Ruby实现的矩阵连乘算法

动态规划解决矩阵连乘问题,随机产生矩阵序列,输出形如((A1(A2A3))(A4A5))的结果。

代码:

#encoding: utf-8

=begin

author: xu jin, 4100213

date: Oct 28, 2012

MatrixChain

to find an optimum order by using MatrixChain algorithm

example output:

The given array is:[30, 35, 15, 5, 10, 20, 25]

The optimum order is:((A1(A2A3))((A4A5)A6))

The total number of multiplications is: 15125

The random array is:[5, 8, 8, 2, 5, 9]

The optimum order is:((A1(A2A3))(A4A5))

The total number of multiplications is: 388

=end

INFINTIY = 1 / 0.0

p = [30, 35, 15, 5, 10, 20, 25]

m, s = Array.new(p.size){Array.new(p.size)}, Array.new(p.size){Array.new(p.size)}

def matrix_chain_order(p, m, s)

n = p.size - 1

(1..n).each{|i| m[i][i] = 0}

for r in (2..n) do

for i in (1..n - r + 1) do

j = r + i - 1

m[i][j] = INFINTIY

for k in (i...j) do

q = m[i][k] + m[k + 1][j] + p[i - 1] * p[k] * p[j]

m[i][j], s[i][j] = q, k if(q < m[i][j])

end

end

end

end

def print_optimal_parens(s, i, j)

if(i == j) then

print "A" + i.to_s

else

print "("

print_optimal_parens(s, i, s[i][j])

print_optimal_parens(s, s[i][j] + 1, j)

print ")"

end

end

def process(p, m, s)

matrix_chain_order(p, m, s)

print "The optimum order is:"

print_optimal_parens(s, 1, p.size - 1)

printf("\nThe total number of multiplications is: %d\n\n", m[1][p.size - 1])

end

puts "The given array is:" + p.to_s

process(p, m, s)

#produce a random array

p = Array.new

x = rand(10)

(0..x).each{|index| p[index] = rand(10) + 1}

puts "The random array is:" + p.to_s

m, s = Array.new(p.size){Array.new(p.size)}, Array.new(p.size){Array.new(p.size)}

process(p, m, s)


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