Class: Matrix
Overview
The Matrix
class represents a mathematical matrix, and provides methods for creating special-case matrices (zero, identity, diagonal, singular, vector), operating on them arithmetically and algebraically, and determining their mathematical properties (trace, rank, inverse, determinant).
Note that although matrices should theoretically be rectangular, this is not enforced by the class.
Also note that the determinant of integer matrices may be incorrectly calculated unless you also require 'mathn'
. This may be fixed in the future.
Method Catalogue
To create a matrix:
-
Matrix[*rows]
-
Matrix.[](*rows)
-
Matrix.rows(rows, copy = true)
-
Matrix.columns(columns)
-
Matrix.diagonal(*values)
-
Matrix.scalar(n, value)
-
Matrix.scalar(n, value)
-
Matrix.identity(n)
-
Matrix.unit(n)
-
Matrix.I(n)
-
Matrix.zero(n)
-
Matrix.row_vector(row)
-
Matrix.column_vector(column)
To access Matrix elements/columns/rows/submatrices/properties:
-
[](i, j)
-
#row_size
-
#column_size
-
#row(i)
-
#column(j)
-
#collect
-
#map
-
#minor(*param)
Properties of a matrix:
-
#regular?
-
#singular?
-
#square?
Matrix arithmetic:
-
*(m)
-
+(m)
-
-(m)
-
#/(m)
-
#inverse
-
#inv
-
**
Matrix functions:
-
#determinant
-
#det
-
#rank
-
#trace
-
#tr
-
#transpose
-
#t
Conversion to other data types:
-
#coerce(other)
-
#row_vectors
-
#column_vectors
-
#to_a
String representations:
-
#to_s
-
#inspect
Defined Under Namespace
Classes: Scalar
Class Method Summary collapse
-
.[](*rows) ⇒ Object
Creates a matrix where each argument is a row.
-
.column_vector(column) ⇒ Object
Creates a single-column matrix where the values of that column are as given in
column
. -
.columns(columns) ⇒ Object
Creates a matrix using
columns
as an array of column vectors. -
.diagonal(*values) ⇒ Object
Creates a matrix where the diagonal elements are composed of
values
. -
.identity(n) ⇒ Object
(also: unit, I)
Creates an
n
byn
identity matrix. -
.row_vector(row) ⇒ Object
Creates a single-row matrix where the values of that row are as given in
row
. -
.rows(rows, copy = true) ⇒ Object
Creates a matrix where
rows
is an array of arrays, each of which is a row to the matrix. -
.scalar(n, value) ⇒ Object
Creates an
n
byn
diagonal matrix where each diagonal element isvalue
. -
.zero(n) ⇒ Object
Creates an
n
byn
zero matrix.
Instance Method Summary collapse
-
#*(m) ⇒ Object
Matrix multiplication.
-
#**(other) ⇒ Object
Matrix exponentiation.
-
#+(m) ⇒ Object
Matrix addition.
-
#-(m) ⇒ Object
Matrix subtraction.
-
#/(other) ⇒ Object
Matrix division (multiplication by the inverse).
-
#==(other) ⇒ Object
(also: #eql?)
Returns
true
if and only if the two matrices contain equal elements. -
#[](i, j) ⇒ Object
Returns element (
i
,j
) of the matrix. -
#clone ⇒ Object
Returns a clone of the matrix, so that the contents of each do not reference identical objects.
-
#coerce(other) ⇒ Object
FIXME: describe #coerce.
-
#collect ⇒ Object
(also: #map)
Returns a matrix that is the result of iteration of the given block over all elements of the matrix.
-
#column(j) ⇒ Object
Returns column vector number
j
of the matrix as a Vector (starting at 0 like an array). -
#column_size ⇒ Object
Returns the number of columns.
-
#column_vectors ⇒ Object
Returns an array of the column vectors of the matrix.
-
#compare_by_row_vectors(rows) ⇒ Object
Not really intended for general consumption.
-
#determinant ⇒ Object
(also: #det)
Returns the determinant of the matrix.
-
#hash ⇒ Object
Returns a hash-code for the matrix.
-
#initialize(init_method, *argv) ⇒ Matrix
constructor
This method is used by the other methods that create matrices, and is of no use to general users.
-
#inspect ⇒ Object
Overrides Object#inspect.
-
#inverse ⇒ Object
(also: #inv)
Returns the inverse of the matrix.
-
#inverse_from(src) ⇒ Object
Not for public consumption?.
-
#minor(*param) ⇒ Object
Returns a section of the matrix.
-
#rank ⇒ Object
Returns the rank of the matrix.
-
#regular? ⇒ Boolean
Returns
true
if this is a regular matrix. -
#row(i) ⇒ Object
Returns row vector number
i
of the matrix as a Vector (starting at 0 like an array). -
#row_size ⇒ Object
Returns the number of rows.
-
#row_vectors ⇒ Object
Returns an array of the row vectors of the matrix.
-
#singular? ⇒ Boolean
Returns
true
is this is a singular (i.e. non-regular) matrix. -
#square? ⇒ Boolean
Returns
true
is this is a square matrix. -
#to_a ⇒ Object
Returns an array of arrays that describe the rows of the matrix.
-
#to_s ⇒ Object
Overrides Object#to_s.
-
#trace ⇒ Object
(also: #tr)
Returns the trace (sum of diagonal elements) of the matrix.
-
#transpose ⇒ Object
(also: #t)
Returns the transpose of the matrix.
Constructor Details
#initialize(init_method, *argv) ⇒ Matrix
This method is used by the other methods that create matrices, and is of no use to general users.
248 249 250 |
# File 'lib/matrix.rb', line 248 def initialize(init_method, *argv) self.send(init_method, *argv) end |
Class Method Details
.[](*rows) ⇒ Object
Creates a matrix where each argument is a row.
Matrix[ [25, 93], [-1, 66] ]
=> 25 93
-1 66
122 123 124 |
# File 'lib/matrix.rb', line 122 def Matrix.[](*rows) new(:init_rows, rows, false) end |
.column_vector(column) ⇒ Object
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
233 234 235 236 237 238 239 240 241 242 |
# File 'lib/matrix.rb', line 233 def Matrix.column_vector(column) case column when Vector Matrix.columns([column.to_a]) when Array Matrix.columns([column]) else Matrix.columns([[column]]) end end |
.columns(columns) ⇒ Object
Creates a matrix using columns
as an array of column vectors.
Matrix.columns([[25, 93], [-1, 66]])
=> 25 -1
93 66
144 145 146 147 148 149 150 151 152 153 |
# File 'lib/matrix.rb', line 144 def Matrix.columns(columns) rows = (0 .. columns[0].size - 1).collect { |i| (0 .. columns.size - 1).collect { |j| columns[j][i] } } Matrix.rows(rows, false) end |
.diagonal(*values) ⇒ Object
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
162 163 164 165 166 167 168 169 170 171 |
# File 'lib/matrix.rb', line 162 def Matrix.diagonal(*values) size = values.size rows = (0 .. size - 1).collect { |j| row = Array.new(size).fill(0, 0, size) row[j] = values[j] row } rows(rows, false) end |
.identity(n) ⇒ Object Also known as: unit, I
Creates an n
by n
identity matrix.
Matrix.identity(2)
=> 1 0
0 1
190 191 192 |
# File 'lib/matrix.rb', line 190 def Matrix.identity(n) Matrix.scalar(n, 1) end |
.row_vector(row) ⇒ Object
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
214 215 216 217 218 219 220 221 222 223 |
# File 'lib/matrix.rb', line 214 def Matrix.row_vector(row) case row when Vector Matrix.rows([row.to_a], false) when Array Matrix.rows([row.dup], false) else Matrix.rows([[row]], false) end end |
.rows(rows, copy = true) ⇒ Object
Creates a matrix where rows
is an array of arrays, each of which is a row to 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
133 134 135 |
# File 'lib/matrix.rb', line 133 def Matrix.rows(rows, copy = true) new(:init_rows, rows, copy) end |
Instance Method Details
#*(m) ⇒ Object
Matrix multiplication.
Matrix[[2,4], [6,8]] * Matrix.identity(2)
=> 2 4
6 8
451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 |
# File 'lib/matrix.rb', line 451 def *(m) # m is matrix or vector or number case(m) when Numeric rows = @rows.collect { |row| row.collect { |e| e * m } } return Matrix.rows(rows, false) when Vector m = Matrix.column_vector(m) r = self * m return r.column(0) when Matrix Matrix.Raise ErrDimensionMismatch if column_size != m.row_size rows = (0 .. row_size - 1).collect { |i| (0 .. m.column_size - 1).collect { |j| vij = 0 0.upto(column_size - 1) do |k| vij += self[i, k] * m[k, j] end vij } } return Matrix.rows(rows, false) else x, y = m.coerce(self) return x * y end end |
#**(other) ⇒ Object
Matrix exponentiation. Defined for integer powers only. Equivalent to multiplying the matrix by itself N times.
Matrix[[7,6], [3,9]] ** 2
=> 67 96
48 99
638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 |
# File 'lib/matrix.rb', line 638 def ** (other) if other.kind_of?(Integer) x = self if other <= 0 x = self.inverse return Matrix.identity(self.column_size) if other == 0 other = -other end z = x n = other - 1 while n != 0 while (div, mod = n.divmod(2) mod == 0) x = x * x n = div end z *= x n -= 1 end z elsif other.kind_of?(Float) || defined?(Rational) && other.kind_of?(Rational) Matrix.Raise ErrOperationNotDefined, "**" else Matrix.Raise ErrOperationNotDefined, "**" end end |
#+(m) ⇒ Object
Matrix addition.
Matrix.scalar(2,5) + Matrix[[1,0], [-4,7]]
=> 6 0
-4 12
494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 |
# File 'lib/matrix.rb', line 494 def +(m) case m when Numeric Matrix.Raise ErrOperationNotDefined, "+" when Vector m = Matrix.column_vector(m) when Matrix else x, y = m.coerce(self) return x + y end Matrix.Raise ErrDimensionMismatch unless row_size == m.row_size and column_size == m.column_size rows = (0 .. row_size - 1).collect { |i| (0 .. column_size - 1).collect { |j| self[i, j] + m[i, j] } } Matrix.rows(rows, false) end |
#-(m) ⇒ Object
Matrix subtraction.
Matrix[[1,5], [4,2]] - Matrix[[9,3], [-4,1]]
=> -8 2
8 1
524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 |
# File 'lib/matrix.rb', line 524 def -(m) case m when Numeric Matrix.Raise ErrOperationNotDefined, "-" when Vector m = Matrix.column_vector(m) when Matrix else x, y = m.coerce(self) return x - y end Matrix.Raise ErrDimensionMismatch unless row_size == m.row_size and column_size == m.column_size rows = (0 .. row_size - 1).collect { |i| (0 .. column_size - 1).collect { |j| self[i, j] - m[i, j] } } Matrix.rows(rows, false) end |
#/(other) ⇒ Object
Matrix division (multiplication by the inverse).
Matrix[[7,6], [3,9]] / Matrix[[2,9], [3,1]]
=> -7 1
-3 -6
554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 |
# File 'lib/matrix.rb', line 554 def /(other) case other when Numeric rows = @rows.collect { |row| row.collect { |e| e / other } } return Matrix.rows(rows, false) when Matrix return self * other.inverse else x, y = other.coerce(self) rerurn x / y end end |
#==(other) ⇒ Object Also known as: eql?
Returns true
if and only if the two matrices contain equal elements.
400 401 402 403 404 |
# File 'lib/matrix.rb', line 400 def ==(other) return false unless Matrix === other other.compare_by_row_vectors(@rows) end |
#[](i, j) ⇒ Object
Returns element (i
,j
) of the matrix. That is: row i
, column j
.
265 266 267 |
# File 'lib/matrix.rb', line 265 def [](i, j) @rows[i][j] end |
#clone ⇒ Object
Returns a clone of the matrix, so that the contents of each do not reference identical objects.
424 425 426 |
# File 'lib/matrix.rb', line 424 def clone Matrix.rows(@rows) end |
#coerce(other) ⇒ Object
FIXME: describe #coerce.
809 810 811 812 813 814 815 816 |
# File 'lib/matrix.rb', line 809 def coerce(other) case other when Numeric return Scalar.new(other), self else raise TypeError, "#{self.class} can't be coerced into #{other.class}" end end |
#collect ⇒ Object Also known as: map
Returns a matrix that is the result of iteration of the given block over all elements of the matrix.
Matrix[ [1,2], [3,4] ].collect { |i| i**2 }
=> 1 4
9 16
327 328 329 330 |
# File 'lib/matrix.rb', line 327 def collect # :yield: e rows = @rows.collect{|row| row.collect{|e| yield e}} Matrix.rows(rows, false) end |
#column(j) ⇒ Object
Returns column vector number j
of the matrix as a Vector (starting at 0 like an array). When a block is given, the elements of that vector are iterated.
305 306 307 308 309 310 311 312 313 314 315 316 317 318 |
# File 'lib/matrix.rb', line 305 def column(j) # :yield: e if block_given? 0.upto(row_size - 1) do |i| yield @rows[i][j] end else col = (0 .. row_size - 1).collect { |i| @rows[i][j] } Vector.elements(col, false) end end |
#column_size ⇒ Object
Returns the number of columns. Note that it is possible to construct a matrix with uneven columns (e.g. Matrix[ [1,2,3], [4,5] ]), but this is mathematically unsound. This method uses the first row to determine the result.
282 283 284 |
# File 'lib/matrix.rb', line 282 def column_size @rows[0].size end |
#column_vectors ⇒ Object
Returns an array of the column vectors of the matrix. See Vector.
832 833 834 835 836 837 838 |
# File 'lib/matrix.rb', line 832 def column_vectors columns = (0 .. column_size - 1).collect { |i| column(i) } columns end |
#compare_by_row_vectors(rows) ⇒ Object
Not really intended for general consumption.
410 411 412 413 414 415 416 417 418 |
# File 'lib/matrix.rb', line 410 def compare_by_row_vectors(rows) return false unless @rows.size == rows.size 0.upto(@rows.size - 1) do |i| return false unless @rows[i] == rows[i] end true end |
#determinant ⇒ Object Also known as: det
Returns the determinant of the matrix. If the matrix is not square, the result is 0.
Matrix[[7,6], [3,9]].determinant
=> 63
675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 |
# File 'lib/matrix.rb', line 675 def determinant return 0 unless square? size = row_size - 1 a = to_a det = 1 k = 0 begin if (akk = a[k][k]) == 0 i = k begin return 0 if (i += 1) > size end while a[i][k] == 0 a[i], a[k] = a[k], a[i] akk = a[k][k] det *= -1 end (k + 1).upto(size) do |i| q = a[i][k] / akk (k + 1).upto(size) do |j| a[i][j] -= a[k][j] * q end end det *= akk end while (k += 1) <= size det end |
#hash ⇒ Object
Returns a hash-code for the matrix.
431 432 433 434 435 436 437 438 439 |
# File 'lib/matrix.rb', line 431 def hash value = 0 for row in @rows for e in row value ^= e.hash end end return value end |
#inspect ⇒ Object
Overrides Object#inspect
864 865 866 |
# File 'lib/matrix.rb', line 864 def inspect "Matrix"+@rows.inspect end |
#inverse ⇒ Object Also known as: inv
Returns the inverse of the matrix.
Matrix[[1, 2], [2, 1]].inverse
=> -1 1
0 -1
579 580 581 582 |
# File 'lib/matrix.rb', line 579 def inverse Matrix.Raise ErrDimensionMismatch unless square? Matrix.I(row_size).inverse_from(self) end |
#inverse_from(src) ⇒ Object
Not for public consumption?
588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 |
# File 'lib/matrix.rb', line 588 def inverse_from(src) size = row_size - 1 a = src.to_a for k in 0..size if (akk = a[k][k]) == 0 i = k begin Matrix.Raise ErrNotRegular if (i += 1) > size end while a[i][k] == 0 a[i], a[k] = a[k], a[i] @rows[i], @rows[k] = @rows[k], @rows[i] akk = a[k][k] end for i in 0 .. size next if i == k q = a[i][k] / akk a[i][k] = 0 (k + 1).upto(size) do |j| a[i][j] -= a[k][j] * q end 0.upto(size) do |j| @rows[i][j] -= @rows[k][j] * q end end (k + 1).upto(size) do |j| a[k][j] /= akk end 0.upto(size) do |j| @rows[k][j] /= akk end end self end |
#minor(*param) ⇒ Object
Returns a section of the matrix. The parameters are either:
-
start_row, nrows, start_col, ncols; OR
-
col_range, row_range
Matrix.diagonal(9, 5, -3).minor(0..1, 0..2)
=> 9 0 0
0 5 0
342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 |
# File 'lib/matrix.rb', line 342 def minor(*param) case param.size when 2 from_row = param[0].first size_row = param[0].end - from_row size_row += 1 unless param[0].exclude_end? from_col = param[1].first size_col = param[1].end - from_col size_col += 1 unless param[1].exclude_end? when 4 from_row = param[0] size_row = param[1] from_col = param[2] size_col = param[3] else Matrix.Raise ArgumentError, param.inspect end rows = @rows[from_row, size_row].collect{ |row| row[from_col, size_col] } Matrix.rows(rows, false) end |
#rank ⇒ Object
Returns the rank of the matrix. Beware that using Float values, with their usual lack of precision, can affect the value returned by this method. Use Rational values instead if this is important to you.
Matrix[[7,6], [3,9]].rank
=> 2
714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 |
# File 'lib/matrix.rb', line 714 def rank if column_size > row_size a = transpose.to_a a_column_size = row_size a_row_size = column_size else a = to_a a_column_size = column_size a_row_size = row_size end rank = 0 k = 0 begin if (akk = a[k][k]) == 0 i = k exists = true begin if (i += 1) > a_column_size - 1 exists = false break end end while a[i][k] == 0 if exists a[i], a[k] = a[k], a[i] akk = a[k][k] else i = k exists = true begin if (i += 1) > a_row_size - 1 exists = false break end end while a[k][i] == 0 if exists k.upto(a_column_size - 1) do |j| a[j][k], a[j][i] = a[j][i], a[j][k] end akk = a[k][k] else next end end end (k + 1).upto(a_row_size - 1) do |i| q = a[i][k] / akk (k + 1).upto(a_column_size - 1) do |j| a[i][j] -= a[k][j] * q end end rank += 1 end while (k += 1) <= a_column_size - 1 return rank end |
#regular? ⇒ Boolean
Returns true
if this is a regular matrix.
374 375 376 |
# File 'lib/matrix.rb', line 374 def regular? square? and rank == column_size end |
#row(i) ⇒ Object
Returns row vector number i
of the matrix as a Vector (starting at 0 like an array). When a block is given, the elements of that vector are iterated.
290 291 292 293 294 295 296 297 298 |
# File 'lib/matrix.rb', line 290 def row(i) # :yield: e if block_given? for e in @rows[i] yield e end else Vector.elements(@rows[i]) end end |
#row_size ⇒ Object
Returns the number of rows.
272 273 274 |
# File 'lib/matrix.rb', line 272 def row_size @rows.size end |
#row_vectors ⇒ Object
Returns an array of the row vectors of the matrix. See Vector.
821 822 823 824 825 826 827 |
# File 'lib/matrix.rb', line 821 def row_vectors rows = (0 .. row_size - 1).collect { |i| row(i) } rows end |
#singular? ⇒ Boolean
Returns true
is this is a singular (i.e. non-regular) matrix.
381 382 383 |
# File 'lib/matrix.rb', line 381 def singular? not regular? end |
#square? ⇒ Boolean
Returns true
is this is a square matrix. See note in column_size about this being unreliable, though.
389 390 391 |
# File 'lib/matrix.rb', line 389 def square? column_size == row_size end |
#to_a ⇒ Object
Returns an array of arrays that describe the rows of the matrix.
843 844 845 |
# File 'lib/matrix.rb', line 843 def to_a @rows.collect{|row| row.collect{|e| e}} end |
#to_s ⇒ Object
Overrides Object#to_s
854 855 856 857 858 859 |
# File 'lib/matrix.rb', line 854 def to_s "Matrix[" + @rows.collect{ |row| "[" + row.collect{|e| e.to_s}.join(", ") + "]" }.join(", ")+"]" end |
#trace ⇒ Object Also known as: tr
Returns the trace (sum of diagonal elements) of the matrix.
Matrix[[7,6], [3,9]].trace
=> 16
777 778 779 780 781 782 783 784 |
# File 'lib/matrix.rb', line 777 def trace tr = 0 0.upto(column_size - 1) do |i| tr += @rows[i][i] end tr end |