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+#!/usr/local/bin/ruby
+#
+# matrix.rb -
+# $Release Version: 1.0$
+# $Revision: 1.0 $
+# $Date: 97/05/23 11:35:28 $
+# Original Version from Smalltalk-80 version
+# on July 23, 1985 at 8:37:17 am
+# by Keiju ISHITSUKA
+#
+# --
+#
+# Matrix[[1,2,3],
+# :
+# [3,4,5]]
+# Matrix[row0,
+# row1,
+# :
+# rown]
+#
+# column: Îó
+# row: ¹Ô
+#
+
+require "e2mmap.rb"
+
+module ExceptionForMatrix
+ Exception2MessageMapper.extend_to(binding)
+
+ def_e2message(TypeError, "wrong argument type %s (expected %s)")
+ def_e2message(ArgumentError, "Wrong # of arguments(%d for %d)")
+
+ def_exception("ErrDimensionMismatch", "\#{self.type} dimemsion mismatch")
+ def_exception("ErrNotRegular", "Not Regular Matrix")
+ def_exception("ErrOperationNotDefined", "This operation(%s) can\\'t defined")
+end
+
+class Matrix
+ RCS_ID='-$Header: ruby-mode,v 1.2 91/04/20 17:24:57 keiju Locked $-'
+
+ include ExceptionForMatrix
+
+ # instance creations
+ private_class_method :new
+
+ def Matrix.[](*rows)
+ new(:init_rows, rows, FALSE)
+ end
+
+ def Matrix.rows(rows, copy = TRUE)
+ new(:init_rows, rows, copy)
+ end
+
+ 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
+
+ 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
+ }
+ self
+ rows(rows, FALSE)
+ end
+
+ def Matrix.scalar(n, value)
+ Matrix.diagonal(*Array.new(n).fill(value, 0, n))
+ end
+
+ def Matrix.identity(n)
+ Matrix.scalar(n, 1)
+ end
+ class << Matrix
+ alias unit identity
+ alias I identity
+ end
+
+ def Matrix.zero(n)
+ Matrix.scalar(n, 0)
+ end
+
+ def Matrix.row_vector(row)
+ case row
+ when Vector
+ Matrix.rows([row.to_a], FALSE)
+ when Array
+ Matrix.rows([row.dup], FALSE)
+ else
+ Matrix.row([[row]], FALSE)
+ end
+ end
+
+ 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
+
+ # initializing
+ def initialize(init_method, *argv)
+ self.send(init_method, *argv)
+ end
+
+ def init_rows(rows, copy)
+ if copy
+ @rows = rows.collect{|row| row.dup}
+ else
+ @rows = rows
+ end
+ self
+ end
+ private :init_rows
+
+ #accessing
+ def [](i, j)
+ @rows[i][j]
+ end
+
+ def row_size
+ @rows.size
+ end
+
+ def column_size
+ @rows[0].size
+ end
+
+ def row(i)
+ if iterator?
+ for e in @rows[i]
+ yield e
+ end
+ else
+ Vector.elements(@rows[i])
+ end
+ end
+
+ def column(j)
+ if iterator?
+ 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
+
+ def collect
+ rows = @rows.collect{|row| row.collect{|e| yield e}}
+ Matrix.rows(rows, FALSE)
+ end
+ alias map collect
+
+ #
+ # param: (from_row, row_size, from_col, size_col)
+ # (from_row..to_row, from_col..to_col)
+ #
+ def minor(*param)
+ case param.size
+ when 2
+ from_row = param[0].first
+ size_row = param[0].size
+ from_col = param[1].first
+ size_col = param[1].size
+ when 4
+ from_row = param[0]
+ size_row = param[1]
+ from_col = param[2]
+ size_col = param[3]
+ else
+ Matrix.fail ArgumentError, param.inspect
+ end
+
+ rows = @rows[from_row, size_row].collect{
+ |row|
+ row[from_col, size_col]
+ }
+ Matrix.rows(rows, FALSE)
+ end
+
+ # TESTING
+ def regular?
+ square? and rank == column_size
+ end
+
+ def singular?
+ not regular?
+ end
+
+ def square?
+ column_size == row_size
+ end
+
+ # ARITHMETIC
+
+ def *(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.fail 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
+
+ def +(m)
+ case m
+ when Numeric
+ Matrix.fail ErrOperationNotDefined, "+"
+ when Vector
+ m = Matrix.column_vector(m)
+ when Matrix
+ else
+ x, y = m.coerce(self)
+ return x + y
+ end
+
+ Matrix.fail 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
+
+ def -(m)
+ case m
+ when Numeric
+ Matrix.fail ErrOperationNotDefined, "-"
+ when Vector
+ m = Matrix.column_vector(m)
+ when Matrix
+ else
+ x, y = m.coerce(self)
+ return x - y
+ end
+
+ Matrix.fail 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
+
+ def inverse
+ Matrix.fail ErrDimensionMismatch unless square?
+ Matrix.I(row_size).inverse_from(self)
+ end
+ alias inv inverse
+
+ 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
+ fail 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
+ #alias reciprocal inverse
+
+ 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)
+ fail ErrOperationNotDefined, "**"
+ else
+ fail ErrOperationNotDefined, "**"
+ end
+ end
+
+ # Matrix functions
+
+ 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]
+ 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
+ alias det determinant
+
+ def rank
+ if column_size > row_size
+ a = transpose.to_a
+ else
+ a = to_a
+ end
+ rank = 0
+ k = 0
+ begin
+ if (akk = a[k][k]) == 0
+ i = -1
+ nothing = FALSE
+ begin
+ if (i += 1) > column_size - 1
+ nothing = TRUE
+ break
+ end
+ end while a[i][k] == 0
+ next if nothing
+ a[i], a[k] = a[k], a[i]
+ akk = a[k][k]
+ end
+ (k + 1).upto(row_size - 1) do
+ |i|
+ q = a[i][k] / akk
+ (k + 1).upto(column_size - 1) do
+ |j|
+ a[i][j] -= a[k][j] * q
+ end
+ end
+ rank += 1
+ end while (k += 1) <= column_size - 1
+ return rank
+ end
+
+ def trace
+ tr = 0
+ 0.upto(column_size - 1) do
+ |i|
+ tr += @rows[i][i]
+ end
+ tr
+ end
+ alias tr trace
+
+ def transpose
+ Matrix.columns(@rows)
+ end
+ alias t transpose
+
+ # CONVERTING
+
+ def coerce(other)
+ case other
+ when Numeric
+ return Scalar.new(other), self
+ end
+ end
+
+ def row_vectors
+ rows = (0 .. column_size - 1).collect {
+ |i|
+ row(i)
+ }
+ rows
+ end
+
+ def column_vectors
+ columns = (0 .. row_size - 1).collect {
+ |i|
+ column(i)
+ }
+ columns
+ end
+
+ def to_a
+ @rows.collect{|row| row.collect{|e| e}}
+ end
+
+ def to_f
+ collect{|e| e.to_f}
+ end
+
+ def to_i
+ collect{|e| e.to_i}
+ end
+
+ def to_r
+ collect{|e| e.to_r}
+ end
+
+ # PRINTING
+ def to_s
+ "Matrix[" + @rows.collect{
+ |row|
+ "[" + row.collect{|e| e.to_s}.join(", ") + "]"
+ }.join(", ")+"]"
+ end
+
+ def inspect
+ "Matrix"+@rows.inspect
+ end
+
+ # Private CLASS
+
+ class Scalar < Numeric
+ include ExceptionForMatrix
+
+ def initialize(value)
+ @value = value
+ end
+
+ # ARITHMETIC
+ def +(other)
+ case other
+ when Numeric
+ Scalar.new(@value + other)
+ when Vector, Matrix
+ Scalar.fail WrongArgType, other.type, "Numeric or Scalar"
+ when Scalar
+ Scalar.new(@value + other.value)
+ else
+ x, y = other.coerce(self)
+ x + y
+ end
+ end
+
+ def -(other)
+ case other
+ when Numeric
+ Scalar.new(@value - other)
+ when Vector, Matrix
+ Scalar.fail WrongArgType, other.type, "Numeric or Scalar"
+ when Scalar
+ Scalar.new(@value - other.value)
+ else
+ x, y = other.coerce(self)
+ x - y
+ end
+ end
+
+ def *(other)
+ case other
+ when Numeric
+ Scalar.new(@value * other)
+ when Vector, Matrix
+ other.collect{|e| @value * e}
+ else
+ x, y = other.coerce(self)
+ x * y
+ end
+ end
+
+ def / (other)
+ case other
+ when Numeric
+ Scalar.new(@value / other)
+ when Vector
+ Scalar.fail WrongArgType, other.type, "Numeric or Scalar or Matrix"
+ when Matrix
+ self * _M.inverse
+ else
+ x, y = other.coerce(self)
+ x / y
+ end
+ end
+
+ def ** (other)
+ case other
+ when Numeric
+ Scalar.new(@value ** other)
+ when Vector
+ Scalar.fail WrongArgType, other.type, "Numeric or Scalar or Matrix"
+ when Matrix
+ other.powered_by(self)
+ else
+ x, y = other.coerce(self)
+ x ** y
+ end
+ end
+ end
+end
+
+#----------------------------------------------------------------------
+#
+# -
+#
+#----------------------------------------------------------------------
+class Vector
+ include ExceptionForMatrix
+
+
+ #INSTANCE CREATION
+
+ private_class_method :new
+ def Vector.[](*array)
+ new(:init_elements, array, copy = FALSE)
+ end
+
+ def Vector.elements(array, copy = TRUE)
+ new(:init_elements, array, copy)
+ end
+
+ def initialize(method, array, copy)
+ self.send(method, array, copy)
+ end
+
+ def init_elements(array, copy)
+ if copy
+ @elements = array.dup
+ else
+ @elements = array
+ end
+ end
+
+ # ACCSESSING
+
+ def [](i)
+ @elements[i]
+ end
+
+ def size
+ @elements.size
+ end
+
+ # ENUMRATIONS
+ def each2(v)
+ Vector.fail ErrDimensionMismatch if size != v.size
+ 0.upto(size - 1) do
+ |i|
+ yield @elements[i], v[i]
+ end
+ end
+
+ def collect2(v)
+ Vector.fail ErrDimensionMismatch if size != v.size
+ (0 .. size - 1).collect do
+ |i|
+ yield @elements[i], v[i]
+ end
+ end
+
+ # ARITHMETIC
+
+ def *(x) "is matrix or number"
+ case x
+ when Numeric
+ els = @elements.collect{|e| e * x}
+ Vector.elements(els, FALSE)
+ when Matrix
+ self.covector * x
+ else
+ s, x = X.corece(self)
+ s * x
+ end
+ end
+
+ def +(v)
+ case v
+ when Vector
+ Vector.fail ErrDimensionMismatch if size != v.size
+ els = collect2(v) {
+ |v1, v2|
+ v1 + v2
+ }
+ Vector.elements(els, FALSE)
+ when Matrix
+ Matrix.column_vector(self) + v
+ else
+ s, x = v.corece(self)
+ s + x
+ end
+ end
+
+ def -(v)
+ case v
+ when Vector
+ Vector.fail ErrDimensionMismatch if size != v.size
+ els = collect2(v) {
+ |v1, v2|
+ v1 - v2
+ }
+ Vector.elements(els, FALSE)
+ when Matrix
+ Matrix.column_vector(self) - v
+ else
+ s, x = v.corece(self)
+ s - x
+ end
+ end
+
+ # VECTOR FUNCTIONS
+
+ def inner_product(v)
+ Vector.fail ErrDimensionMismatch if size != v.size
+
+ p = 0
+ each2(v) {
+ |v1, v2|
+ p += v1 * v2
+ }
+ p
+ end
+
+ def collect
+ els = @elements.collect {
+ |v|
+ yield v
+ }
+ Vector.elements(els, FALSE)
+ end
+ alias map collect
+
+ def map2(v)
+ els = collect2(v) {
+ |v1, v2|
+ yield v1, v2
+ }
+ Vector.elements(els, FALSE)
+ end
+
+ def r
+ v = 0
+ for e in @elements
+ v += e*e
+ end
+ return v.sqrt
+ end
+
+ # CONVERTING
+ def covector
+ Matrix.row_vector(self)
+ end
+
+ def to_a
+ @elements.dup
+ end
+
+ def to_f
+ collect{|e| e.to_f}
+ end
+
+ def to_i
+ collect{|e| e.to_i}
+ end
+
+ def to_r
+ collect{|e| e.to_r}
+ end
+
+ def coerce(other)
+ case other
+ when Numeric
+ return Scalar.new(other), self
+ end
+ end
+
+ # PRINTING
+
+ def to_s
+ "Vector[" + @elements.join(", ") + "]"
+ end
+
+ def inspect
+ str = "Vector"+@elements.inspect
+ end
+end
+