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object MatrixD extends Error with Serializable

The MatrixD companion object provides operations for MatrixD that don't require 'this' (like static methods in Java). It provides factory methods for building matrices from files or vectors.

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Serializable, Error, AnyRef, Any
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  1. MatrixD
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Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##: Int
    Definition Classes
    AnyRef → Any
  3. def ++(u: VectoD, w: VectoD): MatrixD

    Concatenate (row) vectors 'u' and 'w' to form a matrix with 2 rows.

    Concatenate (row) vectors 'u' and 'w' to form a matrix with 2 rows.

    u

    the vector to be concatenated as the new first row in matrix

    w

    the vector to be concatenated as the new second row in matrix

  4. def ++^(u: VectoD, w: VectoD): MatrixD

    Concatenate (column) vectors 'u' and 'w' to form a matrix with 2 columns.

    Concatenate (column) vectors 'u' and 'w' to form a matrix with 2 columns.

    u

    the vector to be concatenated as the new first column in matrix

    w

    the vector to be concatenated as the new second column in matrix

  5. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  6. def apply(fileName: String, skip: Int): MatrixD

    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

    skip

    the initial number of lines to skip

  7. def apply(fileName: String): MatrixD

    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

  8. def apply(dim: (Int, Int), u: Double*): MatrixD

    Create a symmetric matrix from repeated values in a lower triangular form.

    Create a symmetric matrix from repeated values in a lower triangular form.

    dim

    the (row, column) dimensions

    u

    the repeated values

  9. def apply(u: Vector[VectoD]): MatrixD

    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

  10. def apply(u: Seq[VectoD], columnwise: Boolean = true): MatrixD

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

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

    u

    the sequence/array of vectors to assign

    columnwise

    whether the vectors are treated as column or row vectors

  11. def apply(u: Array[Array[Double]]): MatrixD

    Create a matrix from a two-dimensional array 'u'.

    Create a matrix from a two-dimensional array 'u'.

    u

    the 2D array for the matrix

  12. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  13. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
  14. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  16. def eye(m: Int, n: Int = 0): MatrixD

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

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

    m

    the row dimension of the matrix

    n

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

  17. final def flaw(method: String, message: String): Unit

    Show the flaw by printing the error message.

    Show the flaw by printing the error message.

    method

    the method where the error occurred

    message

    the error message

    Definition Classes
    Error
  18. def form_cw(x: VectoD, y: Double): MatrixD

    Form a matrix from a vector 'x' and a scalar 'y', column-wise.

    Form a matrix from a vector 'x' and a scalar 'y', column-wise.

    x

    the first vector -> column 0

    y

    the second scalar -> column 1 (repeat scalar)

  19. def form_cw(x: Double, y: VectoD): MatrixD

    Form a matrix from a scalar 'x' and a vector 'y', column-wise.

    Form a matrix from a scalar 'x' and a vector 'y', column-wise.

    x

    the first scalar -> column 0 (repeat scalar)

    y

    the second vector -> column 1

  20. def form_cw(x: VectoD, y: VectoD): MatrixD

    Form a matrix from two vectors 'x' and 'y', column-wise.

    Form a matrix from two vectors 'x' and 'y', column-wise.

    x

    the first vector -> column 0

    y

    the second vector -> column 1

  21. def form_rw(x: VectoD, y: Double): MatrixD

    Form a matrix from a vector 'x' and a scalar 'y', row-wise.

    Form a matrix from a vector 'x' and a scalar 'y', row-wise.

    x

    the first vector -> row 0

    y

    the second scalar -> row 1 (repeat scalar)

  22. def form_rw(x: Double, y: VectoD): MatrixD

    Form a matrix from scalar 'x' and a vector 'y', row-wise.

    Form a matrix from scalar 'x' and a vector 'y', row-wise.

    x

    the first scalar -> row 0 (repeat scalar)

    y

    the second vector -> row 1

  23. def form_rw(x: VectoD, y: VectoD): MatrixD

    Form a matrix from two vectors 'x' and 'y', row-wise.

    Form a matrix from two vectors 'x' and 'y', row-wise.

    x

    the first vector -> row 0

    y

    the second vector -> row 1

  24. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  25. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  26. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  27. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  28. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  29. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  30. def outer(x: VectoD, y: VectoD): MatrixD

    Compute the outer product of vector 'x' and vector 'y'.

    Compute the outer product of vector 'x' and vector 'y'. The result of the outer product is a matrix where 'c(i, j)' is the product of 'i'-th element of 'x' with the 'j'-th element of 'y'.

    x

    the first vector

    y

    the second vector

  31. def setSp(sp_: Char): Unit

    Reset the separating character from its CSV default.

    Reset the separating character from its CSV default.

    sp_

    the new separating character

  32. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  33. def times(u: VectoD, a: MatrixD): VectorD

    Multiply vector 'u' by matrix 'a'.

    Multiply vector 'u' by matrix 'a'. Treat 'u' as a row vector.

    u

    the vector to multiply by

    a

    the matrix to multiply by (requires 'sameCrossDimensions')

  34. def toString(): String
    Definition Classes
    AnyRef → Any
  35. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  36. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  37. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable]) @Deprecated
    Deprecated

Inherited from Serializable

Inherited from Error

Inherited from AnyRef

Inherited from Any

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