MatrixC

Instance Constructors

new MatrixC(u: MatrixC)

Construct a matrix and assign values from matrix u.
Construct a matrix and assign values from matrix u.
u
the matrix of values to assign
new MatrixC(u: Array[VectorC])

Construct a matrix and assign values from array of vectors u.
Construct a matrix and assign values from array of vectors u.
u
the 2D array of values to assign
new MatrixC(dim: (Int, Int), u00: Double, u: Double*)

Construct a matrix from repeated real values.
Construct a matrix from repeated real values.
dim
the (row, column) dimensions
u00
the first value (necessary due to type erasure)
u
the rest of the repeated values
new MatrixC(dim: (Int, Int), u: Complex*)

Construct a matrix from repeated values.
Construct a matrix from repeated values.
dim
the (row, column) dimensions
u
the repeated values
new MatrixC(u: Array[Array[Complex]])

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
new MatrixC(dim1: Int, x: Complex, y: Complex)

Construct a dim1 by dim1 square matrix with x assigned on the diagonal and y assigned off the diagonal.
Construct a dim1 by dim1 square matrix with x assigned on the diagonal and y assigned off the diagonal. To obtain an identity matrix, let x = 1 and y = 0.
dim1
the row and column dimension
x
the scalar value to assign on the diagonal
y
the scalar value to assign off the diagonal
new MatrixC(dim1: Int, dim2: Int, x: Complex)

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
new MatrixC(dim1: Int)

Construct a dim1 by dim1 square matrix.
Construct a dim1 by dim1 square matrix.
dim1
the row and column dimension
new MatrixC(d1: Int, d2: Int, v: Array[Array[Complex]] = null)

d1
the first/row dimension
d2
the second/column dimension
v
the 2D array used to store matrix elements

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
def *(x: Complex): MatrixC

Multiply this matrix by scalar x.
Multiply this matrix by scalar x.
x
the scalar to multiply by

Definition Classes
MatrixC → Matric
def *(u: VectorC): VectorC

Multiply this matrix by vector u (efficient solution).
Multiply this matrix by vector u (efficient solution).
u
the vector to multiply by

Definition Classes
MatrixC → Matric
def *(b: MatrixC): MatrixC

Multiply this matrix by matrix b (efficient solution).
Multiply this matrix by matrix b (efficient solution).
b
the matrix to multiply by (requires sameCrossDimensions)
def **(u: VectorC): MatrixC

Multiply this matrix by vector u to produce another matrix (a_ij * b_j)
Multiply this matrix by vector u to produce another matrix (a_ij * b_j)
u
the vector to multiply by

Definition Classes
MatrixC → Matric
def **=(u: VectorC): MatrixC

Multiply in-place this matrix by vector u to produce another matrix (a_ij * b_j)
Multiply in-place this matrix by vector u to produce another matrix (a_ij * b_j)
u
the vector to multiply by

Definition Classes
MatrixC → Matric
def *=(x: Complex): MatrixC

Multiply in-place this matrix by scalar x.
Multiply in-place this matrix by scalar x.
x
the scalar to multiply by

Definition Classes
MatrixC → Matric
def *=(b: MatrixC): MatrixC

Multiply in-place this matrix by matrix b.
Multiply in-place this matrix by matrix 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)
def +(x: Complex): MatrixC

Add this matrix and scalar x.
Add this matrix and scalar x.
x
the scalar to add

Definition Classes
MatrixC → Matric
def +(b: MatrixC): MatrixC

Add this matrix and matrix b.
Add this matrix and matrix b.
b
the matrix to add (requires leDimensions)
def ++(u: VectorC): MatrixC

Concatenate this matrix and vector u.
Concatenate this matrix and vector u.
u
the vector to be concatenated as the new last row in matrix

Definition Classes
MatrixC → Matric
def +=(x: Complex): MatrixC

Add in-place this matrix and scalar x.
Add in-place this matrix and scalar x.
x
the scalar to add

Definition Classes
MatrixC → Matric
def +=(b: MatrixC): MatrixC

Add in-place this matrix and matrix b.
Add in-place this matrix and matrix b.
b
the matrix to add (requires leDimensions)
def -(x: Complex): MatrixC

From this matrix subtract scalar x.
From this matrix subtract scalar x.
x
the scalar to subtract

Definition Classes
MatrixC → Matric
def -(b: MatrixC): MatrixC

From this matrix subtract matrix b.
From this matrix subtract matrix b.
b
the matrix to subtract (requires leDimensions)
def -=(x: Complex): MatrixC

From this matrix subtract in-place scalar x.
From this matrix subtract in-place scalar x.
x
the scalar to subtract

Definition Classes
MatrixC → Matric
def -=(b: MatrixC): MatrixC

From this matrix subtract in-place matrix b.
From this matrix subtract in-place matrix b.
b
the matrix to subtract (requires leDimensions)
def /(x: Complex): MatrixC

Divide this matrix by scalar x.
Divide this matrix by scalar x.
x
the scalar to divide by

Definition Classes
MatrixC → Matric
def /=(x: Complex): MatrixC

Divide in-place this matrix by scalar x.
Divide in-place this matrix by scalar x.
x
the scalar to divide by

Definition Classes
MatrixC → Matric
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def apply(i: Int, jr: Range): VectorC

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
MatrixC → Matric
def apply(ir: Range, j: Int): VectorC

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
MatrixC → Matric
def apply(ir: Range, jr: Range): MatrixC

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
MatrixC → Matric
def apply(i: Int): VectorC

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
MatrixC → Matric
def apply(i: Int, j: Int): Complex

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
MatrixC → Matric
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clean(thres: Double, relative: Boolean = true): MatrixC

Clean values in matrix at or below the threshold by setting them to zero.
Clean values in matrix at or below the threshold 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
MatrixC → Matric
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def col(col: Int, from: Int = 0): VectorC

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
MatrixC → Matric
val d1: Int

the first/row dimension
val d2: Int

the second/column dimension
def det: Complex

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
MatrixC → Matric
def diag(p: Int, q: Int): MatrixC

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.
p
the size of identity matrix Ip
q
the size of identity matrix Iq

Definition Classes
MatrixC → Matric
def diag(b: MatrixC): MatrixC

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
lazy val dim1: Int

Dimension 1
Dimension 1

Definition Classes
MatrixC → Matric
lazy val dim2: Int

Dimension 2
Dimension 2

Definition Classes
MatrixC → Matric
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
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
def foreach[U](f: (Array[Complex]) ⇒ U): Unit

Iterate over the matrix row by row.
Iterate over the matrix row by row.
f
the function to apply

Definition Classes
Matric
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def getDiag(k: Int = 0): VectorC

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
MatrixC → Matric
def hashCode(): Int

Definition Classes
AnyRef → Any
def inverse: MatrixC

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

Definition Classes
MatrixC → Matric
def inverse_ip: MatrixC

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

Definition Classes
MatrixC → Matric
def inverse_npp: MatrixC

Invert this matrix (requires a squareMatrix) and does not use partial pivoting.
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
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
MatrixC → Matric
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
MatrixC → Matric
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
Matric
def isSymmetric: Boolean

Check whether this matrix is symmetric.
Check whether this matrix is symmetric.

Definition Classes
Matric
def leDimensions(b: Matric): Boolean

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

Definition Classes
Matric
def lud: (MatrixC, MatrixC)

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

Definition Classes
MatrixC → Matric
def lud_ip: (MatrixC, MatrixC)

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

Definition Classes
MatrixC → Matric
def lud_npp: (MatrixC, MatrixC)

Decompose this matrix into the product of upper and lower triangular matrices (l, u) using the LU Decomposition algorithm.
Decompose this matrix into the product of upper and lower triangular matrices (l, u) using the LU Decomposition algorithm. This version uses no partial pivoting.
def mag: Complex

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
Matric
def max(e: Int = dim1): Complex

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
MatrixC → Matric
def min(e: Int = dim1): Complex

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
MatrixC → Matric
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def norm1: Complex

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
MatrixC → Matric
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def nullspace: VectorC

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. The nullspace of matrix a is "this vector v times any scalar s", i.e., a*(v*s) = 0. The left nullspace of matrix a is the same as the right nullspace of a.t (a transpose).

Definition Classes
MatrixC → Matric
def nullspace_ip: VectorC

Compute the (right) nullspace in-place 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 in-place 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. The nullspace of matrix a is "this vector v times any scalar s", i.e., a*(v*s) = 0. The left nullspace of matrix a is the same as the right nullspace of a.t (a transpose).

Definition Classes
MatrixC → Matric
def oneIf(cond: Boolean): Int

Return 1 if the condition is true else 0
Return 1 if the condition is true else 0
cond
the condition to evaluate

Definition Classes
Matric
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
Matric
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
Matric
def rank: Int

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

Definition Classes
Matric
def reduce: MatrixC

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.

Definition Classes
MatrixC → Matric
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.

Definition Classes
MatrixC → Matric
def row(r: Int, from: Int = 0): VectorC

Get row 'r' from the matrix, returning it as a vector.
Get row 'r' from the matrix, returning it as a vector.
r
the row to extract from the matrix
from
the position to start extracting from
def sameCrossDimensions(b: Matric): Boolean

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

Definition Classes
Matric
def sameDimensions(b: Matric): Boolean

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

Definition Classes
Matric
def selectCols(colIndex: Array[Int]): MatrixC

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
MatrixC → Matric
def selectRows(rowIndex: Array[Int]): MatrixC

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
MatrixC → Matric
def set(i: Int, u: VectorC, j: Int = 0): Unit

Set this matrix's ith row starting at column j to the vector u.
Set this matrix's ith 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
MatrixC → Matric
def set(u: Array[Array[Complex]]): 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
MatrixC → Matric
def set(x: Complex): 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
MatrixC → Matric
def set(x: Double): 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
Matric
def setCol(col: Int, u: VectorC): 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
MatrixC → Matric
def setDiag(x: Complex): 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
MatrixC → Matric
def setDiag(u: VectorC, 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
MatrixC → Matric
def setLower(x: Complex): Unit

Set all the lower triangular elements in this matrix to the scalar x.
Set all the lower triangular elements in this matrix to the scalar x.
x
the scalar value to assign

Definition Classes
Matric
def slice(r_from: Int, r_end: Int, c_from: Int, c_end: Int): MatrixC

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
MatrixC → Matric
def slice(from: Int, end: Int): MatrixC

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
MatrixC → Matric
def sliceExclude(row: Int, col: Int): MatrixC

Slice this matrix excluding the given row and column.
Slice this matrix excluding the given row and column.
row
the row to exclude
col
the column to exclude

Definition Classes
MatrixC → Matric
def solve(b: VectorC): VectorC

Solve for x in the equation a*x = b where a is this matrix (see lud above).
Solve for x in the equation a*x = b where a is this matrix (see lud above).
b
the constant vector.

Definition Classes
MatrixC → Matric
def solve(lu: (Matric, Matric), b: VectorC): VectorC

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
MatrixC → Matric
def solve(l: Matric, u: Matric, b: VectorC): VectorC

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
MatrixC → Matric
def sum: Complex

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
MatrixC → Matric
def sumAbs: Complex

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
MatrixC → Matric
def sumLower: Complex

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

Definition Classes
MatrixC → Matric
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def t: MatrixC

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

Definition Classes
MatrixC → Matric
def toString(): String

Convert this matrix to a string.
Convert this matrix to a string.

Definition Classes
MatrixC → AnyRef → Any
def trace: Complex

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
MatrixC → Matric
See also
Eigen.scala
def update(i: Int, jr: Range, u: VectorC): Unit

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

Definition Classes
MatrixC → Matric
def update(ir: Range, j: Int, u: VectorC): Unit

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

Definition Classes
MatrixC → Matric
def update(ir: Range, jr: Range, b: MatrixC): 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
def update(i: Int, u: VectorC): 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
MatrixC → Matric
def update(i: Int, j: Int, x: Complex): 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
MatrixC → Matric
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
def ~^(p: Int): MatrixC

Raise this matrix to the pth power (for some integer p >= 2).
Raise this matrix to the pth 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
MatrixC → Matric

Related Docs: object MatrixC | package linalgebra

class MatrixC extends Matric with Error with Serializable

Instance Constructors

new MatrixC(u: MatrixC)

new MatrixC(u: Array[VectorC])

new MatrixC(dim: (Int, Int), u00: Double, u: Double*)

new MatrixC(dim: (Int, Int), u: Complex*)

new MatrixC(u: Array[Array[Complex]])

new MatrixC(dim1: Int, x: Complex, y: Complex)

new MatrixC(dim1: Int, dim2: Int, x: Complex)

new MatrixC(dim1: Int)

new MatrixC(d1: Int, d2: Int, v: Array[Array[Complex]] = null)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

def *(x: Complex): MatrixC

def *(u: VectorC): VectorC

def *(b: MatrixC): MatrixC

def **(u: VectorC): MatrixC

def **=(u: VectorC): MatrixC

def *=(x: Complex): MatrixC

def *=(b: MatrixC): MatrixC

def +(x: Complex): MatrixC

def +(b: MatrixC): MatrixC

def ++(u: VectorC): MatrixC

def +=(x: Complex): MatrixC

def +=(b: MatrixC): MatrixC

def -(x: Complex): MatrixC

def -(b: MatrixC): MatrixC

def -=(x: Complex): MatrixC

def -=(b: MatrixC): MatrixC

def /(x: Complex): MatrixC

def /=(x: Complex): MatrixC

final def ==(arg0: Any): Boolean

def apply(i: Int, jr: Range): VectorC

def apply(ir: Range, j: Int): VectorC

def apply(ir: Range, jr: Range): MatrixC

def apply(i: Int): VectorC

def apply(i: Int, j: Int): Complex

final def asInstanceOf[T0]: T0

def clean(thres: Double, relative: Boolean = true): MatrixC

def clone(): AnyRef

def col(col: Int, from: Int = 0): VectorC

val d1: Int

val d2: Int

def det: Complex

def diag(p: Int, q: Int): MatrixC

def diag(b: MatrixC): MatrixC

lazy val dim1: Int

lazy val dim2: Int

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def flaw(method: String, message: String): Unit

def foreach[U](f: (Array[Complex]) ⇒ U): Unit

final def getClass(): Class[_]

def getDiag(k: Int = 0): VectorC

def hashCode(): Int

def inverse: MatrixC

def inverse_ip: MatrixC

def inverse_npp: MatrixC

final def isInstanceOf[T0]: Boolean

def isNonnegative: Boolean

def isRectangular: Boolean

def isSquare: Boolean

def isSymmetric: Boolean

def leDimensions(b: Matric): Boolean

def lud: (MatrixC, MatrixC)

def lud_ip: (MatrixC, MatrixC)

def lud_npp: (MatrixC, MatrixC)

def mag: Complex

def max(e: Int = dim1): Complex

def min(e: Int = dim1): Complex

final def ne(arg0: AnyRef): Boolean

def norm1: Complex

final def notify(): Unit

final def notifyAll(): Unit

def nullspace: VectorC

def nullspace_ip: VectorC