Creates a new Matrix instance from a JSON::PullParser. Defaults to a Float64 matrix.

Creates a matrix where each argument is a row.

Matrix[[25, 93], [-1, 66]]
# => [ 25, 93,
#      -1, 66 ]

Creates a matrix of size +row_count+ x +column_count+. It fills the values by calling the given block, passing the current row and column. Returns an enumerator if no block is given.

m = Matrix.build(2, 4) { |row, col| col - row }
# => Matrix[[0, 1, 2, 3], [-1, 0, 1, 2]]
m = Matrix.build(3) { rand }
# => a 3x3 matrix with random elements

Creates a single-column matrix where the values of that column are as given in #column.

Matrix.column_vector([4,5,6])
# => [ 4,
#      5,
#      6 ]

Creates a matrix using +columns+ as an array of column vectors.

Matrix.columns([[25, 93], [-1, 66]])
# => [ 25, -1,
#      93, 66 ]

Create a matrix by combining matrices entrywise, using the given block

x = Matrix[[6, 6], [4, 4]]
y = Matrix[[1, 2], [3, 4]]
Matrix.combine(x, y) {|a, b| a - b}
# => Matrix[[5, 4], [1, 0]]

Creates a matrix where the diagonal elements are composed of values.

Matrix.diagonal(9, 5, -3)
# =>  [ 9,  0,  0,
#       0,  5,  0,
#       0,  0, -3 ]

Creates a matrix where the diagonal elements are composed of values.

Matrix.diagonal(9, 5, -3)
# =>  [ 9,  0,  0,
#       0,  5,  0,
#       0,  0, -3 ]

Creates a empty matrix of #row_count x #column_count. At least one of #row_count or #column_count must be 0.

m = Matrix(Int32).empty(2, 0)
m == Matrix[ [], [] ]
# => true
n = Matrix(Int32).empty(0, 3)
m * n
# => Matrix[[0, 0, 0], [0, 0, 0]]

Create a matrix by stacking matrices horizontally

x = Matrix[[1, 2], [3, 4]]
y = Matrix[[5, 6], [7, 8]]
Matrix.hstack(x, y)
# => Matrix[[1, 2, 5, 6], [3, 4, 7, 8]]

Creates an n by n identity matrix.

NOTE An explicit type is required since it cannot be inferred.

Matrix(Int32).identity(2)
# => [ 1, 0,
#      0, 1 ]

Creates a single-row matrix where the values of that row are as given in #row.

Matrix.row_vector([4,5,6])
# => [ 4, 5, 6 ]

Creates a matrix where +rows+ is an array of arrays, each of which is a row of the matrix. If the optional argument +copy+ is false, use the given arrays as the internal structure of the matrix without copying.

Matrix.rows([[25, 93], [-1, 66]])
# => [ 25, 93,
#      -1, 66 ]

Creates an +n+ by +n+ diagonal matrix where each diagonal element is value.

Matrix.scalar(2, 5)
# => [ 5, 0,
#      0, 5 ]

Creates an n by n identity matrix.

NOTE An explicit type is required since it cannot be inferred.

Matrix(Int32).identity(2)
# => [ 1, 0,
#      0, 1 ]

Create a matrix by stacking matrices vertically

x = Matrix[[1, 2], [3, 4]]
y = Matrix[[5, 6], [7, 8]]
Matrix.vstack(x, y)
# => Matrix[[1, 2], [3, 4], [5, 6], [7, 8]]

Creates a zero matrix. Note that a type definition is required.

Matrix(Int32).zero(2)
# => [ 0, 0,
#      0, 0 ]

Matrix multiplication

Matrix[[2,4], [6,8]] * Matrix.identity(2)
# => [ 2, 4,
#      6, 8 ]

Matrix exponentiation.

Equivalent to multiplying the matrix by itself N times. Non integer exponents will be handled by diagonalizing the matrix.

Matrix[[7,6], [3,9]] ** 2
# => [ 67, 96,
#      48, 99 ]

Matrix addition

Matrix.scalar(2,5) + Matrix[[1,0], [-4,7]]
# => [ 6,  0,
#     -4,  1 ]

Matrix subtraction

Matrix[[1,5], [4,2]] - Matrix[[9,3], [-4,1]]
# => [-8, 2,
#      8, 1 ]

Matrix division (multiplication by the inverse).

Matrix[[7,6], [3,9]] / Matrix[[2,9], [3,1]]
# => [ -7,  1,
#      -3, -6 ]

Equality operator

Returns element (i, j) of the matrix. That is: row i, column j. Raises if either index is not found.

Returns row i of the matrix as an Array. Raises if the index is not found.

Set the value at index (i, j). That is: row i, column j.

Returns element (i, j) of the matrix. That is: row i, column j. Returns nil if either index is not found.

Returns row i of the matrix as an Array. Returns nil if the index is not found.

Returns the adjugate of the matrix.

Matrix[ [7,6],[3,9] ].adjugate

=> [ 9, -6,

-3, 7 ]

Returns a clone of the matrix, so that the contents of each do not reference identical objects.

There should be no good reason to do this since Matrices are immutable.

Attempt to coerce the elements in the matrix to another type.

Returns the (row, column) cofactor which is obtained by multiplying the first minor by (-1)**(row + column).

Matrix.diagonal(9, 5, -3, 4).cofactor(1, 1)
# => -108

Returns a block which yields every item in column j of the Matrix.

Returns column vector j of the Matrix as a Vector (starting at 0). Raises if the column doesn't exist.

Returns column vector j of the Matrix as a Vector (starting at 0). Returns nil if the column doesn't exist.

Returns the number of columns.

Returns an array of the column vectors of the matrix. See Vector.

Create a matrix by combining matrices entrywise, using the given block

x = Matrix[[6, 6], [4, 4]]
y = Matrix[[1, 2], [3, 4]]
Matrix.combine(x, y) {|a, b| a - b}
# => Matrix[[5, 4], [1, 0]]

Returns the conjugate of the matrix.

Matrix[[Complex(1,2), Complex(0,1), 0], [1, 2, 3]]
# => 1+2i   i  0
#       1   2  3
Matrix[[Complex(1,2), Complex(0,1), 0], [1, 2, 3]].conj
# => 1-2i  -i  0
#       1   2  3

Returns the determinant of the matrix.

Beware that using Float values can yield erroneous results because of their lack of precision. Consider using exact types like Rational or BigDecimal instead.

Matrix[[7,6], [3,9]].determinant
# => 45

Returns true if this is a diagonal matrix.

Yields all elements of the matrix, starting with those of the first row, or returns an Enumerator if no block given. Elements can be restricted by passing an argument:

• :all (default): yields all elements
• :diagonal: yields only elements on the diagonal
• :off_diagonal: yields all elements except on the diagonal
• :lower: yields only elements on or below the diagonal
• :strict_lower: yields only elements below the diagonal
• :strict_upper: yields only elements above the diagonal
• :upper: yields only elements on or above the diagonal

Matrix[ [1,2], [3,4] ].each { |e| puts e }
# => prints the numbers 1 to 4
Matrix[ [1,2], [3,4] ].each(:strict_lower).to_a # => [3]

Same as #each, but the row index and column index in addition to the element

Matrix[ [1,2], [3,4] ].each_with_index do |e, row, col|
puts "#{e} at #{row}, #{col}"
end
# => Prints:
#    1 at 0, 0
#    2 at 0, 1
#    3 at 1, 0
#    4 at 1, 1

Returns the Eigensystem of the matrix See EigenvalueDecomposition.

NOTE Not working yet

m = Matrix[[1, 2], [3, 4]]
v, d, v_inv = m.eigensystem
d.diagonal? # => true
v.inv == v_inv # => true
(v * d * v_inv).round(5) == m # => true

Returns true if this matrix is empty.

Returns the submatrix obtained by deleting the specified row and column.

Matrix.diagonal(9, 5, -3, 4).first_minor(1, 2)
# => [ 9, 0, 0,
#      0, 0, 0,
#      0, 0, 4 ]

Hadamard product

Matrix[[1,2], [3,4]].hadamard_product Matrix[[1,2], [3,2]]
# => [ 1,  4,
#      9,  8 ]

Returns true if this is an hermitian matrix.

Returns a new matrix resulting by stacking horizontally the receiver with the given matrices

x = Matrix[[1, 2], [3, 4]]
y = Matrix[[5, 6], [7, 8]]
x.hstack(y) # => Matrix[[1, 2, 5, 6], [3, 4, 7, 8]]

Returns the imaginary part of the matrix.

Matrix[[Complex(1,2), Complex(0,1), 0], [1, 2, 3]]
# => [ 1+2i,  i,  0,
#         1,  2,  3 ]
Matrix[[Complex(1,2), Complex(0,1), 0], [1, 2, 3]].imag
# => [ 2i,  i,  0,
#       0,  0,  0 ]

The index method is specialized to return the index as {row, column} It also accepts an optional selector argument, see #each for details.

Matrix[ [1,1], [1,1] ].index(1, :strict_lower)
# => {1, 0}

Returns the index as {row, column}, using &block to filter the result. It also accepts an optional selector argument, see #each for details.

Matrix[ [1,2], [3,4] ].index(&.even?)
# => {0, 1}

Returns the inverse of the matrix.

NOTE Always returns a Float64 regardless of Ts type. To coerce back into an Int, use #coerce.

Matrix[[-1, -1], [0, -1]].inverse
# => [ -1.0,  1.0,
#       0.0, -1.0 ]

Returns the Laplace expansion along given row or column.

Matrix[[7,6], [3,9]].laplace_expansion(column: 1)
# => 45

Matrix[[Vector[1, 0], Vector[0, 1]], [2, 3]].laplace_expansion(row: 0)
# => Vector[3, -2]

Returns true if this matrix is a lower triangular matrix.

Returns the LUP decomposition of the matrix See +LUPDecomposition+.

NOTE Not working yet

a = Matrix[[1, 2], [3, 4]]
l, u, p = a.lup
l.lower_triangular? # => true
u.upper_triangular? # => true
p.permutation?      # => true
l * u == p * a      # => true
a.lup.solve([2, 5]) # => Vector[(1/1), (1/2)]

Returns a Matrix that is the result of iteration of the given block over all elements in the matrix.

Returns a section of the Matrix.

Matrix.diagonal(9, 5, -3).minor(0, 2, 0, 3)
# => [ 9, 0, 0,
#      0, 5, 0 ]

Returns a section of the Matrix.

Matrix.diagonal(9, 5, -3).minor(0..1, 0..2)
# => [ 9, 0, 0,
#      0, 5, 0 ]

Returns true if this is a normal matrix.

Matrix[[1, 1, 0], [0, 1, 1], [1, 0, 1]].normal?
# => true

Returns true if this is an orthogonal matrix

Matrix[[1, 0], [0, 1]].orthogonal?
# => true

Returns true if this is a permutation matrix

Matrix[[1, 0], [0, 1]].permutation?
# => true

Returns the rank of the matrix.

Beware that using Float values can yield erroneous results because of their lack of precision. Consider using exact types like Rational or BigDecimal instead.

Matrix[[7,6], [3,9]].rank
# => 2

Returns the real part of the matrix.

Matrix[[Complex(1,2), Complex(0,1), 0], [1, 2, 3]]
# => [ 1+2i,  i,  0,
#         1,  2,  3 ]
Matrix[[Complex(1,2), Complex(0,1), 0], [1, 2, 3]].real
# => [ 1,  0,  0,
#      1,  2,  3 ]

Returns true if this matrix contains real numbers, i.e. not Complex.

require "complex"
Matrix[[Complex.new(1, 0)], [Complex.new(0, 1)]].real?
# => false

Returns an array containing matrices corresponding to the real and imaginary parts of the matrix

m.rect == [m.real, m.imag]
# ==> true for all matrices m

Returns true if this is a regular (i.e. non-singular) matrix.

Returns a matrix with entries rounded to the given precision (see Float#round)

Returns row vector number i of the Matrix as a Vector (starting at 0 like a good boy). Raises if the row doesn't exist.

Returns a block which yields every Vector in the row (starting at 0).

Returns row vector number i of the Matrix as a Vector (starting at 0 like a good boy). Returns nil if the row doesn't exist.

Returns the number of rows.

Returns an array of the row vectors of the matrix. See Vector.

Returns true if this is a singular matrix.

Return the row and column size as a Tuple(Int32, Int32)

Returns true if this is a square matrix.

Swaps col1 and col2

Swaps row1 and row2

Returns +true+ if this is a symmetric matrix. Raises an error if matrix is not square.

Returns the transpose of the matrix.

Matrix[[1,2], [3,4], [5,6]]
# => [ 1, 2,
#      3, 4,
#      5, 6 ]
Matrix[[1,2], [3,4], [5,6]].transpose
# => [ 1, 3, 5,
#      2, 4, 6 ]

Returns an array of arrays that describe the rows of the matrix.

Convert the matrix to a json array

Just in case

Returns the trace (sum of diagonal elements) of the matrix.

Matrix[[7,6], [3,9]].trace
# => 16

Returns the trace (sum of diagonal elements) of the matrix.

Matrix[[7,6], [3,9]].trace
# => 16

Returns the transpose of the matrix.

Matrix[[1,2], [3,4], [5,6]]
# => [ 1, 2,
#      3, 4,
#      5, 6 ]
Matrix[[1,2], [3,4], [5,6]].transpose
# => [ 1, 3, 5,
#      2, 4, 6 ]

Returns true if this is a unitary matrix

Returns true if this matrix is a upper triangular matrix.

Returns a new matrix resulting by stacking vertically the receiver with the given matrices

x = Matrix[[1, 2], [3, 4]]
y = Matrix[[5, 6], [7, 8]]
x.vstack(y)
# => Matrix[[1, 2], [3, 4], [5, 6], [7, 8]]

Returns true if this is a matrix with only zero elements