Packages

object SparseMatrixQ extends Serializable

The SparseMatrixQ object is the companion object for the SparseMatrixQ class.

Linear Supertypes
Serializable, Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. SparseMatrixQ
  2. Serializable
  3. Serializable
  4. AnyRef
  5. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Type Members

  1. type RowMap = SortedLinkedHashMap[Int, Rational]

    Shorthand type definition for rows in sparse matrix

Value Members

  1. def apply(fileName: String): SparseMatrixQ

    Create a matrix by reading from a text file, e.g., a CSV file.

    Create a matrix by reading from a text file, e.g., a CSV file.

    fileName

    the name of file holding the data

  2. def apply(u: Vector[VectoQ]): SparseMatrixQ

    Create a matrix and assign values from the Scala Vector of vectors 'u'.

    Create a matrix and assign values from the Scala Vector of vectors 'u'. Assumes vectors are column-wise.

    u

    the Vector of vectors to assign

  3. def apply(u: Array[VectoQ], columnwise: Boolean = true): SparseMatrixQ

    Create a matrix and assign values from the array of vectors 'u'.

    Create a matrix and assign values from the array of vectors 'u'.

    u

    the array of vectors to assign

    columnwise

    whether the vectors are treated as column or row vectors

  4. def eye(m: Int, n: Int = 0): SparseMatrixQ

    Create an 'm-by-n' sparse identity matrix I (ones on main diagonal, zeros elsewhere).

    Create an 'm-by-n' sparse identity matrix I (ones on main diagonal, zeros elsewhere). If 'n' is <= 0, set it to 'm' for a square identity matrix.

    m

    the row dimension of the matrix

    n

    the column dimension of the matrix (defaults to 0 => square matrix)