Packages

object SparseMatrixD extends Serializable

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

Linear Supertypes
Serializable, Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. SparseMatrixD
  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, Double]

    Shorthand type definition for rows in sparse matrix

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def apply(fileName: String): SparseMatrixD

    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

  5. def apply(u: Vector[VectoD]): SparseMatrixD

    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

  6. def apply(u: Array[VectoD], columnwise: Boolean = true): SparseMatrixD

    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

  7. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  8. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  10. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  11. def eye(m: Int, n: Int = 0): SparseMatrixD

    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)

  12. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  14. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  15. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  16. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  17. final def notify(): Unit
    Definition Classes
    AnyRef
  18. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  19. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  20. def toString(): String
    Definition Classes
    AnyRef → Any
  21. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  22. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  23. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped