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class MatrixL extends MatriL with Error with Serializable

The MatrixL class stores and operates on Numeric Matrices of type Long. This class follows the gen.MatrixN framework and is provided for efficiency.

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Serializable, Serializable, MatriL, Error, AnyRef, Any
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  1. MatrixL
  2. Serializable
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  4. MatriL
  5. Error
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  7. Any
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Instance Constructors

  1. new MatrixL(b: MatrixL)

    Construct a matrix and assign values from matrix 'b'.

    Construct a matrix and assign values from matrix 'b'.

    b

    the matrix of values to assign

  2. new MatrixL(dim: (Int, Int), u: Long*)

    Construct a matrix from repeated values.

    Construct a matrix from repeated values.

    dim

    the (row, column) dimensions

    u

    the repeated values

  3. new MatrixL(u: Array[MM_ArrayL])

    Construct a matrix and assign values from array of arrays 'u'.

    Construct a matrix and assign values from array of arrays 'u'.

    u

    the 2D array of values to assign

  4. new MatrixL(dim1: Int, dim2: Int, x: Long)

    Construct a 'dim1' by 'dim2' matrix and assign each element the value 'x'.

    Construct a 'dim1' by 'dim2' matrix and assign each element the value 'x'.

    dim1

    the row dimension

    dim2

    the column dimesion

    x

    the scalar value to assign

  5. new MatrixL(dim1: Int)

    Construct a 'dim1' by 'dim1' square matrix.

    Construct a 'dim1' by 'dim1' square matrix.

    dim1

    the row and column dimension

  6. new MatrixL(d1: Int, d2: Int, v: Array[MM_ArrayL] = null)

    d1

    the first/row dimension

    d2

    the second/column dimension

    v

    the 2D array used to store matrix elements

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. def *(x: Long): MatrixL

    Multiply 'this' matrix by scalar 'x'.

    Multiply 'this' matrix by scalar 'x'.

    x

    the scalar to multiply by

    Definition Classes
    MatrixLMatriL
  4. def *(u: VectorL): VectorL

    Multiply 'this' matrix by vector 'u' (vector elements beyond 'dim2' ignored).

    Multiply 'this' matrix by vector 'u' (vector elements beyond 'dim2' ignored).

    u

    the vector to multiply by

    Definition Classes
    MatrixLMatriL
  5. def *(b: MatriL): MatrixL

    Multiply 'this' matrix by matrix 'b', transposing 'b' to improve efficiency.

    Multiply 'this' matrix by matrix 'b', transposing 'b' to improve efficiency. Use 'times' method to skip the transpose step.

    b

    the matrix to multiply by (requires sameCrossDimensions)

    Definition Classes
    MatrixLMatriL
  6. def *(b: MatrixL): MatrixL

    Multiply 'this' matrix by matrix 'b', transposing 'b' to improve efficiency.

    Multiply 'this' matrix by matrix 'b', transposing 'b' to improve efficiency. Use 'times' method to skip the transpose step.

    b

    the matrix to multiply by (requires sameCrossDimensions)

  7. def **(u: VectorL): MatrixL

    Multiply 'this' matrix by vector 'u' to produce another matrix '(a_ij * u_j)'.

    Multiply 'this' matrix by vector 'u' to produce another matrix '(a_ij * u_j)'. E.g., multiply a matrix by a diagonal matrix represented as a vector.

    u

    the vector to multiply by

    Definition Classes
    MatrixLMatriL
  8. def **=(u: VectorL): MatrixL

    Multiply in-place 'this' matrix by vector 'u' to produce another matrix '(a_ij * u_j)'.

    Multiply in-place 'this' matrix by vector 'u' to produce another matrix '(a_ij * u_j)'.

    u

    the vector to multiply by

    Definition Classes
    MatrixLMatriL
  9. def *=(x: Long): MatrixL

    Multiply in-place 'this' matrix by scalar 'x'.

    Multiply in-place 'this' matrix by scalar 'x'.

    x

    the scalar to multiply by

    Definition Classes
    MatrixLMatriL
  10. def *=(b: MatriL): MatrixL

    Multiply in-place 'this' matrix by matrix 'b', transposing 'b' to improve efficiency.

    Multiply in-place 'this' matrix by matrix 'b', transposing 'b' to improve efficiency. Use 'times_ip' method to skip the transpose step.

    b

    the matrix to multiply by (requires square and sameCrossDimensions)

    Definition Classes
    MatrixLMatriL
  11. def *=(b: MatrixL): MatrixL

    Multiply in-place 'this' matrix by matrix 'b', transposing 'b' to improve efficiency.

    Multiply in-place 'this' matrix by matrix 'b', transposing 'b' to improve efficiency. Use 'times_ip' method to skip the transpose step.

    b

    the matrix to multiply by (requires square and sameCrossDimensions)

  12. def +(x: Long): MatrixL

    Add 'this' matrix and scalar 'x'.

    Add 'this' matrix and scalar 'x'.

    x

    the scalar to add

    Definition Classes
    MatrixLMatriL
  13. def +(u: VectorL): MatrixL

    Add 'this' matrix and (row) vector 'u'.

    Add 'this' matrix and (row) vector 'u'.

    u

    the vector to add

    Definition Classes
    MatrixLMatriL
  14. def +(b: MatriL): MatrixL

    Add 'this' matrix and matrix 'b' for any type extending MatriL.

    Add 'this' matrix and matrix 'b' for any type extending MatriL.

    b

    the matrix to add (requires leDimensions)

    Definition Classes
    MatrixLMatriL
  15. def +(b: MatrixL): MatrixL

    Add 'this' matrix and matrix 'b'.

    Add 'this' matrix and matrix 'b'.

    b

    the matrix to add (requires leDimensions)

  16. def ++(b: MatriL): MatrixL

    Concatenate (row-wise) 'this' matrix and matrix 'b'.

    Concatenate (row-wise) 'this' matrix and matrix 'b'.

    b

    the matrix to be concatenated as the new last rows in new matrix

    Definition Classes
    MatrixLMatriL
  17. def ++^(b: MatriL): MatrixL

    Concatenate (column-wise) 'this' matrix and matrix 'b'.

    Concatenate (column-wise) 'this' matrix and matrix 'b'.

    b

    the matrix to be concatenated as the new last columns in new matrix

    Definition Classes
    MatrixLMatriL
  18. def +:(u: VectorL): MatrixL

    Concatenate (row) vector 'u' and 'this' matrix, i.e., prepend 'u' to 'this'.

    Concatenate (row) vector 'u' and 'this' matrix, i.e., prepend 'u' to 'this'.

    u

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

    Definition Classes
    MatrixLMatriL
  19. def +=(x: Long): MatrixL

    Add in-place 'this' matrix and scalar 'x'.

    Add in-place 'this' matrix and scalar 'x'.

    x

    the scalar to add

    Definition Classes
    MatrixLMatriL
  20. def +=(u: VectorL): MatrixL

    Add in-place 'this' matrix and (row) vector 'u'.

    Add in-place 'this' matrix and (row) vector 'u'.

    u

    the vector to add

    Definition Classes
    MatrixLMatriL
  21. def +=(b: MatriL): MatrixL

    Add in-place 'this' matrix and matrix 'b' for any type extending MatriL.

    Add in-place 'this' matrix and matrix 'b' for any type extending MatriL.

    b

    the matrix to add (requires leDimensions)

    Definition Classes
    MatrixLMatriL
  22. def +=(b: MatrixL): MatrixL

    Add in-place 'this' matrix and matrix 'b'.

    Add in-place 'this' matrix and matrix 'b'.

    b

    the matrix to add (requires leDimensions)

  23. def +^:(u: VectorL): MatrixL

    Concatenate (column) vector 'u' and 'this' matrix, i.e., prepend 'u' to 'this'.

    Concatenate (column) vector 'u' and 'this' matrix, i.e., prepend 'u' to 'this'.

    u

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

    Definition Classes
    MatrixLMatriL
  24. def -(x: Long): MatrixL

    From 'this' matrix subtract scalar 'x'.

    From 'this' matrix subtract scalar 'x'.

    x

    the scalar to subtract

    Definition Classes
    MatrixLMatriL
  25. def -(u: VectorL): MatrixL

    From 'this' matrix subtract (row) vector 'u'.

    From 'this' matrix subtract (row) vector 'u'.

    u

    the vector to subtract@param b the vector to subtract

    Definition Classes
    MatrixLMatriL
  26. def -(b: MatriL): MatrixL

    From 'this' matrix subtract matrix 'b' for any type extending MatriL.

    From 'this' matrix subtract matrix 'b' for any type extending MatriL.

    b

    the matrix to subtract (requires leDimensions)

    Definition Classes
    MatrixLMatriL
  27. def -(b: MatrixL): MatrixL

    From 'this' matrix subtract matrix 'b'.

    From 'this' matrix subtract matrix 'b'.

    b

    the matrix to subtract (requires leDimensions)

  28. def -=(x: Long): MatrixL

    From 'this' matrix subtract in-place scalar 'x'.

    From 'this' matrix subtract in-place scalar 'x'.

    x

    the scalar to subtract

    Definition Classes
    MatrixLMatriL
  29. def -=(u: VectorL): MatrixL

    From 'this' matrix subtract in-place (row) vector 'u'.

    From 'this' matrix subtract in-place (row) vector 'u'.

    u

    the vector to subtract@param b the vector to subtract

    Definition Classes
    MatrixLMatriL
  30. def -=(b: MatriL): MatrixL

    From 'this' matrix subtract in-place matrix 'b'.

    From 'this' matrix subtract in-place matrix 'b'.

    b

    the matrix to subtract (requires leDimensions)

    Definition Classes
    MatrixLMatriL
  31. def -=(b: MatrixL): MatrixL

    From 'this' matrix subtract in-place matrix 'b'.

    From 'this' matrix subtract in-place matrix 'b'.

    b

    the matrix to subtract (requires leDimensions)

  32. def /(x: Long): MatrixL

    Divide 'this' matrix by scalar 'x'.

    Divide 'this' matrix by scalar 'x'.

    x

    the scalar to divide by

    Definition Classes
    MatrixLMatriL
  33. def /=(x: Long): MatrixL

    Divide in-place 'this' matrix by scalar 'x'.

    Divide in-place 'this' matrix by scalar 'x'.

    x

    the scalar to divide by

    Definition Classes
    MatrixLMatriL
  34. def :+(u: VectorL): MatrixL

    Concatenate 'this' matrix and (row) vector 'u', i.e., append 'u' to 'this'.

    Concatenate 'this' matrix and (row) vector 'u', i.e., append 'u' to 'this'.

    u

    the vector to be appended as the new last row in new matrix

    Definition Classes
    MatrixLMatriL
  35. def :^+(u: VectorL): MatrixL

    Concatenate 'this' matrix and (column) vector 'u', i.e., append 'u' to 'this'.

    Concatenate 'this' matrix and (column) vector 'u', i.e., append 'u' to 'this'.

    u

    the vector to be appended as the new last column in new matrix

    Definition Classes
    MatrixLMatriL
  36. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  37. def apply(ir: Range, jr: Range): MatrixL

    Get a slice 'this' matrix row-wise on range 'ir' and column-wise on range 'jr'.

    Get a slice 'this' matrix row-wise on range 'ir' and column-wise on range 'jr'. Ex: b = a(2..4, 3..5)

    ir

    the row range

    jr

    the column range

    Definition Classes
    MatrixLMatriL
  38. def apply(i: Int): VectorL

    Get 'this' matrix's vector at the 'i'-th index position ('i'-th row).

    Get 'this' matrix's vector at the 'i'-th index position ('i'-th row).

    i

    the row index

    Definition Classes
    MatrixLMatriL
  39. def apply(i: Int, j: Int): Long

    Get 'this' matrix's element at the 'i,j'-th index position.

    Get 'this' matrix's element at the 'i,j'-th index position.

    i

    the row index

    j

    the column index

    Definition Classes
    MatrixLMatriL
  40. def apply(i: Int, jr: Range): VectorL

    Get a slice 'this' matrix row-wise at index 'i' and column-wise on range 'jr'.

    Get a slice 'this' matrix row-wise at index 'i' and column-wise on range 'jr'. Ex: u = a(2, 3..5)

    i

    the row index

    jr

    the column range

    Definition Classes
    MatriL
  41. def apply(ir: Range, j: Int): VectorL

    Get a slice 'this' matrix row-wise on range ir and column-wise at index j.

    Get a slice 'this' matrix row-wise on range ir and column-wise at index j. Ex: u = a(2..4, 3)

    ir

    the row range

    j

    the column index

    Definition Classes
    MatriL
  42. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  43. def clean(thres: Double, relative: Boolean = true): MatrixL

    Clean values in 'this' matrix at or below the threshold 'thres' by setting them to zero.

    Clean values in 'this' matrix at or below the threshold 'thres' by setting them to zero. Iterative algorithms give approximate values and if very close to zero, may throw off other calculations, e.g., in computing eigenvectors.

    thres

    the cutoff threshold (a small value)

    relative

    whether to use relative or absolute cutoff

    Definition Classes
    MatrixLMatriL
  44. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  45. def col(col: Int, from: Int = 0): VectorL

    Get column 'col' from the matrix, returning it as a vector.

    Get column 'col' from the matrix, returning it as a vector.

    col

    the column to extract from the matrix

    from

    the position to start extracting from

    Definition Classes
    MatrixLMatriL
  46. val d1: Int
  47. val d2: Int
  48. def det: Long

    Compute the determinant of 'this' matrix.

    Compute the determinant of 'this' matrix. The value of the determinant indicates, among other things, whether there is a unique solution to a system of linear equations (a nonzero determinant).

    Definition Classes
    MatrixLMatriL
  49. def diag(p: Int, q: Int = 0): MatrixL

    Form a matrix '[Ip, this, Iq]' where Ir is a r-by-r identity matrix, by positioning the three matrices 'Ip', 'this' and 'Iq' along the diagonal.

    Form a matrix '[Ip, this, Iq]' where Ir is a r-by-r identity matrix, by positioning the three matrices 'Ip', 'this' and 'Iq' along the diagonal. Fill the rest of matrix with zeros.

    p

    the size of identity matrix Ip

    q

    the size of identity matrix Iq

    Definition Classes
    MatrixLMatriL
  50. def diag(b: MatriL): MatrixL

    Combine 'this' matrix with matrix 'b', placing them along the diagonal and filling in the bottom left and top right regions with zeros; '[this, b]'.

    Combine 'this' matrix with matrix 'b', placing them along the diagonal and filling in the bottom left and top right regions with zeros; '[this, b]'.

    b

    the matrix to combine with 'this' matrix

    Definition Classes
    MatrixLMatriL
  51. lazy val dim1: Int

    Dimension 1

    Dimension 1

    Definition Classes
    MatrixLMatriL
  52. lazy val dim2: Int

    Dimension 2

    Dimension 2

    Definition Classes
    MatrixLMatriL
  53. def dot(u: VectorL): VectorL

    Compute the dot product of 'this' matrix and vector 'u', by first transposing 'this' matrix and then multiplying by 'u' (ie., 'a dot u = a.t * u').

    Compute the dot product of 'this' matrix and vector 'u', by first transposing 'this' matrix and then multiplying by 'u' (ie., 'a dot u = a.t * u').

    u

    the vector to multiply by (requires same first dimensions)

    Definition Classes
    MatrixLMatriL
  54. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  55. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  56. val fString: String

    Format string used for printing vector values (change using setFormat)

    Format string used for printing vector values (change using setFormat)

    Attributes
    protected
    Definition Classes
    MatriL
  57. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  58. 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
  59. def foreach[U](f: (MM_ArrayL) ⇒ U): Unit

    Iterate over 'this' matrix row by row applying method 'f'.

    Iterate over 'this' matrix row by row applying method 'f'.

    f

    the function to apply

    Definition Classes
    MatriL
  60. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  61. def getDiag(k: Int = 0): VectorL

    Get the kth diagonal of 'this' matrix.

    Get the kth diagonal of 'this' matrix. Assumes 'dim2 >= dim1'.

    k

    how far above the main diagonal, e.g., (-1, 0, 1) for (sub, main, super)

    Definition Classes
    MatrixLMatriL
  62. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  63. def inverse: MatrixL

    Invert 'this' matrix (requires a square matrix) and use partial pivoting.

    Invert 'this' matrix (requires a square matrix) and use partial pivoting.

    Definition Classes
    MatrixLMatriL
  64. def inverse_ip: MatrixL

    Invert in-place 'this' matrix (requires a square matrix) and uses partial pivoting.

    Invert in-place 'this' matrix (requires a square matrix) and uses partial pivoting. Note: this method turns the orginal matrix into the identity matrix. The inverse is returned and is captured by assignment.

    Definition Classes
    MatrixLMatriL
  65. def inverse_npp: MatrixL

    Invert 'this' matrix (requires a square matrix) and does not use partial pivoting.

  66. def isBidiagonal: Boolean

    Check whether 'this' matrix is bidiagonal (has non-zreo elements only in main diagonal and superdiagonal).

    Check whether 'this' matrix is bidiagonal (has non-zreo elements only in main diagonal and superdiagonal). The method may be overriding for efficiency.

    Definition Classes
    MatriL
  67. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  68. def isNonnegative: Boolean

    Check whether 'this' matrix is nonnegative (has no negative elements).

    Check whether 'this' matrix is nonnegative (has no negative elements).

    Definition Classes
    MatriL
  69. def isRectangular: Boolean

    Check whether 'this' matrix is rectangular (all rows have the same number of columns).

    Check whether 'this' matrix is rectangular (all rows have the same number of columns).

    Definition Classes
    MatrixLMatriL
  70. def isSquare: Boolean

    Check whether 'this' matrix is square (same row and column dimensions).

    Check whether 'this' matrix is square (same row and column dimensions).

    Definition Classes
    MatriL
  71. def isSymmetric: Boolean

    Check whether 'this' matrix is symmetric.

    Check whether 'this' matrix is symmetric.

    Definition Classes
    MatriL
  72. def isTridiagonal: Boolean

    Check whether 'this' matrix is bidiagonal (has non-zreo elements only in main diagonal and superdiagonal).

    Check whether 'this' matrix is bidiagonal (has non-zreo elements only in main diagonal and superdiagonal). The method may be overriding for efficiency.

    Definition Classes
    MatriL
  73. def leDimensions(b: MatriL): Boolean

    Check whether 'this' matrix dimensions are less than or equal to (le) those of the other matrix 'b'.

    Check whether 'this' matrix dimensions are less than or equal to (le) those of the other matrix 'b'.

    b

    the other matrix

    Definition Classes
    MatriL
  74. def lud: (MatrixL, MatrixL)

    Factor 'this' matrix into the product of lower and upper triangular matrices '(l, u)' using the LU Factorization algorithm.

    Factor 'this' matrix into the product of lower and upper triangular matrices '(l, u)' using the LU Factorization algorithm. This version uses partial pivoting.

    Definition Classes
    MatrixLMatriL
  75. def lud_ip: (MatrixL, MatrixL)

    Factor in-place 'this' matrix into the product of lower and upper triangular matrices '(l, u)' using the LU Factorization algorithm.

    Factor in-place 'this' matrix into the product of lower and upper triangular matrices '(l, u)' using the LU Factorization algorithm. This version uses partial pivoting.

    Definition Classes
    MatrixLMatriL
  76. def lud_npp: (MatrixL, MatrixL)

    Factor 'this' matrix into the product of upper and lower triangular matrices '(l, u)' using the LU Factorization algorithm.

    Factor 'this' matrix into the product of upper and lower triangular matrices '(l, u)' using the LU Factorization algorithm. This version uses no partial pivoting.

  77. def mag: Long

    Find the magnitude of 'this' matrix, the element value farthest from zero.

    Find the magnitude of 'this' matrix, the element value farthest from zero.

    Definition Classes
    MatriL
  78. def max(e: Int = dim1): Long

    Find the maximum element in 'this' matrix.

    Find the maximum element in 'this' matrix.

    e

    the ending row index (exclusive) for the search

    Definition Classes
    MatrixLMatriL
  79. def mean: VectorL

    Compute the column means of this matrix.

    Compute the column means of this matrix.

    Definition Classes
    MatriL
  80. def min(e: Int = dim1): Long

    Find the minimum element in 'this' matrix.

    Find the minimum element in 'this' matrix.

    e

    the ending row index (exclusive) for the search

    Definition Classes
    MatrixLMatriL
  81. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  82. def norm1: Long

    Compute the 1-norm of 'this' matrix, i.e., the maximum 1-norm of the column vectors.

    Compute the 1-norm of 'this' matrix, i.e., the maximum 1-norm of the column vectors. This is useful for comparing matrices '(a - b).norm1'.

    Definition Classes
    MatriL
  83. final def notify(): Unit
    Definition Classes
    AnyRef
  84. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  85. def nullspace: VectorL

    Compute the (right) nullspace of 'this' 'm-by-n' matrix (requires 'n = m+1') by performing Gauss-Jordan reduction and extracting the negation of the last column augmented by 1.

    Compute the (right) nullspace of 'this' 'm-by-n' matrix (requires 'n = m+1') by performing Gauss-Jordan reduction and extracting the negation of the last column augmented by 1.

    nullspace (a) = set of orthogonal vectors v s.t. a * v = 0

    The left nullspace of matrix 'a' is the same as the right nullspace of 'a.t'. FIX: need a more robust algorithm for computing nullspace (@see Fac_QR.scala). FIX: remove the 'n = m+1' restriction.

    Definition Classes
    MatrixLMatriL
    See also

    http://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/ax-b-and-the-four-subspaces /solving-ax-0-pivot-variables-special-solutions/MIT18_06SCF11_Ses1.7sum.pdf

  86. def nullspace_ip: VectorL

    Compute in-place the (right) nullspace of 'this' 'm-by-n' matrix (requires 'n = m+1') by performing Gauss-Jordan reduction and extracting the negation of the last column augmented by 1.

    Compute in-place the (right) nullspace of 'this' 'm-by-n' matrix (requires 'n = m+1') by performing Gauss-Jordan reduction and extracting the negation of the last column augmented by 1.

    nullspace (a) = set of orthogonal vectors v s.t. a * v = 0

    The left nullspace of matrix 'a' is the same as the right nullspace of 'a.t'. FIX: need a more robust algorithm for computing nullspace (@see Fac_QR.scala). FIX: remove the 'n = m+1' restriction.

    Definition Classes
    MatrixLMatriL
    See also

    http://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/ax-b-and-the-four-subspaces /solving-ax-0-pivot-variables-special-solutions/MIT18_06SCF11_Ses1.7sum.pdf

  87. val range1: Range

    Range for the storage array on dimension 1 (rows)

    Range for the storage array on dimension 1 (rows)

    Attributes
    protected
    Definition Classes
    MatriL
  88. val range2: Range

    Range for the storage array on dimension 2 (columns)

    Range for the storage array on dimension 2 (columns)

    Attributes
    protected
    Definition Classes
    MatriL
  89. def rank: Int

    Determine the rank of 'this' m-by-n matrix by taking the upper triangular matrix 'u' from the LU Decomposition and counting the number of non-zero diagonal elements.

    Determine the rank of 'this' m-by-n matrix by taking the upper triangular matrix 'u' from the LU Decomposition and counting the number of non-zero diagonal elements. Implementing classes may override this method with a better one (e.g., SVD or Rank Revealing QR).

    Definition Classes
    MatriL
    See also

    http://en.wikipedia.org/wiki/Rank_%28linear_algebra%29

  90. def reduce: MatrixL

    Use Gauss-Jordan reduction on 'this' matrix to make the left part embed an identity matrix.

    Use Gauss-Jordan reduction on 'this' matrix to make the left part embed an identity matrix. A constraint on this 'm-by-n' matrix is that 'n >= m'. It can be used to solve 'a * x = b': augment 'a' with 'b' and call reduce. Takes '[a | b]' to '[I | x]'.

    Definition Classes
    MatrixLMatriL
  91. def reduce_ip(): Unit

    Use Gauss-Jordan reduction in-place on 'this' matrix to make the left part embed an identity matrix.

    Use Gauss-Jordan reduction in-place on 'this' matrix to make the left part embed an identity matrix. A constraint on this 'm-by-n' matrix is that 'n >= m'. It can be used to solve 'a * x = b': augment 'a' with 'b' and call reduce. Takes '[a | b]' to '[I | x]'.

    Definition Classes
    MatrixLMatriL
  92. def sameCrossDimensions(b: MatriL): Boolean

    Check whether 'this' matrix and the other matrix 'b' have the same cross dimensions.

    Check whether 'this' matrix and the other matrix 'b' have the same cross dimensions.

    b

    the other matrix

    Definition Classes
    MatriL
  93. def sameDimensions(b: MatriL): Boolean

    Check whether 'this' matrix and the other matrix 'b' have the same dimensions.

    Check whether 'this' matrix and the other matrix 'b' have the same dimensions.

    b

    the other matrix

    Definition Classes
    MatriL
  94. def selectCols(colIndex: Array[Int]): MatrixL

    Select columns from 'this' matrix according to the given index/basis.

    Select columns from 'this' matrix according to the given index/basis. Ex: Can be used to divide a matrix into a basis and a non-basis.

    colIndex

    the column index positions (e.g., (0, 2, 5))

    Definition Classes
    MatrixLMatriL
  95. def selectRows(rowIndex: Array[Int]): MatrixL

    Select rows from 'this' matrix according to the given index/basis.

    Select rows from 'this' matrix according to the given index/basis.

    rowIndex

    the row index positions (e.g., (0, 2, 5))

    Definition Classes
    MatrixLMatriL
  96. def set(i: Int, u: VectorL, j: Int = 0): Unit

    Set 'this' matrix's 'i'-th row starting at column 'j' to the vector 'u'.

    Set 'this' matrix's 'i'-th row starting at column 'j' to the vector 'u'.

    i

    the row index

    u

    the vector value to assign

    j

    the starting column index

    Definition Classes
    MatrixLMatriL
  97. def set(u: Array[Array[Long]]): Unit

    Set all the values in 'this' matrix as copies of the values in 2D array 'u'.

    Set all the values in 'this' matrix as copies of the values in 2D array 'u'.

    u

    the 2D array of values to assign

    Definition Classes
    MatrixLMatriL
  98. def set(x: Long): Unit

    Set all the elements in 'this' matrix to the scalar 'x'.

    Set all the elements in 'this' matrix to the scalar 'x'.

    x

    the scalar value to assign

    Definition Classes
    MatrixLMatriL
  99. def setCol(col: Int, u: VectorL): Unit

    Set column 'col' of the matrix to a vector.

    Set column 'col' of the matrix to a vector.

    col

    the column to set

    u

    the vector to assign to the column

    Definition Classes
    MatrixLMatriL
  100. def setDiag(x: Long): Unit

    Set the main diagonal of 'this' matrix to the scalar 'x'.

    Set the main diagonal of 'this' matrix to the scalar 'x'. Assumes 'dim2 >= dim1'.

    x

    the scalar to set the diagonal to

    Definition Classes
    MatrixLMatriL
  101. def setDiag(u: VectorL, k: Int = 0): Unit

    Set the kth diagonal of 'this' matrix to the vector 'u'.

    Set the kth diagonal of 'this' matrix to the vector 'u'. Assumes 'dim2 >= dim1'.

    u

    the vector to set the diagonal to

    k

    how far above the main diagonal, e.g., (-1, 0, 1) for (sub, main, super)

    Definition Classes
    MatrixLMatriL
  102. def setFormat(newFormat: String): Unit

    Set the format to the 'newFormat'.

    Set the format to the 'newFormat'.

    newFormat

    the new format string

    Definition Classes
    MatriL
  103. def slice(r_from: Int, r_end: Int, c_from: Int, c_end: Int): MatrixL

    Slice 'this' matrix row-wise 'r_from' to 'r_end' and column-wise 'c_from' to 'c_end'.

    Slice 'this' matrix row-wise 'r_from' to 'r_end' and column-wise 'c_from' to 'c_end'.

    r_from

    the start of the row slice

    r_end

    the end of the row slice

    c_from

    the start of the column slice

    c_end

    the end of the column slice

    Definition Classes
    MatrixLMatriL
  104. def slice(from: Int, end: Int): MatrixL

    Slice 'this' matrix row-wise 'from' to 'end'.

    Slice 'this' matrix row-wise 'from' to 'end'.

    from

    the start row of the slice (inclusive)

    end

    the end row of the slice (exclusive)

    Definition Classes
    MatrixLMatriL
  105. def sliceCol(from: Int, end: Int): MatrixL

    Slice 'this' matrix column-wise 'from' to 'end'.

    Slice 'this' matrix column-wise 'from' to 'end'.

    from

    the start column of the slice (inclusive)

    end

    the end column of the slice (exclusive)

    Definition Classes
    MatrixLMatriL
  106. def sliceExclude(row: Int, col: Int): MatrixL

    Slice 'this' matrix excluding the given row and/or column.

    Slice 'this' matrix excluding the given row and/or column.

    row

    the row to exclude (0 until dim1, set to dim1 to keep all rows)

    col

    the column to exclude (0 until dim2, set to dim2 to keep all columns)

    Definition Classes
    MatrixLMatriL
  107. def solve(b: VectorL): VectorL

    Solve for 'x' in the equation 'a*x = b' where 'a' is 'this' matrix.

    Solve for 'x' in the equation 'a*x = b' where 'a' is 'this' matrix.

    b

    the constant vector.

    Definition Classes
    MatrixLMatriL
  108. def solve(u: MatriL, b: VectorL): VectorL

    Solve for 'x' in the equation 'l*u*x = b' where 'l = this'.

    Solve for 'x' in the equation 'l*u*x = b' where 'l = this'. Requires 'l' to be lower triangular.

    u

    the upper triangular matrix

    b

    the constant vector

  109. def solve(l: MatriL, u: MatriL, b: VectorL): VectorL

    Solve for 'x' in the equation 'l*u*x = b' (see lud above).

    Solve for 'x' in the equation 'l*u*x = b' (see lud above).

    l

    the lower triangular matrix

    u

    the upper triangular matrix

    b

    the constant vector

    Definition Classes
    MatrixLMatriL
  110. def solve(lu: (MatriL, MatriL), b: VectorL): VectorL

    Solve for 'x' in the equation 'l*u*x = b' (see lud above).

    Solve for 'x' in the equation 'l*u*x = b' (see lud above).

    lu

    the lower and upper triangular matrices

    b

    the constant vector

    Definition Classes
    MatriL
  111. def sum: Long

    Compute the sum of 'this' matrix, i.e., the sum of its elements.

    Compute the sum of 'this' matrix, i.e., the sum of its elements.

    Definition Classes
    MatrixLMatriL
  112. def sumAbs: Long

    Compute the abs sum of 'this' matrix, i.e., the sum of the absolute value of its elements.

    Compute the abs sum of 'this' matrix, i.e., the sum of the absolute value of its elements. This is useful for comparing matrices '(a - b).sumAbs'.

    Definition Classes
    MatrixLMatriL
  113. def sumLower: Long

    Compute the sum of the lower triangular region of 'this' matrix.

    Compute the sum of the lower triangular region of 'this' matrix.

    Definition Classes
    MatrixLMatriL
  114. def swap(i: Int, k: Int, col: Int = 0): Unit

    Swap the elements in rows 'i' and 'k' starting from column 'col'.

    Swap the elements in rows 'i' and 'k' starting from column 'col'.

    i

    the first row in the swap

    k

    the second row in the swap

    col

    the starting column for the swap (default 0 => whole row)

    Definition Classes
    MatriL
  115. def swapCol(j: Int, l: Int, row: Int = 0): Unit

    Swap the elements in columns 'j' and 'l' starting from row 'row'.

    Swap the elements in columns 'j' and 'l' starting from row 'row'.

    j

    the first column in the swap

    l

    the second column in the swap

    row

    the starting row for the swap (default 0 => whole column)

    Definition Classes
    MatriL
  116. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  117. def t: MatrixL

    Transpose 'this' matrix (rows => columns).

    Transpose 'this' matrix (rows => columns).

    Definition Classes
    MatrixLMatriL
  118. def times(b: MatrixL): MatrixL

    Multiply 'this' matrix by matrix 'b' without first transposing 'b'.

    Multiply 'this' matrix by matrix 'b' without first transposing 'b'.

    b

    the matrix to multiply by (requires sameCrossDimensions)

  119. def times_d(b: MatriL): MatrixL

    Multiply 'this' matrix by matrix 'b' using 'dot' product (concise solution).

    Multiply 'this' matrix by matrix 'b' using 'dot' product (concise solution).

    b

    the matrix to multiply by (requires sameCrossDimensions)

  120. def times_ip(b: MatrixL): Unit

    Multiply in-place 'this' matrix by matrix 'b' without first transposing 'b'.

    Multiply in-place 'this' matrix by matrix 'b' without first transposing 'b'. If b and this reference the same matrix (b == this), a copy of the this matrix is made.

    b

    the matrix to multiply by (requires square and sameCrossDimensions)

  121. def times_s(b: MatrixL): MatrixL

    Multiply 'this' matrix by matrix b using the Strassen matrix multiplication algorithm.

    Multiply 'this' matrix by matrix b using the Strassen matrix multiplication algorithm. Both matrices ('this' and 'b') must be square. Although the algorithm is faster than the traditional cubic algorithm, its requires more memory and is often less stable (due to round-off errors). FIX: could be make more efficient using a virtual slice (vslice) method.

    b

    the matrix to multiply by (it has to be a square matrix)

    See also

    http://en.wikipedia.org/wiki/Strassen_algorithm

  122. def toString(): String

    Convert 'this' real (double precision) matrix to a string.

    Convert 'this' real (double precision) matrix to a string.

    Definition Classes
    MatrixL → AnyRef → Any
  123. def trace: Long

    Compute the trace of 'this' matrix, i.e., the sum of the elements on the main diagonal.

    Compute the trace of 'this' matrix, i.e., the sum of the elements on the main diagonal. Should also equal the sum of the eigenvalues.

    Definition Classes
    MatrixLMatriL
    See also

    Eigen.scala

  124. def update(ir: Range, jr: Range, b: MatriL): Unit

    Set a slice 'this' matrix row-wise on range ir and column-wise on range 'jr'.

    Set a slice 'this' matrix row-wise on range ir and column-wise on range 'jr'. Ex: a(2..4, 3..5) = b

    ir

    the row range

    jr

    the column range

    b

    the matrix to assign

    Definition Classes
    MatrixLMatriL
  125. def update(i: Int, u: VectorL): Unit

    Set 'this' matrix's row at the 'i'-th index position to the vector 'u'.

    Set 'this' matrix's row at the 'i'-th index position to the vector 'u'.

    i

    the row index

    u

    the vector value to assign

    Definition Classes
    MatrixLMatriL
  126. def update(i: Int, j: Int, x: Long): Unit

    Set 'this' matrix's element at the 'i,j'-th index position to the scalar 'x'.

    Set 'this' matrix's element at the 'i,j'-th index position to the scalar 'x'.

    i

    the row index

    j

    the column index

    x

    the scalar value to assign

    Definition Classes
    MatrixLMatriL
  127. def update(i: Int, jr: Range, u: VectorL): Unit

    Set a slice of 'this' matrix row-wise at index 'i' and column-wise on range 'jr' to vector 'u'.

    Set a slice of 'this' matrix row-wise at index 'i' and column-wise on range 'jr' to vector 'u'. Ex: a(2, 3..5) = u

    i

    the row index

    jr

    the column range

    u

    the vector to assign

    Definition Classes
    MatriL
  128. def update(ir: Range, j: Int, u: VectorL): Unit

    Set a slice of 'this' matrix row-wise on range 'ir' and column-wise at index 'j' to vector 'u'.

    Set a slice of 'this' matrix row-wise on range 'ir' and column-wise at index 'j' to vector 'u'. Ex: a(2..4, 3) = u

    ir

    the row range

    j

    the column index

    u

    the vector to assign

    Definition Classes
    MatriL
  129. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  130. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  131. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  132. def write(fileName: String): Unit

    Write 'this' matrix to a CSV-formatted text file with name 'fileName'.

    Write 'this' matrix to a CSV-formatted text file with name 'fileName'.

    fileName

    the name of file to hold the data

    Definition Classes
    MatrixLMatriL
  133. def ~^(p: Int): MatrixL

    Raise 'this' matrix to the 'p'th power (for some integer 'p' >= 2).

    Raise 'this' matrix to the 'p'th power (for some integer 'p' >= 2). Caveat: should be replace by a divide and conquer algorithm.

    p

    the power to raise 'this' matrix to

    Definition Classes
    MatrixLMatriL

Inherited from Serializable

Inherited from Serializable

Inherited from MatriL

Inherited from Error

Inherited from AnyRef

Inherited from Any

Ungrouped