Value Members

1.  final def !=(arg0: Any): Boolean

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2.  final def ##(): Int

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3.  final def ==(arg0: Any): Boolean

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4.  final def asInstanceOf[T0]: T0

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5.  def clone(): AnyRef

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6.  def dense(numRows: Int, numCols: Int, values: Array[Double]): Matrix

   Creates a column-major dense matrix.

   Creates a column-major dense matrix.

   numRows

   number of rows

   numCols

   number of columns

   values

   matrix entries in column major

   Annotations

   @Since( "2.0.0" )

7.  def diag(vector: Vector): Matrix

   Generate a diagonal matrix in Matrix format from the supplied values.

   Generate a diagonal matrix in Matrix format from the supplied values.

   vector

   a Vector that will form the values on the diagonal of the matrix

   returns

   Square Matrix with size values.length x values.length and values on the diagonal

   Annotations

   @Since( "2.0.0" )

8.  final def eq(arg0: AnyRef): Boolean

   Definition Classes

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9.  def equals(arg0: Any): Boolean

   Definition Classes

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10.  def eye(n: Int): Matrix

    Generate a dense Identity Matrix in Matrix format.

    Generate a dense Identity Matrix in Matrix format.

    n

    number of rows and columns of the matrix

    returns

    Matrix with size n x n and values of ones on the diagonal

    Annotations

    @Since( "2.0.0" )

11.  def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )

12.  final def getClass(): Class[_]

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    @native()

13.  def hashCode(): Int

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14.  def horzcat(matrices: Array[Matrix]): Matrix

    Horizontally concatenate a sequence of matrices.

    Horizontally concatenate a sequence of matrices. The returned matrix will be in the format the matrices are supplied in. Supplying a mix of dense and sparse matrices will result in a sparse matrix. If the Array is empty, an empty DenseMatrix will be returned.

    matrices

    array of matrices

    returns

    a single Matrix composed of the matrices that were horizontally concatenated

    Annotations

    @Since( "2.0.0" )

15.  final def isInstanceOf[T0]: Boolean

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16.  final def ne(arg0: AnyRef): Boolean

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17.  final def notify(): Unit

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    @native()

18.  final def notifyAll(): Unit

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    @native()

19.  def ones(numRows: Int, numCols: Int): Matrix

    Generate a DenseMatrix consisting of ones.

    Generate a DenseMatrix consisting of ones.

    numRows

    number of rows of the matrix

    numCols

    number of columns of the matrix

    returns

    Matrix with size numRows x numCols and values of ones

    Annotations

    @Since( "2.0.0" )

20.  def rand(numRows: Int, numCols: Int, rng: Random): Matrix

    Generate a DenseMatrix consisting of i.i.d. uniform random numbers.

    Generate a DenseMatrix consisting of i.i.d. uniform random numbers.

    numRows

    number of rows of the matrix

    numCols

    number of columns of the matrix

    rng

    a random number generator

    returns

    Matrix with size numRows x numCols and values in U(0, 1)

    Annotations

    @Since( "2.0.0" )

21.  def randn(numRows: Int, numCols: Int, rng: Random): Matrix

    Generate a DenseMatrix consisting of i.i.d. gaussian random numbers.

    Generate a DenseMatrix consisting of i.i.d. gaussian random numbers.

    numRows

    number of rows of the matrix

    numCols

    number of columns of the matrix

    rng

    a random number generator

    returns

    Matrix with size numRows x numCols and values in N(0, 1)

    Annotations

    @Since( "2.0.0" )

22.  def sparse(numRows: Int, numCols: Int, colPtrs: Array[Int], rowIndices: Array[Int], values: Array[Double]): Matrix

    Creates a column-major sparse matrix in Compressed Sparse Column (CSC) format.

    Creates a column-major sparse matrix in Compressed Sparse Column (CSC) format.

    numRows

    number of rows

    numCols

    number of columns

    colPtrs

    the index corresponding to the start of a new column

    rowIndices

    the row index of the entry

    values

    non-zero matrix entries in column major

    Annotations

    @Since( "2.0.0" )

23.  def speye(n: Int): Matrix

    Generate a sparse Identity Matrix in Matrix format.

    Generate a sparse Identity Matrix in Matrix format.

    n

    number of rows and columns of the matrix

    returns

    Matrix with size n x n and values of ones on the diagonal

    Annotations

    @Since( "2.0.0" )

24.  def sprand(numRows: Int, numCols: Int, density: Double, rng: Random): Matrix

    Generate a SparseMatrix consisting of i.i.d. uniform random numbers.

    Generate a SparseMatrix consisting of i.i.d. uniform random numbers.

    numRows

    number of rows of the matrix

    numCols

    number of columns of the matrix

    density

    the desired density for the matrix

    rng

    a random number generator

    returns

    Matrix with size numRows x numCols and values in U(0, 1)

    Annotations

    @Since( "2.0.0" )

25.  def sprandn(numRows: Int, numCols: Int, density: Double, rng: Random): Matrix

    Generate a SparseMatrix consisting of i.i.d. gaussian random numbers.

    Generate a SparseMatrix consisting of i.i.d. gaussian random numbers.

    numRows

    number of rows of the matrix

    numCols

    number of columns of the matrix

    density

    the desired density for the matrix

    rng

    a random number generator

    returns

    Matrix with size numRows x numCols and values in N(0, 1)

    Annotations

    @Since( "2.0.0" )

26.  final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes

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27.  def toString(): String

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28.  def vertcat(matrices: Array[Matrix]): Matrix

    Vertically concatenate a sequence of matrices.

    Vertically concatenate a sequence of matrices. The returned matrix will be in the format the matrices are supplied in. Supplying a mix of dense and sparse matrices will result in a sparse matrix. If the Array is empty, an empty DenseMatrix will be returned.

    matrices

    array of matrices

    returns

    a single Matrix composed of the matrices that were vertically concatenated

    Annotations

    @Since( "2.0.0" )

29.  final def wait(): Unit

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    @throws( ... )

30.  final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes

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    @throws( ... )

31.  final def wait(arg0: Long): Unit

    Definition Classes

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    @throws( ... ) @native()

32.  def zeros(numRows: Int, numCols: Int): Matrix

    Generate a Matrix consisting of zeros.

    Generate a Matrix consisting of zeros.

    numRows

    number of rows of the matrix

    numCols

    number of columns of the matrix

    returns

    Matrix with size numRows x numCols and values of zeros

    Annotations

    @Since( "2.0.0" )