Value Members

1.  def diag(v: Vec[Double]): Mat[Double]

   Given a vector, create a matrix whose diagonal entries equal the vector, with zeros off-diagonal.

   Given a vector, create a matrix whose diagonal entries equal the vector, with zeros off-diagonal.

   v

   The vector of source data

2.  def ident(n: Int): Mat[Double]

   Create a square identity matrix of dimension n x n

   Create a square identity matrix of dimension n x n

   n

   The number of rows/columns of the square matrix

3.  def ones(rows: Int, cols: Int): Mat[Double]
4.  def rand(rows: Int, cols: Int): Mat[Double]

   Generate a uniform random Mat[Double] of a certain size

   Generate a uniform random Mat[Double] of a certain size

   rows

   Number of rows

   cols

   Number of rows

5.  def randI(rows: Int, cols: Int): Mat[Int]

   Generate a uniform random Mat[Int] of a certain size

   Generate a uniform random Mat[Int] of a certain size

   rows

   Number of rows

   cols

   Number of rows

6.  def randl(rows: Int, cols: Int): Mat[Long]

   Generate a uniform random Mat[Long] of a certain size

   Generate a uniform random Mat[Long] of a certain size

   rows

   Number of rows

   cols

   Number of rows

7.  def randn(rows: Int, cols: Int): Mat[Double]

   Generate a gaussian(0, 1) random Mat[Double] of a certain size

   Generate a gaussian(0, 1) random Mat[Double] of a certain size

   rows

   Number of rows

   cols

   Number of rows

8.  def randn2(rows: Int, cols: Int, mu: Double, sigma: Double): Mat[Double]

   Generate a gaussian(mu, sigma) random Mat[Double] of a certain size

   Generate a gaussian(mu, sigma) random Mat[Double] of a certain size

   rows

   Number of rows

   cols

   Number of rows

   mu

   Mean of distribution

   sigma

   Stdev of distribution

9.  def randp(rows: Int, cols: Int): Mat[Double]

   Generate a uniform random positive Mat[Double] of a certain size

   Generate a uniform random positive Mat[Double] of a certain size

   rows

   Number of rows

   cols

   Number of rows

10.  def randpi(rows: Int, cols: Int): Mat[Int]

    Generate a uniform random positive Mat[Int] of a certain size

    Generate a uniform random positive Mat[Int] of a certain size

    rows

    Number of rows

    cols

    Number of rows

11.  def randpl(rows: Int, cols: Int): Mat[Long]

    Generate a uniform random positive Mat[Long] of a certain size

    Generate a uniform random positive Mat[Long] of a certain size

    rows

    Number of rows

    cols

    Number of rows

12.  def repeat[T](v: Array[T], n: Int, asRows: Boolean = false)(implicit arg0: ST[T]): Mat[T]

    Repeats an array in a particular direction to create a 2D matrix

    Repeats an array in a particular direction to create a 2D matrix

    T

    type of elements in array

    v

    array of values to repeat

    n

    number of repetitions

    asRows

    if true, returns row-tiling; default is column-tiling

13.  def zeros(rows: Int, cols: Int): Mat[Double]
14.  object MatCols
15.  object MatMath

    Matrix mathematical helper routines.