already close to row echelon form. The transformation matrix, the used pivots and the rank of the matrix are also returned.

setelt!: (%, Integer, C, D) -> Void

setelt!(A, i, c, d) sets the entry of the matrix A in row i and in the column with index c to the value d.

setGcdMode: Symbol -> Symbol if D has GcdDomain

setGcdMode(s) sets a new value for the flag deciding on the method used to compute gcd`s for lists. Possible values for s are iterated and random.

setRow!: (%, Integer, List C, List D) -> Void

setRow!(A, i, ind, ent) sets the i-th row of the matrix A. Its indices are ind; the entries ent.

setRow!: (%, Integer, Record(Indices: List C, Entries: List D)) -> Void

setRow!(A, i, ind, ent) sets the i-th row of the matrix A to the value r.

sortedPurge!: (%, C -> Boolean) -> Void

sortedPurge!(A, crit) is like purge, however, with the additional assumption that crit respects the ordering of the indices.

CoercibleTo OutputForm

finiteAggregate

shallowlyMutable